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Getting Started with Photogrammetry with an Smartphone Camera [2019]

With the recent advancements in computer vision, spatial computing devices (VR/AR headsets), high quality cameras in our pockets, and open sourced software, a 3D capturing method called Photogrammetry is becoming more accessible to game developers, photographers, as well as VFX artists.Youve probably seen all the cool videos, played games with hyper-realistic assets (like, or even visited Photogrammetry locations in VR. So, heres how to get your feet wet into capturing Photogrammetry with your smartphone and free software!

Getting Started with Photogrammetry  with an Smartphone Camera [2019] 1

Pre-Requirements:Camera (Ill be using an iPhone 7 Plus for this tutorial)a PC w/ Nvidia GPU (highly recommended), 16GB RAM (32GB recommended)Photogrammetry software: Meshroom (free and open-source!)3D editing sofware: Meshmixer (also free!)Patience (and lots of it)Choosing the subjectYou can divide Photogrammetry into a few different of genres based around subjects, including interiors captures, building exteriors, terrain and grand landscape, macro Photogrammetry, people scanning, shoe scanning, tree stump scanning, and etc.

Check Sketchfabs Photogrammetry section for inspiration.I specialize in interior and exterior captures, which is what well also focus on in this tutorial (which also dont require extra equipment like lighting, turntables, or drones).There isnt any real difference in how the subjects get processed and created into 3D, but how you take pictures.

Exterior captures (Capturing houses or singular objects)Exterior captures can be somewhat easier to begin with purely because theyre harder to mess up. You have a subject that you can walk (or fly) around and take a overlapping photos along that path.The scale of the subjects can vary.

You can capture everything from the exterior of a building to something as small as a pinecone. It all depends on what cameras you have access to.Interior subjects (inside out photography)Interior captures such as bedrooms may seem easy, but typically are one of the more difficult things to capture and process cleanly.

Getting Started with Photogrammetry  with an Smartphone Camera [2019] 2

White, featureless, clean walls can make alignment difficult and depthmaps more noisy. When it comes to capturing the interiors of environments, the best tools at your disposal will be:A camera like a DSLR that can handle lower lit situations (new smartphones can be decent at handling these situations as well)a WIDE angle lens (ideally between 1220mm)a tripod (if the space is actually really dark and you need longer exposure times).TONS of overlapping picturesFor a more in-depth interior capture tutorial, read my Getting Started with Photogrammetry Part 2.

Capture DayNow that youve decided what you want to capture, lets start with planning the capturing method. For this example, Ill be shooting with my iPhone 7 Plus using the stock Camera app (12MP camera with /1.8).

Start at a position with the full subject in view, walk around your subject, and take a photo at every step. Be sure to stop to take each photo to ensure sharpness and reduce rolling shutter issues. You can download the 97 images to work with the same image dataset.

Keep the lighting consistentMinimize the capture time to keep the lighting even between the first and the last photo for your data set. This wasnt an issue for our brick fireplace tutorial as the total capture time was 2 minutes, but can be an issue for much larger projects (1hr capture times). This scan of the Geghard Monastery was done over the course of a few hours.

As you can tell, the sun moved, and created two different angles of shade. I should mention, there are ways of fixing this, and it requires turning off specific images being using in texturing if the lighting/exposure is different than the rest. Remember, shadows move slower when the sun is directly vertical(12:00 PM) than at dawn or dusk.

Ideally, a cloudy day gives you more leeway to capture over a longer period of time without noticeable harsh shadows moving.Most Photogrammetry guides will recommend that you capture only on cloudy days which can be useful if you want to capture smaller subjects like rocks and wood to turn into a PBR material and use as an asset in a video game. However, that is not how I use Photogrammetry, especially for the subjects that I capture (check out my work on Sketchfab).

I see this technology as an natural extension of Photography/Cinematography and apply the same principles to capturing scenes in the most beautiful lit settings.My final scenes are almost never lit, as the normals you get from Photogrammetry are typically noisy and not ideal to be lit. If you have the scene be unlit in engine or in Sketchfab, your textures will look much more photorealistic than anything a standard shader will provide.

Two important details to remember:Capturing for alignment: To make sure that you all your photos align as one 3D model, your pictures need to have a ton of overlap (at least 50%). Its best to use a non-fisheye, wide angle lens (12mm 18mm) to reduce the amount of total overlapping photos you need. Its better to stand far and capturing beyond the subject that youre interested in.

If capturing a large area (like a house with rooms), its best split up the capture of each area as its own run which all share a common starting and ending point (somewhere in the middle of the house). You can think of each run as closing the loop so that the Photogrammetry software can recognize that how these other rooms are connected to each other. Capturing for texture: The other important side of the capture method is to ensure you have close-up photos of the subject, to get those fine textures and geometry integrated into your scan.

Its important to take pictures between your overview alignment photos and these close-up texture photos so the software can make sense of the camera movements.Photogrammetry Processing: MeshroomFor this tutorial, well be using Meshroom. Its an open-sourced Photogrammetry processing software based on the Alicevision framework.

The teams behind the software have made significant performance updates since its inception in 2018, which is why weve updated this tutorial to base it entirely around this free software.Its worth mentioning that at realities.io, our go-to Photogrammetry processing software is Reality Capture, primarily because our image datasets can be large (2,00020,000) and heavy (42mp per image), so reducing processing time is absolutely essential for our project turnaround times.

However, were quite impressed with the progress made with Meshroom as well as its flexibility for different workflows and pipelines and are eager to see what developers can do with it.Transfer images to PCFor iPhone Mac users, the Airdrop workflow is quite decent. Select up to 150 images at a time, and airdrop them to your Mac.

For PC users, weve used Google Drive to upload and transfer images. Android phones do have an advantages of granting root access to your files via USB, so transferring images without needing to upload to a cloud location is great.Finish up by making a main project folder, and a subfolder called Images that contain your image dataset.

The simple 1-step, full Photogrammetry processing button!If youd like a quick, no hassle result of your work, you can import your images and press Start and Meshroom will align, mesh, and texture the capture.This works great, but typically the end result will be much higher poly than youd need.

We recommend adding a MeshDecimate node to decimate the mesh to a usable poly count. right click in the Graph Editor, select MeshDecimate.right click on the link between MeshFiltering and Texturing nodes and click Remove.

Click on MeshDecimate and in its Attributes, change the Max Vertices setting to 50,000 (adjust this amount up if you have a bigger scene that needs more dense mesh). Connect the MeshDecimate node to MeshFiltering and Texturing as seen bellow.Right click on Texturing node, and select Compute.

Once its done, double click on the Texturing node to load it into the 3D Viewer. You can also hide the StructureFromMotion point cloud and cameras by clicking on the eye icon to get a better view of your textured meshTo export the textured mesh, right click on the Texturing node and select Open Folder. You can also find it in this directory:[PROJECTFOLDER]MeshroomCacheTexturingThe mesh will most likely have a lot of polygons, a bunch of the surrounding reconstructed, and a few 8k textures.

HOWEVER, its common that there are parameters you can optimize to get better camera alignment, better mesh quality, and better texture. The following steps will go through various nodes and settings that can help you achieve better results.The Detailed Photogrammetry processing stepsNodes based iteration systemBefore we begin jumping into tweaking settings, you should know how Meshrooms node based system is fantastic for iterating on tweaking settings, processing, and comparing the results.

For any node, if youd like to change a setting to see how it affects its results, you can right click, and select the Duplicate >>. This will duplicate that node and every node after (which is useful because its hard to remember how to link all the nodes together and in which order).You will see how well use this iteration system for getting the best results of our mesh for our needs.

Image and camera propertiesStep 1: Drag and drop the images into the Images sidebar. Make sure the Meshroom is detecting the correct camera and lens properties by hovering over the green icon on the images. If youre using a common phone or camera, you should be just fine.

If not, you can look up your lens and sensor parameters and manually input them [guide]. Feature matching and Camera alignmentThe first step to Photogrammetry processing is feature extraction and camera alignment.Meshroom loads with all the Photogrammetry nodes you need.

Dont be put off by how many nodes there are. You dont really need to know what each does to be able to able to get good results. But with this tutorial, youll understand what each cluster of nodes do.

I spaced out the alignment nodes cluster for clarity. For simple subjects like the brick fireplace subject we picked, where the subject is not reflective, the surrounding is visible and full of features, and I systematically moved between each image and ensured overlap between each image, we should be confident that the images should all properly align.Step 2: Right-click on the StructureFromMotion node and click Compute.

Meshroom will process all the nodes up until that node. If successful, you should have all your images align (in my case, 97 images) and produce a sparse point cloud.If you have less than 300 images, Meshroom recommends that you increase the FeatureExtraction node Describer Preset to High from Normal.

All this means is that the feature extraction algorithm will find and use more features per image to find precise alignment of the cameras in the scene (which also means it will take more time to process, but for small datasets, its not very significant). If youre having alignment problems,In FeatureExtraction, increase the Describer preset to High or Ultra.In FeatureExtraction, turn on Guided Matching setting.

In the FeatureExtraction, FeatureMatching, and StructureFromMotion nodes, change the Describer Types to AKAZE (default: SIFT). Meshroom documentation says it may improve results from some surfaces like skin as it is more affine invariant than SIFT and can help recover connections when you have not enough images in input.Depthmaps and MeshingThe next step after camera alignment is to generate depth maps and create a mesh (the geometry of the Photogrammetry scene).

NOTE: Generating DepthMaps ONLY works for Nvidia equipped PCs, so for everyone else, youll have to use Draft Meshing and skip generating Depthmaps. Again, Ive arranged the nodes in clusters for the sake of this tutorial.Step 3: Right click on Meshfiltering and click Process.

Go and have some coffee, this step will take the longest. Once its done it should look like this:As you can see, it produced a mesh with 3.9mil polygons and a fair bit of the surrounding environment (which we dont really need).

Improving Mesh QualityIf youd like to improve the meshing quality of the subject, there are a few settings to tweak. To decrease meshing the surrounding,in the Meshing node, you can increase Min Observations Angle for SfM Space Estimation much higher to discard meshing the surroundingTo have a denser mesh reconstruction (higher poly count),in the Meshing node, you can increase Max Input Points and Max Points (this is limited by your PCs RAM. 16GB RAM users might need to lower these parameters)In the DepthMap node, you can decrease the Downscale setting from 2 [default] to 1 (note: this will increase processing times by 4x)If youre getting holes in your mesh, in DepthMapFilter, you can reduce the Min Consistent Cameras to 2 and Min Consistent Cameras Bad Similarity to 3if your mesh is still noisy generally more noisy than youd like, you can increase the MeshFiltering Smoothing iteration amount.

However, after some iteration and tweaking settings, I wasnt getting a mesh that looked all that different from the default settings. This might be tied to the limited quality of my camera and the small size of the scene.The biggest improvement in mesh quality I observed was setting the DepthMap downscale factor to 1 (default 2).

Mesh retopology and quick editing / cropIts recommended to edit the higher poly mesh to have a master mesh (the result before MeshDecimate), so that when you create lower poly derivatives, you dont need to redo all your work. Step 5: Launch Meshmixer to edit the meshDrag and drop the mesh youd like to edit (recall that you can right-click on the last node you processed and select Open Folder to find your mesh)If there are floaty triangles that youd like to get rid of, select the Select tool (shortcut S key), double click on the largest component, then press I to invert your selection to everything thats not connected to the mesh. (note there, the MeshFiltering node also has an option to Keep Only the Largest Mesh which I couldve used)Now lets crop out the surroundings with a clean cut.

Select Edit > Plane Cut. Left-click and drag a line to set the location of the plane cut. Flip the direction of the cut if need be (as seen in the gif bellow).

There might be some parts of the mesh youd like to smooth out. I use the Sculpt>Robust Smooth tool as seen in the gif bellow. If youre happy with your edits, export is as an OBJ to any accessible folder (doesnt need to be your Meshroom projects directory) and use this mesh as your Master Mesh.

Re-import mesh into MeshmixerWere almost there! We just need to decimate and texture, and well be done.The mesh re-import process can be done on any Node that accepts meshes as an input.

You just need to disconnect the link from the previous node so you can type in the directory of the mesh youd like to import.Step 6: re-import mesh into MeshroomCreate a MeshDecimate node and connect it between Meshfiltering and TexturingNow, to import the Meshmixer edited master mesh, disconnect the MeshDecimate Input link, select MeshDecimate, and drag and drop your edited OBJ onto the Input Mesh text field (as seen in the gif bellow).Select MeshDecimate, and change Max Vertices to 50,000 (equivalent to 100k poly)Texturing SettingsFinal Step: Select Texturing node, and click compute.

The default Texturing node settings will produce a high quality result, as seen in the screenshot bellow.The problem is, textures take can take lot of space, as this is 43.6 MBTo meet Sketchfabs basic accounts upload limit (50mb), I changed the settings to the following, totaling 23.

9 MB. [EDIT: I originally wrote this thinking the limit was 30 mb, not 50. However its still useful to find ways of minimizing file space while minimizing reducing quality]Texture Downscale: 1 (so it uses the full resolution of the images)Texture Size: 4kUnwrap method: LCSM (which limits to 1 texture map)Best Texturing settings:Downscale: 1 (default is 2)Unwrap: Default (will produce multiple textures)Max number of Images For Fusion: 3 or bellow (the less images per fusion, the sharper the image, but theres a tradeoff if certain areas dont have enough images)Lets do a quick comparison between a few texturing settings.

23.9 MBYoure done! CongratsTo export your textured mesh, right-click on the Texturing node and select Open Folder.

Your Photogrammetry scan is the OBJ, MTL, and all the PNG texture files.Publish your workNow that youre done, you want to do stuff with your Photogrammetry scans right? You can upload to Sketchfab to show off and share, you can import it into Unity or Tiltbrush, and even 3D print it!

23.9 MBPreferable Sketchfab 3D Settings for unlit PhotogrammetryShading: ShadelessVertex Colors: off (typical for Metashape/RealityCapture uploads with colorized verts)Add a Ground Shadow > Baked AO for better framingStraighten model till its straightPick a nice perspective and Save View as the models thumbnail and its starting positionFurther Reading & DocumentationDocumenationMeshroom Documentation Google DocTutorials and TestingSketchfab Meshroom Tutorial for BeginnersPeter Falkingham Small Object PhotogrammetryPeter Falkingham Getting the most out of MeshroomAzad Balabanian is the Director of Photogrammetry at Realities. ioFollow him on Twitter to keep up with all things Drones VR Photogrammetry.

Download the FREE Realities app on SteamExplore the results of our Photogrammetry workflow in beautiful and detailed environments from the around the world in VR.Download from Steam for Oculus Rift / HTC Vive. Follow the Realities.

io TeamThe Realities. io works on the cutting edge of VRPhotogrammetry. Follow us on Twitter RELATED QUESTION What is the best way to study for CA IPCC IT and SM Paper?

As I Got Exemption in IT/SM, the Subject which is Nightmare for mostly 7080% of IPCC Students (EXCEPTIONS are always there ).So I consider myself Eligible to Answer this MOSTLY ASKED QUESTION i.e HOW TO STUDY or PASS IT/SM?

which takes Rounds all around IPCC Students. So Firstly, You have to study from ICAI PM and SM only.Trust me, ICAI PM and SM are BIBLE!

As ICAI Expects TECHNICAL (JARGON) WORDS as written in their book so do write Technical words. But I am not telling you to Write up Exactly as written in ICAI MAT thats not Humanly possible. However, Writing Technical words with your Own sentences Based on your mixture of Concept Clearity and Rattafication will get your job done.

So Here is what you need to Follow:By time of first reading, you should make your Hand Written Summary notes in form of Charts or writing CRUX of that concept including Technical Words and memory techniques tooAt End of 2nd Reading, you will get some hold of Concept clearity then Mug up from your Handwritten Notes using. Your MNEMONICS and keep Revising IT/SM every week 23 chapters Either of IT or SM whichever you like it. But dont keep IT/SM Aside for more than a week.

MANTRA TO SCORE IN IT/SM :CONSISTENT REVISION About Just One Month before Exams, Aim for 45 times complete revision. Trust me, M not kidding on these. With your Handwritten Summary Notes Ready along with 23 times Readings Earlier and if you are giving only group 2 then you are in Better position to Revise Complete IT/SM for like 67 times before the exams as IT/SM is smallest of all.

And Remember to Walk through LATEST RTPs and Do Attend ICAI mock test rounds so as to get used to Exam Environment or you can solve at your home in Exam Condition between 2pm5pm only.As Questions do get repeat of previous 5 Recent attempts so it is important to get your Hands on previous years question papers and last 2 attempts RTP n MTP too.PS: Minimum 4 revisions are needed to pass or Score well and maximum there is no limit( if you are left with only GROUP 2)YOU HAVE TO TURN YOUR HATRED FOR IT/SM INTO LOVE that will do Wonders for you, Trust me on that.

So Wishing you all the Best for MAY 2019!

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TGW aide l'Arabie saoudite à construire un système de numérisation sous le véhicule pour freiner efficacement le terrorisme
TGW aide l'Arabie saoudite à construire un système de numérisation sous le véhicule pour freiner efficacement le terrorisme
Comme nous le savons tous, depuis l'incident du «9.11», le terrorisme est devenu un incident vicieux et violent qui menace le monde. Pendant un certain temps, il est devenu le centre de l'opposition et de l'endiguement dans le monde. La détection d'explosifs et d'armes cachés dans le fond des véhicules et d'autres pièces est devenue de nombreux pays. La tâche importante du déploiement d'un système d'inspection de sécurité à la baïonnette. Le système d'inspection à baïonnette comprend généralement le pays ’S systèmes nationaux de défense et de police avec des systèmes spécialisés de gestion du trafic, et le réseau d'information et l'amarrage entre le système de balayage de sécurité sous le véhicule et le système de contrôle de la circulation est une avancée majeure dans le domaine de la sécurité de la mondialisation de l'information.   TGW se concentre sur le domaine de la reconnaissance des plaques d'immatriculation depuis plus de 20 ans. Selon les besoins de la situation de sécurité mondiale, TGW a choisi de se connecter avec le système de balayage de sécurité sous le véhicule pour aider à la protection de la sécurité des personnes partout dans le monde. Le système intégré de reconnaissance des plaques d'immatriculation et de balayage du fond du véhicule utilise pleinement l'appareil photo ’S technologie de capture et de présentation, combinant efficacement la plaque d'immatriculation enregistrée représentant les informations du véhicule avec la technologie de balayage d'imagerie du fond du véhicule, réalisant la correspondance un à un et la correspondance de temps en temps entre le fond du véhicule et les informations de plaque d'immatriculation. La sortie et le stockage des données permettent aux gestionnaires de surveiller et de consulter les informations sur le véhicule de leurs pairs. En outre, le système ajoute une fonction d'alarme anormale pour permettre au centre de gestion d'enquêter sur les véhicules suspects dans un premier temps, assurant ainsi la sécurité de la ville. En tant que magnat mondial du pétrole, le Royaume d'Arabie saoudite n'attache aucune importance à la sécurité. TGW a aidé le système de police dans une certaine zone de Riyad à déployer un système complet de numérisation du train de roulement et de reconnaissance des plaques d'immatriculation, ce qui a considérablement amélioré la sécurité des véhicules de banlieue entrant dans la principale zone urbaine. Jusqu'à présent, le service de gestion est assez satisfait du fonctionnement du système.
TGW aide l'Arabie saoudite à construire un système de numérisation sous le véhicule pour freiner efficacement le terrorisme
TGW aide l'Arabie saoudite à construire un système de numérisation sous le véhicule pour freiner efficacement le terrorisme
Comme nous le savons tous, depuis l'incident du «9.11», le terrorisme est devenu un incident vicieux et violent qui menace le monde. Pendant un certain temps, il est devenu le centre de l'opposition et de l'endiguement dans le monde. La détection d'explosifs et d'armes cachés dans le fond des véhicules et d'autres pièces est devenue de nombreux pays. La tâche importante du déploiement d'un système d'inspection de sécurité à la baïonnette. Le système d'inspection à baïonnette comprend généralement le pays ’S systèmes nationaux de défense et de police avec des systèmes spécialisés de gestion du trafic, et le réseau d'information et l'amarrage entre le système de balayage de sécurité sous le véhicule et le système de contrôle de la circulation est une avancée majeure dans le domaine de la sécurité de la mondialisation de l'information.   TGW se concentre sur le domaine de la reconnaissance des plaques d'immatriculation depuis plus de 20 ans. Selon les besoins de la situation de sécurité mondiale, TGW a choisi de se connecter avec le système de balayage de sécurité sous le véhicule pour aider à la protection de la sécurité des personnes partout dans le monde. Le système intégré de reconnaissance des plaques d'immatriculation et de balayage du fond du véhicule utilise pleinement l'appareil photo ’S technologie de capture et de présentation, combinant efficacement la plaque d'immatriculation enregistrée représentant les informations du véhicule avec la technologie de balayage d'imagerie du fond du véhicule, réalisant la correspondance un à un et la correspondance de temps en temps entre le fond du véhicule et les informations de plaque d'immatriculation. La sortie et le stockage des données permettent aux gestionnaires de surveiller et de consulter les informations sur le véhicule de leurs pairs. En outre, le système ajoute une fonction d'alarme anormale pour permettre au centre de gestion d'enquêter sur les véhicules suspects dans un premier temps, assurant ainsi la sécurité de la ville. En tant que magnat mondial du pétrole, le Royaume d'Arabie saoudite n'attache aucune importance à la sécurité. TGW a aidé le système de police dans une certaine zone de Riyad à déployer un système complet de numérisation du train de roulement et de reconnaissance des plaques d'immatriculation, ce qui a considérablement amélioré la sécurité des véhicules de banlieue entrant dans la principale zone urbaine. Jusqu'à présent, le service de gestion est assez satisfait du fonctionnement du système.
TGW LPR applicable maintenant pour tous les personnages, même les personnages difficiles mongols
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  En Chine, le 5 mars 2021, après le Nouvel An lunaire d'un demi-mois, la mise à niveau de la division TGW a achevé la production totale des caractères mongols compliqués. Depuis que le gouvernement municipal mongol a installé le premier dispositif de stationnement de reconnaissance de plaque d'immatriculation en 2018, les commentaires des clients ont eu plusieurs personnages complexes avec des résultats de reconnaissance. Pourtant, la sortie de l'affichage n'a pas été atteinte. En deux ans, TGW en Mongolie a progressivement installé 58 projets de stationnement. Les clients continuent de prendre en charge notre algorithme de formation, en fournissant de nombreuses images et des images de cas de projet pour nous permettre de faire des mises à jour de formation.   L'équipement précédent utilisait couramment une puce d'affichage de la bibliothèque de mots d'origine pour la reconnaissance mondiale des plaques d'immatriculation. Il peut identifier la plaque d'immatriculation comme la première étape à réaliser, mais après l'identification peut être sortie. Grâce à l'interaction matérielle, il est affiché sur l'écran LED, qui doit accomplir une autre étape. Le mongol utilisé en mongol a 29 lettres. Basé sur la lettre Hui, la lettre mongole représente la voyelle 5, représentant la consonne 24, l'orthographe en mots de haut en bas du livre, et le texte de gauche à droite. La Mongolie et la Mongolie intérieure ont différentes définitions de dialectes standard: La Mongolie extérieure est le plus authentique des dialectes carkar-mongols situés dans la capitale Oulan-Bator. D'autre part, la Mongolie intérieure prend la langue mongole chahar du drapeau bleu positif au milieu de la région autonome de Mongolie intérieure comme dialecte standard. En outre, le mongol a des dialectes d'autres régions. Par conséquent, la portée de la bibliothèque de mots détermine la plage de texte peut être affichée, après une longue période de préparation et de test, encore et encore, je division finalement en décembre 2020 pour terminer la mise à niveau de toute la bibliothèque de caractères mongole, après plusieurs mois de test, la ligne complète d'utilisation du marché. La bibliothèque de caractères d'origine est difficile à produire pour les personnages. Tous peuvent être affichés et reconnus dans le logiciel. La formation des algorithmes et la garantie de résultat sont un booster pour les projets de reconnaissance des plaques d'immatriculation sur tout le marché mongol. Il y aura plus de solutions et de sociétés d'ingénierie qui continueront d'exploiter les ressources et les besoins locaux. Cette couverture est fournie par Shenzhen TigerWong Technology Co., Ltd., l'un des fournisseurs professionnels et intelligents de solutions de contrôle d'accès, riche inexpérience. Parallèlement, TGW est le seul et unique fabricant au monde à proposer un système LPR dans le parking qui est étonnamment capable d'identifier divers numéros de plaques d'immatriculation de tous les pays. Pour plus d'informations sur TGW, cliquez sur À propos de TGW .
TGW aide l'Arabie saoudite à construire un système de numérisation sous le véhicule pour freiner efficacement le terrorisme
TGW aide l'Arabie saoudite à construire un système de numérisation sous le véhicule pour freiner efficacement le terrorisme
Comme nous le savons tous, depuis l'incident du «9.11», le terrorisme est devenu un incident vicieux et violent qui menace le monde. Pendant un certain temps, il est devenu le centre de l'opposition et de l'endiguement dans le monde. La détection d'explosifs et d'armes cachés dans le fond des véhicules et d'autres pièces est devenue de nombreux pays. La tâche importante du déploiement d'un système d'inspection de sécurité à la baïonnette. Le système d'inspection à baïonnette comprend généralement le pays ’S systèmes nationaux de défense et de police avec des systèmes spécialisés de gestion du trafic, et le réseau d'information et l'amarrage entre le système de balayage de sécurité sous le véhicule et le système de contrôle de la circulation est une avancée majeure dans le domaine de la sécurité de la mondialisation de l'information.   TGW se concentre sur le domaine de la reconnaissance des plaques d'immatriculation depuis plus de 20 ans. Selon les besoins de la situation de sécurité mondiale, TGW a choisi de se connecter avec le système de balayage de sécurité sous le véhicule pour aider à la protection de la sécurité des personnes partout dans le monde. Le système intégré de reconnaissance des plaques d'immatriculation et de balayage du fond du véhicule utilise pleinement l'appareil photo ’S technologie de capture et de présentation, combinant efficacement la plaque d'immatriculation enregistrée représentant les informations du véhicule avec la technologie de balayage d'imagerie du fond du véhicule, réalisant la correspondance un à un et la correspondance de temps en temps entre le fond du véhicule et les informations de plaque d'immatriculation. La sortie et le stockage des données permettent aux gestionnaires de surveiller et de consulter les informations sur le véhicule de leurs pairs. En outre, le système ajoute une fonction d'alarme anormale pour permettre au centre de gestion d'enquêter sur les véhicules suspects dans un premier temps, assurant ainsi la sécurité de la ville. En tant que magnat mondial du pétrole, le Royaume d'Arabie saoudite n'attache aucune importance à la sécurité. TGW a aidé le système de police dans une certaine zone de Riyad à déployer un système complet de numérisation du train de roulement et de reconnaissance des plaques d'immatriculation, ce qui a considérablement amélioré la sécurité des véhicules de banlieue entrant dans la principale zone urbaine. Jusqu'à présent, le service de gestion est assez satisfait du fonctionnement du système.
The Importance of Smart Parking System in Canada
The Importance of Smart Parking System in Canada
Currently, parking has been an issue in the countries. The problem is very basic which us, the population has been increasing day by day, because of which the number of cars has been increasing month by month, due to which the demand for space is rapidly increasing. However, even though everything in on an increasing graph space is still the same and not increasing. It is not just space which is being affected, but the comfort level of people and their time is also stake.Canada as a country has been pretty fast with its smart vertical parking systems in Canada. The country has invested a lot to improve its parking systems by starting the Rotary elevator parking in Canada and automatic car parking system projects.Overview:The smart parking system is considered as a robotic parking solution system which allows the of the parking lot and the operators of the parking lot to increase their parking capacity at a very economical cost at a rapid speed.Advantages of smart parking systems in Canada:Although there are several advantages of adopting a smart parking system, here are some of the core advantages of the same:1. Flexibility and Scalability: The smart parking system is a compact system which is considered as a stand-alone system and is very scalable. Due to this reason, the new units can easily be added and configured as and when required. Even the existing units can be relocated or moved within inside the parking lot.2. 360 Degrees Automatic: The puzzle parking system in Canada and the smart parking system is completely automatic. It reduces the manpower requirement as there is nobody needed to operate it manually. The units in the parking system require very less maintenance, hence a permanent staff is not required at all. This in return also helps in reducing a lot of time which goes on manual operation.3. Quick Car Retrieval: The vertical parking systems in Canada required negligible interaction with the car owners. The interaction only depends on the solution as the car parking is mainly done via the customer card or the access code which is given to the users through a touchpad or the keypad. The parking software hardly gives 90150 seconds to retrieve each car which saves a lot of costs.4. Security and Safety: These smart parking systems are loaded with various technologies such as car stackers in Canada which ensures to take proper safety measures. Once the cars are parked, the cars are then fully protected from all the dust and the various other corrosive factors. The concept of smart packing has significantly helped in the reduction of all the dents and scratches which happen in the conventional parking system.·RELATED QUESTIONCan we ban the term Stacker?According to @Catija, the term is now used by many Stack Overflow employees to refer to themselves:source
Smart Parking System Market Report Delivering Growth Analysis
Smart Parking System Market Report Delivering Growth Analysis
Noida, India, Sept. 7, 2021 (GLOBE NEWSWIRE) -- Globe Newswire -- Smart parking systems are gaining popularity due to the increasing adoption of smart parking systems by various end users such as government and commercial buildings. Cheap government initiatives to develop smart cities and smart parking infrastructure are driving the growth of the global smart parking market. A study by strategic consulting and market research firm Blueweave Consulting shows that the global smart parking market was worth $4.5 billion in 2020 and is expected to reach $17.2 billion by 2027, with a CAGR of 2.12% over the forecast period 2021-2027.In July 2021, the Patna Municipal Corporation of India announced a pilot project to develop 38 intelligent parking systems in the city. Intelligent parking systems are gaining popularity due to the growing number of autonomous vehicles and technological integration, growing concerns about traffic and parking problems and the increasing adoption of the technology by various end-users such as governments and commercial buildings.The global parking management market is experiencing significant technological advances such as the use of integrated mobile apps and software for parking, cashless payment and RFID technology. The increasing growth in vehicle sales and the increasing demand for parking spaces are encouraging immense growth in the market. The market is contributing to the fastest growth of 12.9% over the forecast period 2021-2029.The global parking management market is expected to grow by 10.9% over the forecast years 2021-2029. According to Verified Market Research the global smart parking market was valued at $659 billion in 2020 and is expected to reach $1,674 billion by 2028, representing growth of 12.36% between 2021 and 2028. The increasing demand for parking spaces due to the increase in vehicle production and sales and the global focus on a seamless traffic flow support the immense growth of this market.Rapid urbanization, a steady increase in the number of vehicles and technological advances in the market for intelligent parking solutions are expected to drive the market over the forecast period. The increasing number of cars on the road and the increasing congestion of these vehicles which leads to complex traffic conditions increase the attractiveness of the global smart parking market, while the high penetration of IoT technology is driving the growth of the market. The increasingly adoptable use of smart cars in the future and the constant technological progress should drive the future growth of this market.This Market Intelligence report provides a comprehensive assessment of the global smart parking market, including factors that drive market growth, market barriers, application areas, investment potential, case studies, value chain analysis, future roadmaps, profiles of key market players and strategies. The market for intelligent parking systems for passenger cars in terms of volume (000 million units) and value (millions and billions of dollars), system type (in different regions), components (sensors and technologies) derived from production-based forecasting techniques, market for intelligent parking systems equipped with parking management (in terms of value, millions of dollars), vertical and solution types derived from forecasting techniques based on major solution providers around the world and summarizing their segmental revenues. During the primary research phase, experts were interviewed from related industries, manufacturers and suppliers to understand the current situation and future trends in the market for intelligent parking systems as well as the market for parking management solutions.Data Bridge Market Research Report on the Smart Parking Market provides analysis and insights on various factors that are expected to dominate the forecast period 2021-2028 and highlights their impact and growth. In addition to the current market scenario, the report also contains comprehensive information on future growth opportunities and lucrative opportunities offered by the smart parking market. Market Research Future (MRFR) is a global market research company that prides itself on its services in providing consumers with an accurate and complete analysis of different markets.The primary objective of Market Research Future (MRFR) is to provide customers with high-quality research and granular research. Our market research studies on products, services, technologies, applications, end users, market participants, global, regional and country-specific market segments enable our customers to see more, know more and do more by providing answers to your important questions.There are certain constraints and challenges that confront and hamper market growth. High employment costs, configuration complexity and low Internet penetration rates in developing regions are holding back market growth. This report can help prospective buyers to open up new areas and new sources of income.
IoT Based Smart Parking System Project Using NodeMCU ESP8266 - IoT Design Pro - IoT Projects, Articl
IoT Based Smart Parking System Project Using NodeMCU ESP8266 - IoT Design Pro - IoT Projects, Articl
Imagine you have information on the availability of parking spaces on your phone, but you don't have to roam around to check availability. Nowadays, it can be difficult to find a parking space in busy areas, because there is no system that describes the availability of parking spaces in detail. You can access the availability of parking spaces via the Internet via an IoT-based intelligent parking system.IoT devices include sensors and microcontrollers to locate parking spaces. Smart parking development implies an IoT-based system that transmits data to the web and mobile applications via the free parking spaces.In order to investigate the technology of a smart parking solution, we conducted an internal research project. The basic idea behind Smart Parking is the use of the Internet of Things and ultrasonic sensors so that the available parking spaces in a web application can be displayed.The IoT device consists of an ESP8266 microcontroller and an HC-SR04 distance sensor. The sensor measures the distance and transmits the data to the microcontroller, which is connected via MQTT protocol to AWS IoT services.Two servomotors are used to open and close the door according to the sensor values. The sensor sends the measurements to the cloud and stored them in the AWS IoT shadow of the sensor state. A 6-infrared sensor is mounted in the Arduinoso parking bay and the infrared sensor triggers a command that is sent to the Nodemcu ESP8226 WiFi module and sends a command to Blynk upon request.The IoT-based parking system includes two IR sensors, two servomotors, an ultrasonic sensor and a 16x2 LCD. Nodemcu ESP8266 is the WiFi unit with which we will track parking in the slot and around the world from the module. The ESP8 266 controls and completes the process of transmitting parking availability information to Google Firebase so that the system can monitor the world over the Internet.IR sensors are used to detect objects by sending and receiving IR rays to learn more about them. Two infrared sensors are used at the entrance and exit gates to detect the presence of the car and to open and close the doors.Smart Factory breakdown c. Car breakdown on the road d. Defects on the road (pot holes, water log, etc.). E. Safety i. Intelligent Zebra crossing with special lighting for pedestrians, disabled people, wheelchair users, audio and video cameras to identify blind people and extend the waiting time for blind people c. Locate and close the charging station d. Smart parking in car parks, hospitals, sports and event venues i. Detect break-ins in progress, stream live feed to drone camera, request bandwidth from the closest network entry point if necessary, etc.The IoT platform is used to collect, push and share data with the entire network of connected devices. It works to deliver different types of intelligence data using a variety of sensors.This ongoing process for an entire fleet of Tesla vehicles is getting faster by the day. Let's take a look at some of the most important sensors used in the IoT world.In order to carry out activities such as device discovery, device control, analysis and data acquisition, the use of services is necessary. With this application, the user is able to visualize the information obtained from the monitoring and extract data as it is processed. In many cases, a user can perform actions that he considers appropriate for the situation resulting from the data, and these actions can be performed.It is necessary to transmit and monitor the data in response to the actions of the device. One technique that can be used to analyze the data collected by the sensors and make the irrigation system decisions is fuzzy logic. The data obtained from the various sensors can be treated and their results applied to different actuators.There are two systems, one controls the parking system and the other the gate authentication system. The IR sensors are connected to different pins, which indicate the status of the range as 1 (occupied) and 0 (empty).The Nodemcu control will complete the process of transmitting parking availability and time information to the Adafruit IO and monitor the world with the help of the IO. The data is sent to the cloud so that we have a proper visualization of the data.Two IR sensors are used in the entry and exit doors of Adafruit IO to detect the car before the doors open and close. Two servomotors are inserted at the gates, and when the IR sensor detects the car, it turns 45 degrees with a deceleration of 140 degrees until it returns to its initial position.An example of its application is the role of this sensor in detecting twists and turns, and its applications are crucial for automating manufacturing processes. Thingspeak is an Internet of Things (IoT) platform that allows you to analyze and visualize data in Matlab (order a licence for MathWorks here). It works with Arduino particles, photons, electrons, ESP8266 WiFi modules, Beaglebone, Black Raspberry Pi, mobile web apps (Twitter, Twilio, Matlab) and ends with sensors in Thingspeak.It allows you to perform batch analysis and machine learning in addition to your device data. In this IoT-based tutorial, you will learn how to create an IoT-based parking and slot monitoring system using Arduino, Nodemcu, ESP8266 WiFi module and the Blynk application. These devices can be used to monitor parking meters from anywhere in the world.There are several areas of Smart City and Smart Parking is one of the most popular domains of Smart Cities. The smart parking industry has seen a number of innovations such as Intelligent Parking Management System, Smart Gate Control, Smart Cameras to detect vehicle type, Automatic Number Plate Recognition, Smart Payment Systems, Smart Access Systems and many more.I used the MQTT protocol client library for ESP8 266 (MQTT) to integrate the ESP8266 node into the RED IoT platform, but in this case, I selected PubSubClient library.Nodemcu ESP8266 WiFi Module is an open source Lua - based firmware - development board aimed at IoT-based applications. Sonoff Wemos D1 and NodemuC ESP-01 and ESP-12e use the same ESP866 chip, but there are some differences between them, such as the number of pins and other differences in the firmware installed by NODEMUC (only an ESP@-@ 01 has the appropriate command set installed, no need f -nodemcus ode -m icro -c ontroller nits) open source software and hardware development environment to build an inexpensive system on a chip (SoC) called ESP8 266. The platform supports ESPIFS modules (ESP32, ESP8266, STM32, L4M4, TI CC3220) and offers a range of features that are known to be challenging in the IoT world.
Smart Parking System Market Report Delivering Growth
Smart Parking System Market Report Delivering Growth
According to Verified Market Research, the global Smart Parking market was valued at $6.59 billion in 2020 and is projected to reach $16.74 billion by 2028, a CAGR of 12.36% between 2021 and 2028. Increasing investment in driverless vehicles and increasing government initiatives to build smart cities around the world are expected to create huge growth opportunities for the market. However, high employment costs, configuration complexity and low Internet penetration rates in developing regions are holding back market growth.The Smart Parking Solutions market was valued in 2018 at $5,250 billion and is expected to reach $11,793 billion by 2026, representing a CAGR of 10.66% between 2019 and 2026. The increasing number of cars on the roads and the increasing congestion of these vehicles which leads to complex traffic conditions increase the appeal of the global smart parking market, while the high penetration of the Internet of Things (IoT) technology is driving the market's growth. The increasing adoption of smart cars and the continuing technological advancement should shape the future growth of this market.The smart parking market is expected to grow by $17.46 billion CAGR by 17.85% over the 2021-2028 forecast period. The data bridge Market Research Report on Smart Parking Market provides analysis and insights into various factors expected to dominate during this forecast period and its impact on market growth.The global parking management market is expected to grow by 10.9% between 2021 and 2029. The increasing number of vehicles and major concerns about parking solutions are the main drivers of the growth of the smart parking market.The global parking management market is experiencing significant technological advances such as the use of integrated mobile apps and software for parking, cashless payment and RFID technology. The technological advantages of parking management systems will harness the potential of the Internet of Things. The increasing demand for parking spaces due to increasing vehicle production and sales and the worldwide focus on a seamless traffic flow support the immense growth of the global parking management market.Automated parking systems are growing traction in the market thanks to recent technological and innovative advances in the automotive industry such as cameras, sensors, wireless communication, data analysis, smart parking meters, advanced algorithms and others. Cameras, radars and other sensors are being used in automated vehicles at a considerable pace, which should drive the market in this study. Internet-enabled solutions for modern car parks include security, control and recognition systems as well as automated placement.During the primary research phase, experts from related industries, manufacturers and suppliers were interviewed to understand the current and future trends in the market for intelligent parking systems and solutions for parking management. The market for intelligent parking systems for passenger cars in terms of volume (000 million units) and value (millions and billions of dollars), system type (in different regions), components (sensors and technologies) derived from forecasting techniques based on the production of intelligent parking systems for passenger cars, parking management market (in terms of value in millions of dollars), vertical technology and solution type derived from forecasting technology based on major solution providers around the world and summing up their segmental revenues. The OEM prices for sensors, technologies and components of the Smart Parking System have been verified from primary sources.This market intelligence report provides a comprehensive assessment of the global smart parking market, including factors that drive market growth, market barriers, application areas, investment potential, case studies, value chain analysis, the future roadmap, profiles of key market players and strategies. In addition to the current market scenario, the report also provides comprehensive information on future growth prospects and lucrative opportunities offered by the smart parking market. Smart Parking solutions market report facts.The report provides valuable and actionable insights into the key dynamics affecting the market.Market Research Future (MRFR) is a global market research firm that prides itself on offering complete and accurate analysis of different markets to consumers. His forthcoming report, "Global Smart Parking Systems Market: Trends, Applications, Analysis, Growth and Forecast to 2027" is segmented by car parks, components, end-users and regions. The aim of this research report is to define the market size for different segments by country for the previous year and to forecast the value for the next five years.The MarketWatch news division was not involved in the creation of this content. The primary objective of Market Research Future (MRFR) is to provide customers with high-quality research and granular research. Our market research studies on products, services, technologies, applications, end users, market participants and global, regional and country-specific market segments enable our customers to see more, know more and do more to answer your important questions.According to the Association of European Automobile Manufacturers, Europe is expected to be the largest market over the forecast period with 30.83 million vehicles on the road in Europe in 2018. Europe is expected to be a large market for automated parking systems with the presence of many major players in the region of automated parking systems and the attitude of people in the region towards adapting new technologies and an environmentally friendly environment.Such solutions make it easier to pay per parking thanks to improved ticketing and payment systems. The Cubic Group wants to expand its market presence and is planning to grow its workforce. However, there are certain constraints and challenges that constrain and hamper market growth.
Face Recognition Terminal, Smart Camera
Face Recognition Terminal, Smart Camera
The introduction of face recognition terminalWe should not only apply face detection technology in our apps, but also develop face recognition terminals that can recognize faces.Start with a simple example and gradually build on it.Tips for face recognition terminalA lot of people use face recognition to access their accounts on social networks, but the technology is still in its infancy. Since the technology is not yet mature, there are a lot of limitations and inaccuracies.Most people only know that they should turn on their face recognition terminal if they want to access their accounts. This is not true for every user. They may have different reasons for looking at their social media pages:We can ask them what they are looking for - such as whether they like animals or food? We could follow up to see how many times we've been asked this question by each person we follow up with. If we find out that a certain person has been asked this question more than any other one, this person might be interested in finding out about our products or services andHow to use face recognition terminal?We all know that computer can recognize faces.The specifications of face recognition terminalResearchers have been trying to develop machine learning systems that can recognize faces, which is a relatively easy task. They have been working on face recognition technology for several years and it has not received much attention because the human brain has inherent bias in recognizing faces.The product instructions of face recognition terminalThis section is about the instructions that must be given to the device for it to make use of face recognition.The application of face recognition terminalAn AI face recognition terminal is a tool that allows you to conduct face recognition and type in text on a computer screen. This is much more convenient and useful than typing into a keyboard or using a touchpad.
What Is a Smart Parking System? Functionalities and Benefits
What Is a Smart Parking System? Functionalities and Benefits
A parking system is an automated method for ensuring that parking spaces are available in the most convenient locations. If you are driving, you need to find a parking space in a high traffic area. There is usually not enough time to search for an empty parking space or try to park on the street. There are many options available in finding a parking space that are convenient for the driver, such as valet parking, short-term parking, and long-term parking.What is smart parking system?What is smart parking system? Some parking systems are smart. That is, they're good at determining what cars are going where. Others are not so smart and stop a car that doesn't have a valid ticket from getting into a parking space.The concept of smart parking is not new. However, in the last few years, it has become more common to find this type of parking system in malls and supermarkets.The title says it all, if you know how to drive a car. You've seen them a lot. Not only are they common, they are also becoming more and more prevalent in cities. These smart parking systems are equipped with GPS chips, thus making it easy to locate the location of your car in a massive parking lot.A smart parking system is a parking system which is designed to maximize the efficiency of parking lots. In the U.S, the green parking lot is a common smart parking lot system. In the future, many new smart parking lots will be based on the principle of smart artificial intelligence. What makes a smart parking system? Parking is a big issue in the modern world. Everywhere is busy and it's very difficult to find a parking spot. Parking is also a huge waste of time. So many people have to stand in long queues before they can even get a parking spot. A lot of us are just too lazy to look for a parking spot before leaving the car, so we leave our car in a random place somewhere. What technology do parking systems use?Where do parking lots get their designs from? While researching the topic, I found the link below that you may find interesting.Where would you find the parking lot nearest your house in Singapore? Singapore has put sensors in all the parking areas to help you locate them. The sensors collect the data and send it to your phone. What technology do parking systems use? Much like parking meters, parking ticket payment systems can be very expensive. There are many technologies that could be used to make the process cheaper. Some parking ticket payment systems can be accessed using your smartphone.Parking is a big problem in cities all over the world. Having to battle for a parking space can take the fun out of going out for a night out. Thankfully, smarter parking systems are now making life easier. Smart parking systems take into account how close the space you are about to park in is to another space, or if there is parking in the nearby parking lot. The modern day problem of parking is one that is likely to cause a lot of frustration for many motorists in the future. Smart Parking Systems (SPAS) are the solution to this. SMART PARKING TECHNOLOGYTechnology for parking has made it so much easier to find a parking spot. We no longer have to search for that extra block, we can use a GPS or search the app on our phone to find it. You have probably used this technology in your car and seen the GPS telling you which to pay, but it can be useful to use in your business too.On smart parking days, the automated system automatically generates a permit which will be valid for a period of time before needing to be renewed.SMART PARKING TECHNOLOGY is the technology that helps you pay and park in parking lots. It's an invention that's revolutionizing the way we park and can be a great help when you are stuck driving in the car park.The current smart parking system provides an extra touch of comfort to visitors to our city. It has several advantages over traditional parking systems. Some of the advantages include that it helps to save on space in public car parks, it is easier to install, use and operate and it provides a smoother and quicker parking experience.Our parking system is not just about making sure people park correctly. It also helps avoid unwanted car parking spots and helps make sure that visitors find parking spots they like, that are also safe for their cars. We designed our parking system to support both short and long-term parking and we offer 3 options. As an affiliate of this blog, please ensure you don't plagiarize our content.Don't forget to contact us as it may take some time for us to be able to assist you.
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