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TGW is professinal on design and solution for parking management system

Artificial Intelligence Parking System Finally Ushers in the Moment of Landing Practice - Tigerwong

Academically adhere to the top level of international parking lot system; Second, let the scientific research effect not only stay in the research and laboratory stage, hope to be closer to the society and ordinary people's life, and apply the top technology to practice. Today, koala Youran team, which focuses on the field of artificial intelligence, has completed a ten million pre-A round of financing in July and has begun to enter the next round of financing process. In the future, teams with world-class technologies such as koala Youran are expected to really show their strength in the field of artificial intelligence and change their lifestyles. Although it has experienced nearly 70 years of development, since the concept of artificial intelligence was established at the Dartmouth conference in the 1950s. Today, mankind still seems to be unable to get rid of the confusion about artificial intelligence: is it to serve as a helper in the future of mankind, or a murderer who replaces human labor and controls human behavior? Since it was formally defined in 1956, it is about the development history of artificial intelligence. It's been through 70 years.

Artificial Intelligence Parking System Finally Ushers in the Moment of Landing Practice - Tigerwong 1

Indeed, human research on artificial intelligence has remained at the laboratory stage for a long time. It is like a baby waiting to grow up and an unattainable Pavilion: it exists but is far away. Artificial intelligence seems to have just begun to usher in the era of its explosion, until the deep learning artificial intelligence system alpha dog (alphago won the battle against South Korean chess king Li Shiyu in 2016. It may be the mouth of a strong wind. It has been a trend in the security industry for 70 years. The application of artificial intelligence and deep learning technology has become an industry trend.

At the same time, since a large number of CV start-ups began to flow into the security market in 2012, national policies such as Skynet project and Xueliang project have promoted the development of AI security industry as a whole If capital injection and government support are only external driving forces for the parking lot system, the strong demand for intelligence in the security industry itself makes it the core internal force of the first choice for the landing of domestic AI enterprises. It was still 2016. Since then, the concept of intelligent security has been widely mentioned by the media, industry and capital. AI technology has been landing on a large scale in the security market And applications, the application scenarios have also been greatly expanded, from the initial focus on public security, transportation, banking and other businesses to other industries. To some extent, it can be said that artificial intelligence has promoted the evolution and innovation of the radical security industry. In addition to bringing great speed and convenience to people's life, the decade of the sudden growth of the Internet has brought a lot of opportunities Image information and security risks. Radical security is struggling to deal with, not only the recognition accuracy and efficiency are far from enough, but also its applicable fields are very limited.

It can no longer fully meet people's needs for security accuracy, wide level and efficiency. It has been implemented to the needs of real products from the beginning. According to the speech on the development of artificial intelligence of EURONET, along with AI technology As the three elements of AI security development, algorithm, computing power and data are mainly reflected in video structure (recognition and extraction of video data), biometrics (fingerprint recognition, face recognition, etc.) and object feature recognition (license plate recognition system) In the foreseeable next few years, the security industry will be transformed and upgraded to large-scale, automatic and intelligent. Active applications and advance warning will gradually become popular; intelligent applications such as face recognition, abnormal behavior analysis, number counting and audio detection clearly show that security will move from post verification to advance warning, and intelligent technology will be improved from time to time. These applications can have many advantages Effectively prevent the occurrence of various events, and comprehensively improve the efficiency and quality of post disposal. Security has stepped into a new era of intelligence from the radical model, and the post retroactive "civil air defense" has been upgraded to "real-time supervision" And prevention in advance, which has greatly improved the safety attribute of Chinese cities.

According to the safety value of numbeo security, the introduction and use of AI in the field of security has achieved "visible to the naked eye" China's crime index dropped from 41.75 in 2015 to 33.90 in 2017, at the same level as developed countries such as Canada and Germany, and ahead of large countries with the same land area as the United States and Russia. The industry threshold is high, and entry is high-end players. However, it can not be ignored that at present, the industry entry threshold in this field is still very high, even if the future of artificial intelligence looks promising The film is very good. Almost all teams are hatched from the teaching and Research Department of a well-known university or led by a well-known professor. In Beijing, Shangtang technology team, a representative AI enterprise in China, hatched from the teaching and research team of the Chinese University of Hong Kong led by Dr. Tang Xiaoou.

Artificial Intelligence Parking System Finally Ushers in the Moment of Landing Practice - Tigerwong 2

In Chengdu, the koala leisurely team led by Professor Shen hengtao also carries out "multimodal identification" with the world's advanced technology - through the cutting-edge research in the fields of multimedia retrieval, artificial intelligence, computer vision, virtual reality, big data, etc., to realize the rapid acquisition, management, indexing, search, identification, cognition, visualization, etc. of big media data, so as to obtain the great value of big media data. He is also the dean and professor of the school of computer science of University of Electronic Science and technology, and is worth mentioning In addition to the founder of Koala leisurely team and the lifelong honorary professor of the University of Queensland, Australia, it was only in 2016 that the competition for AI related talents began. In fact, the most exaggerated time was due to the high threshold for practitioners in the AI industry and the scarcity of their own professionals. Fresh graduates can easily get an annual salary of more than 500000 yuan. This is very important to the salary For the relatively high-level Internet industry, it can still be called an "exaggerated offer" Of course, having high-end technical talents in the nuclear parking lot system does not necessarily mean that it can grow into a unicorn player in the industry.

A team that can go higher and farther always has some special attributes or characteristics. What about rapid growth? According to Professor Shen hengtao of Koala leisurely team, what kind of team talents are more likely to be favored by capital. For AI start-ups "Ai talents need long-term training and accumulation and in-depth research ability." He entered the field of artificial intelligence with some lucky chance and academic certainty. As early as 1999, Shen hengtao, who had just been established by Google, entered the field of image retrieval and recognition to study his undergraduate thesis on Internet image search. For Shen hengtao, he has been leading the very cutting-edge image search and data management at that time during his PhD Domain.

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