In the early stages of the gradual landing of artificial intelligence based on deep learning, the security industry has become the earliest touchstone. Major computer vision technology companies have targeted their businesses in the security industry, and the traditional security giants are not far behind, and they all place artificial intelligence at the next stage of research and development.
First, the security industry has the most complete intelligent basis
As we all know, the three major elements of artificial intelligence in the industry are big data, computing power, and algorithms. As computing power becomes transparent and computer vision algorithms tend to mature, the bottleneck of the application of artificial intelligence in the industry mainly comes from the existence of massive data.
The networked and high-definition transformation of the security field before the wave of artificial intelligence precisely compensates for this gap and brings great convenience to the smooth application of artificial intelligence.
In today's artificial intelligence technology, algorithms for a certain domain can be distinguished by a hot start (with a large number of structured data bases) and a cold start (without a large amount of structured data). Artificial intelligence in the field of security mainly focuses on the analysis and recognition of people, vehicles, and behaviors. Artificial intelligence analysis on humans mainly includes face recognition and pedestrian recognition. Different target requirements have different recognition algorithms, and they also need different data support. .
Fortunately, these face, behavior, and vehicle data are exactly what the public database in the field of computer vision can satisfy. That is to say, there is no barrier to technological start-up in the field of security, and there is already massive data in the industry. After structured labeling, there is an influx of new data that is more adaptable to the application scenario, providing a basis for the improvement of the artificial intelligence algorithm in the security industry.
Second, the security industry has the demand for massive data processing
With the improvement of people's security requirements and the efforts of governments at all levels to vigorously promote the construction of a “safe cityâ€, the number of Chinese surveillance cameras is increasing year by year. Due to the future of risk society, this data will only continue to grow. From the perspective of the number of urban surveillance cameras owned by thousands of people, the highest density of deployment in Beijing is that of 59 cameras per 1,000 people. The coverage of surveillance cameras in second- and third-tier cities is relatively low. Compared with the United Kingdom and the United States, China’s surveillance cameras will also be found There is an incremental market.
In video surveillance, due to the increasing popularity of high-definition cameras and the progress of networking, the amount of data in the entire security monitoring field is exploding. Therefore, it is becoming more and more difficult to analyze and process such information manually, and it has been impossible to simply use human-sea tactics for retrieval and analysis.
In addition, traditional video surveillance only provides simple functions such as video capture, storage, and playback. It is used to record what happened and it is difficult to play an early warning and alarm role. To ensure that abnormal behaviors are monitored in real time and effective measures are taken in a timely manner, monitoring personnel need to constantly monitor videos. Today, as the amount of video surveillance data increases rapidly, this approach becomes increasingly impossible.
No one industry can, like the security industry, have the most perfect foundation and strongest appeal for artificial intelligence.
Third, the intelligent transformation of the security industry has begun to bear fruit
In the past few years, the security, public security, government, and transportation industries have begun to actively use the new generation of smart security products.
The urgent needs of the public security industry users are the clues of criminal suspects found in massive amounts of video information. Artificial intelligence has natural advantages in feature extraction and content understanding of video content. Xu Bing, the co-founder of Shang Tang Technology, once introduced to Yiu Ou. Currently, Shang Tang’s face recognition technology has been launched and piloted in more than 20 provinces and cities. More than 500 cases have been successfully assisted in the police’s capture of fugitives.
Massive city-level information is aggregated, and with the use of powerful computational capabilities and intelligent analysis capabilities, artificial intelligence can provide real-time analysis of offender information, give clue suggestions, lock the suspect's trajectory to the fastest, and provide clues for solving crimes. . On the eve of 2016, Shenzhen Yuntian Lifei passed the personnel positioning technology to help the Longgang District Public Security Bureau crack down on a trafficking incident within 24 hours and rescued the abducted children.
In June 2016, the National Development and Reform Commission, the Ministry of Science and Technology, the Ministry of Industry and Information Technology and the Central Network Information Office jointly issued the "Internet + Artificial Intelligence Three-year Action Plan" to accelerate the development of the artificial intelligence industry. Which also clearly put forward requirements for the application of artificial intelligence in the security industry.
Implement intelligent security promotion projects, encourage security companies to cooperate with Internet companies, develop intelligent security products integrating image and video precise identification, biometric identification, code recognition, and other technologies, and promote intelligent, intensive, and networked security products. . Support the research and development and achievement transformation of intelligent awareness technologies for natural disasters, industrial safety, and natural disasters such as fires, harmful gases, earthquakes, and epidemics, and promote the deployment of smart security solutions. Support some qualified communities or cities to carry out demonstrations of public security areas based on artificial intelligence, and accelerate the intelligent transformation and upgrading of security equipment in key public areas.
In the security industry, it has to be said that artificial intelligence has become a new competitive growth point. Hikvision United Nvidia launched a series of deep learning video analysis technology products, and established the Hai Kang Research Institute to specialize in the field of video analytics; UOB shares the "video +" as the direction of force and artificial intelligence as the four largest UOBs. One of the contents of the level of innovation; Yushi Technology starts from the server and introduces a new generation of high-capacity distributed video analytics processor to achieve technology accumulation in the field of artificial intelligence; and Dongfang.com is intent on Shangtang Technology, aiming to create video interconnection. "strongest brain".
Artificial intelligence is undoubtedly the focus of the current security field, but also the future of security technology. If you are in the security industry, you must have a certain understanding of the artificial intelligence technology, and accept the changes that it brings.
Panasonic nozzles are used to pick up components from Panasonic SMT feeders and mounting it to pcb. This SMT nozzle is specially designed and compatible to Panasonic pick and place machines. Panasonic nozzles have different types for different Panasonic SMT machine series. The types of Panasonic nozzles include nozzles for CM602 nozzle,NPM nozzle,KME nozzle,BM nozzle ect. For more information about Panasonic nozzles, kindly visit our official website or contact us.
Panasonic Nozzle,Cm Type Nozzle ,Panasonic Bm Type Nozzle,Panasonic Smt Bm Nozzle
Shenzhen Keith Electronic Equipment Co., Ltd. , https://www.aismtks.com