Security to move toward front-end cameras with comprehensive intelligence to gradually realize intelligent analysis and identification

Xiaowei remembers that when he went to school, the school had a special course to talk about safety and life! In today's life, security systems are everywhere, so let's talk about the security of artificial intelligence applications that are closely related to us today!
In the future, the domestic security market will reach trillions, maintaining rapid and rapid growth. In 2011-2016, the security market maintained double-digit growth for five consecutive years. In 2016, the domestic security market reached more than 500 billion. According to the forecast of the Prospective Industry Research Institute, the size of the domestic security market will reach nearly one trillion by 2022. In 2016, the security equipment market accounted for approximately 900 billion yuan. From the perspective of product form, the video surveillance field is the largest application product in the security industry.
The security industry is moving toward full intelligence. In the past ten years, China's security industry has experienced upgrading from high-definition and networking to intelligentization. Currently, video surveillance cameras produced in China basically implement high-definition video, and can recover, store and analyze video data through the network. The security industry is also moving toward intelligence. With the basic conditions of hardware, algorithms and data basically improved, the security industry is completely intelligent and just around the corner.
In terms of hardware, the front-end cameras are gradually becoming high-definition and widely distributed. At present, the security cameras produced in China are basically high-definition. Security monitoring has been “visible” from the past, and now “see clearly”, thanks to the rapid development of digital high-definition video surveillance technology, and security cameras are widely distributed. At present, the number of cameras per 1,000 people in China's camera density is 59. According to incomplete statistics, the number of cameras in second-tier cities in China is 50,000-100,000; in third-tier cities, it is below 50,000. A wide range of clear cameras provide a data foundation for intelligent security.
In terms of technology, the deep learning algorithm is mature, and the accuracy of image recognition is improved. Deep learning is the most important breakthrough in the field of artificial intelligence in recent years. After the emergence of deep learning, the main recognition methods of computer vision have changed. Machine automatic learning has become the main way of training. The machine automatically summarizes the characteristics of objects from massive data, making The accuracy of recognition has been greatly improved.
In terms of data, security networking enables massive amounts of data to be stored in real time. Digital cameras use digital signal transmission, video transmission without damage, making long-distance transmission, cloud storage becomes possible, and can save massive data; networked monitoring equipment uses cloud storage to transmit real-time images, providing a basis for real-time dynamic analysis. At present, the annotation data used by enterprises to train artificial intelligence mainly comes from third-party databases, and the data accumulated by government agencies over the years is much larger and the annotations are more clear and clear. With the further transparency of government data, the scale of security data It will grow at a faster rate. The security industry can be called the "training ground" of artificial intelligence.
At present, the intelligent security floor products have been able to achieve the following main objectives:
(1) Identify the traits, attributes, and identities of the target
The data directly generated by the security camera is not easy to analyze. At present, the security data can effectively correlate the data of each contracted subsystem through the cloud storage system, collect massive data, and then process the unstructured data of the video, and quickly extract the structure through artificial intelligence. The data is compared with the database to achieve the identification of the target's traits, attributes and identity.
(2) Real-time monitoring of the number and density of targets in the scene
In various crowded places, the intensive degree of human flow is estimated in real time. According to the heat map formed, it is judged whether there are abnormalities such as excessive crowding and confusion, and even if the alarm occurs; in traffic, real-time analysis of urban traffic flow and adjustment of traffic light intervals, Shorten the waiting time of vehicles, improve the traffic efficiency of urban roads, and provide guarantee for the smooth travel of residents.
(3) Event detection and behavior analysis
At present, intelligent security can realize the recognition of target behavior, and can perform perimeter monitoring and abnormal behavior analysis on video. It can be used to detect, classify, track and record past pedestrians, vehicles and other suspicious objects. It can judge whether pedestrians and vehicles are present. There are long-term sputum, stay, retrograde behaviors, etc., in addition to detecting abnormal behavior such as running and fighting.

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3d 316t

3D Wheel Alignment With Stand Column

3D Wheel Alignment With Stand Column

Shenzhen Sucvary Tech Co., Ltd. , https://www.syalignment.com