Front-end intelligence is becoming the second foothold of AI security

In recent years, the amount of data in the security industry has been growing exponentially, and back-end servers need to process more and more data. In order to further improve the data processing effect, more and more companies choose to hand over data to front-end smart cameras for processing.

Intelligent video surveillance systems can be divided into two solutions: front-end and middle-end. The front-end solution is to integrate AI functions such as computer vision and image analysis into the front-end smart camera, directly process the video information, and transmit the analysis results to the middle and back-end servers. The mid- and back-end solution collects information from ordinary cameras and transmits it to the mid- and back-end servers for analysis and summary.

The advantage of the front-end solution is that it can directly collect key information such as faces, license plates, etc., helping customers extract key information from videos and reducing system misses and false positives. At the same time, front-end analysis can reduce the computing pressure on the back-end, allowing the superior computing resources of the back-end to be more concentrated on implementing in-depth analysis work. In addition, the front-end solution does not require remote compression and transmission of video surveillance videos, and can provide higher-definition, high-quality live images to the back-end server. The better imaging effect greatly improves the resource utilization of the back-end and saves central deployment space. To sum up, the same investment in front-end solutions can produce greater effectiveness.

At present, with the blessing of artificial intelligence "magic", front-end intelligent solutions have mastered many skills, such as audio anomaly detection, motion detection, entering/leaving area detection, loitering detection, and people gathering detection. detection, fast motion detection, object/retrieval detection, parking detection, dynamic analysis, etc. For example, a front-end smart camera based on face recognition can identify a target person from thousands of faces, that is, many-to-one or many-to-many recognition, and the recognition application is higher. Currently, intelligent front-end solutions have been applied in many fields, such as intelligent transportation, urban construction, public security and other scenarios where intelligence needs are urgent.

Although the front-end intelligent solution is more "competent" in processing massive data, its high price is also prohibitive. Take Hikvision's "Deep Eyes" series as an example. The average price of its products is around 3,500-5,000 yuan, while the price of traditional network high-definition cameras is basically less than 1,000 yuan. High prices limit the large-scale application and penetration of smart cameras. However, as China's AI chip research and development process accelerates, the price of embedded AI chips suitable for smart cameras is expected to decrease, and the problem of high prices for front-end smart cameras will also be solved. In the long term, it is an inevitable trend to advance intelligence to the front end.

In the future, with the further integration of artificial intelligence technology and the security industry, front-end intelligence will promote the further prosperity of smart security hardware and further expand new application scenarios for security.

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