(1) System Overview The QiankVision video structured big data platform adopts independent intellectual property rights deep learning algorithm and advanced big data technology to simultaneously structure and retrieve mass surveillance cameras, virtual bayonet, and human face video. . The system uses high-density intelligent servers, which have high throughput, small footprint, seamless overlay, and smooth capacity expansion. A single cabinet can handle 480 HD video. It can be deployed separately to meet the applications of tagging and searching of massive videos, and can also be used as a core part of video intelligence processing in smart cities, safe cities, three-dimensional public security prevention and control, and triple play and other projects.
The platform is designed for all massive video surveillance application scenarios, enabling intelligent retrieval of video pictures, vehicle big data applications, big data applications for mobile applications, face big data applications, etc., to solve the storage costs brought about by massive video surveillance, video retrieval, and analysis. Deep application challenges.
(B) System Features 1. Accuracy Pedestrian auto two rounds and three rounds to distinguish the correct rate and human type search on the home page the correct rate is very high.
2. Rapidity A 4U device can handle the structuring of the 40-car target structure of the 160-slot bayonet vehicle.
3, comprehensiveness can classify the activities of the target, the structure of the pedestrian, cyclist, face, car features.
4. Efficient Single equipment is a complete system with the functions of structure, management, and query, and plug and play.
5, intelligence based on deep learning video intelligent analysis technology.
6, practical close to * actual business process design.
(III) System Architecture
(four) core functions
Vibrating Sieve
Sieve Shaker,Vibrating Sieve,Circular Vibratory Screeners Separators,Vibrating Screener
Xinxiang Zhenying Mechanical Equipment Co., Ltd , https://www.beltconveyor.nl
