AI edge computing box is an intelligent analysis device developed based on visual analysis algorithm technology, which loads AI algorithms for the camera to realize automatic monitoring, intelligent recording and alarm of people, vehicles, objects and events in communities, parks, campuses, enterprises and institutions, etc., so that each place can change from passive monitoring to active defense in the face of potential security events, and improve the comprehensive security management level of the place.
1. Stable operation, fast and efficient
Embedded Linux system, strong stability. The analysis efficiency is high, and the response time of intelligent analysis is 1Within 5 seconds.
2. Simple deployment and rich functions
Visualized interface configuration for rapid application deployment. It supports a full set of business capabilities for face detection, behavior analysis, machine analysis, and people counting.
3. One-click access and flexible configuration
It supports simultaneous access to multiple 1080p high-definition streams, and supports setting model thresholds and skill parameters.
4. Edge computing, intensive reuse of the old
Adopting the design idea of edge computing architecture, it is suitable for a wide range of scenarios, which is convenient for system expansion and camera reuse projects.
5. Continuous optimization and strong scalability
The algorithm and application software are fully independently developed, the professional team has long-term iteration, and the scene algorithm supports customization and optimization.
The AI edge computing box intelligently analyzes the ** stream, extracts the attributes and behaviors of people, items, and vehicles in the **, conducts labeled analysis, alarms abnormal behaviors, and prevents potential risks, so as to save and efficiently deploy on the edge side, so that the camera can be seen, seen, understood, and traced.