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Mobile Recognizer
Model：AI object recognize
AI object recognize map display
AI object recognize map display
LonRock AI Target Recognizer is an AI edge computing device designed to analyze video feeds from network cameras, identify targets, match target movements, and analyze target trajectories (including counting targets). It is officially named LonRock Recognizer. This product is the mobile version of the recognizer.
The Mobile LonRock Recognizer can also receive real-time latitude and longitude data from an external GPS module, allowing playback with map-based location display for post-analysis and research.
Equipped with an internal shock-resistant storage drive, the Mobile LonRock Recognizer ensures stable operation even in high-vibration environments.
The recognizer supports customizable trajectory analysis (e.g., cross-line counting, path detection, etc.) based on project requirements.
It connects to one network camera at a time via the ONVIF protocol and can simultaneously track over 60 targets.
Key Features:
- AI-Powered Edge Computing – Real-time target recognition and trajectory analysis.
- GPS Integration – Location mapping for playback and review.
- Vibration-Resistant Storage – Reliable performance in mobile/rugged conditions.
- Customizable Analytics – Adjustable tracking logic (e.g., directional counting).
- Low Power Consumption – Energy-efficient (<15W) operation.
- ONVIF Compatibility – Seamless integration with network cameras.