Face Recognition
Multi-platform, multi-device face recognition technology is researched and developed by EYEFIRE, with high accuracy and fast speed.
Multi-device, multi-platform: Can detect on the server, on edge-device (AI Hub), or on mobile devices (mobile, tablet, devices) running iOS, Android operating systems
More than 99% accuracy
Recognition speed less than 1s
Only one sample image needed
Face anti-spoofing
Easy integrate with existing applications and systems
Video Motion Detection
Motion detection technology in videos or camera stream in a selected area
People Motion Detection
Object Motion Detection
Line Crossing Detection
Line crossing technology with high accuracy, real-time, application for counting people, virtual fence, intrusion detection in restricted areas
People Counting
Object Line Crossing Detection
Object Enter Area Detection
Anomaly Behavior Detection
The technology detects abnormal behavior through video analysis, camera stream
Fighting Detection
Abnormal Shopping Detection
Slip & Fall Detection
AIoT Camera Solutions
Turn regular cameras into AI cameras, centralized data viewing and storage.
Live View, Recording
Face Recognition
Line Crossing Detection
Intrusion Detection
Anomaly Behavior Detection
Missing Object Detection
Smoke Detection
Heat Map
Traffic Monitoring
Vehicle Detection
Identify and classify traffic vehicles, detect violations, accidents, traffic incidents
Vehicle Detection
Vehicle Classification
Automatic License Plate Recognition
Vehicle Counting
Wrong Derection
Accident Detection