GV-AI Guard uses deep learning technology to learn different classification in a video event, such as human, vehicle, license plate, hard hat, and violations. Within the classification, users can search and filter on many different attributes, including human clothing color, and vehicle type/color. When integrated with GeoVision facial recognition devices, it helps to identify and search millions of
faces in seconds.

Key Features

Human Loitering Detection
Low-Trac Area Safety

 

 

 

Vehicle Loitering Detection
For Trac Management

 

 

 

Intruder Detection
For Building Perimeter Monitoring

 

 

 

Crowd and Social

Distancing Detection

 

 

Mask Detection For

Building/Station Entrance

 

 

 

Hard Hat Detection For

Factory Safety

 

 

Web-Based Remote

Event Search and Playback

 

Face Search

 

Deep Learning LPR

Structure

Smart Search

Users can utilize filters to quickly find recorded footage of interest. Filter options such as vehicle type/vehicle color, clothing color or event type help to speed up the video review process.

Human Detection

Vehicle Detection

PC SPEC

GV-AI Guard Hardware provides a variety of models to choose from, and supports up to 32 channels of surveillance video at the same time, of which 16 channels can be used for AI event analysis.