Search CCTV by what happened
Human action recognition helps WiseVizer detect, classify, and retrieve in-store actions from existing cameras, so retail teams can review only the most relevant clips.
Human action recognition for faster store video review
WiseVizer analyzes video to find and describe important actions in your store. The system extracts short clips, explains what happened, and lets you filter by specific behaviors so your team can focus on what matters.
Hereâs how it works:
- Clips are extracted from store video.
- Each clip is described by the model.
- Teams filter events by actions such as âa person is grabbing an itemâ.
- Only the most relevant clips remain for review.
Action search
Search video using behavior-based queries instead of checking cameras one by one.
Clip descriptions
Each event is translated into short natural-language descriptions for fast review.
Relevant results
Reduce dozens of events to a short list of clips that actually match the action you need.
Search footage moments by specific actions
Natural-language filtering
Type what youâre looking for, such as âa person is grabbing an itemâ or âa person is opening a bagâ. Our system returns matching clips with confidence scores so you can review quickly.
On-device processing
Our AI models run at the edge to keep your data local and secure. This reduces bandwidth, protects privacy, and keeps review workflows fast and reliable.
Live and historical review
Review actions from live streams or past recordings across any area in your store. Jump to the exact moment an action happened and watch the short clip in context.
Human action recognition for faster store video review
WiseVizer analyzes video to find and describe important actions in your store. The system extracts short clips, explains what happened, and lets you filter by specific behaviors so your team can focus on what matters.
Hereâs how it works:
1. Clips are extracted from store video.
2. Each clip is described by the model.
3. Teams filter events by actions such as âa person is grabbing an itemâ.
4. Only the most relevant clips remain for review.
Action search
Search video using behavior-based queries instead of checking cameras one by one.
Clip descriptions
Each event is translated into short natural-language descriptions for fast review.
Relevant results
Reduce dozens of events to a short list of clips that actually match the action you need.
Search footage moments by specific actions
Natural-language filtering
Type what youâre looking for, such as âa person is grabbing an itemâ or âa person is opening a bagâ. Our system returns matching clips with confidence scores so you can review quickly.
Live and historical review
Review actions from live streams or past recordings across any area in your store. Jump to the exact moment an action happened and watch the short clip in context.
What this helps you improve
Understand what happens in video with human action recognition.
Incident & loss prevention
Find and review specific or risky actions faster to investigate incidents and support loss prevention workflows.
Team efficiency
Reduce manual video review so teams can focus on higher-impact tasks and respond faster when relevant events need attention.
Store visibility
Understand recurring behaviors across stores with consistent action data, making it easier to compare locations and spot operational patterns.
Review fewer clips.
Find more relevant events.
Letâs Bring AI to Your Business
For inquiries, demos, or partnerships, reach out to us:
Business Bay Opal Tower, Office 101-03, Dubai, UAE