“From identifying unsafe behaviour to surfacing near-miss situations before they escalate, CVAT is the foundation that makes our safety intelligence possible.”
CVAT for Security & Safety AI
CVAT turns CCTV, site, and onboard camera footage into validated training data for intrusion detection, workplace safety, and incident prevention, trusted by teams like EVI Safety Technology.
Use cases
Turn Every Camera Feed Into Earlier Warnings
Perimeter and intrusion detection
Detect people and vehicles crossing fences and restricted zones.
Construction site safety
Track hard hats, vests, and exclusion zones around heavy equipment.
Maritime and vessel safety
Flag unsafe behaviour and near misses on deck and on the bridge.
Smart city intersections
Count cars, cyclists, and pedestrians at every intersection.
Crowds and public spaces
Gauge crowd density and spot unattended items in transit hubs.
How it Works
Integrate Seamlessly
Start labeling without changing how you work
Connect your camera archive, existing labels, and review stages as they are. Nothing to re-plumb.
Book a demoProjects/site-safety-q3
Search sourcesAdd source
SourceStatus
1s3://cctv-archive/site-02Syncing…
2gs://vessel-cams/fleetSyncing…
3azure://city-cams/intersectionsSyncing…
4labels_v2 · COCO 1.0Syncing…
5Annotation → Validation → AcceptanceSyncing…
6webhook update:job → trainingSyncing…
7incident_taxonomy_v2.pdfSyncing…
Accelerate Validation
Clear labeling backlogs faster
AI pre-labels every frame. Your team or our experts fix what it misses.
Book a demoJobs/Deck cam 3
crew #1
winch #2
crew #3
snap_back_zone #4
crew #5
Ship with Confidence
Catch label errors before they reach training
Every job is scored against ground truth, so only clean data reaches training.
Book a demoTasks/Quality control
Mean annotation quality
98.4%
Target 95%
Honeypots
CVAT is how ML teams ship safety AI.
