Sentinel Vision watches your camera feeds and sensor streams — flagging intrusions, patient distress, and irregular events the moment they happen. No audio. No cloud dependency. No false alarms.
One unified AI pipeline. Three mission-critical applications.
Detect patient falls, unusual movement, or distress events in real time — without recording audio. Fully HIPAA-aligned, privacy-preserving surveillance for ICUs and wards.
Automatically flag intrusions, unauthorized access, and perimeter breaches across multi-camera networks. Alerts are timestamped, scored, and visually annotated for immediate review.
The same detection engine works on ECG, heart rate, temperature, and any time-series signal. Sensor data produces a fixed-dimension vector — identical pipeline, no retraining required.
Upload any silent video or connect a sensor stream. No audio needed, no special hardware required.
Each frame is converted to a visual embedding and scored against a normal baseline using cosine distance.
Frames scoring above mean + 3σ are flagged, annotated, and delivered as a timestamped anomaly log.
A 70-second synthetic surveillance feed. Two intrusions at t=20s and t=45s. Click to run the detector.
Each bar is one frame. Two clear intrusion spikes visible at t=20s and t=45s.
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Pre-computed demo. Upload your own video below to run a live analysis.
MP4 · AVI · MKV · MOV · WEBM · No audio required · Up to 500MB
Drag and drop your video here
or click to browse files
Each bar is one extracted frame. Dark bars indicate anomalies above the threshold.
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Whether it's hospital surveillance, facility security, or sensor anomaly detection — reach out and let's talk about your use case.