Real-Time Violence Prevention
Secure your facility lobby, reception, and retail checkout lanes. Detect physical aggression, striking gestures, and posture anomalies instantly using local, private edge pose estimation on existing security cameras.
The Blind Spot of CCTV Auditing
Traditional security networks capture footage but do not trigger early response alerts until physical altercations have already escalated.
Monitoring Fatigue
Guards cannot watch dozens of camera streams concurrently. Aggressive encounters in lobbies or elevators go unnoticed until it is too late to de-escalate.
Biometric Privacy Bans
Facial recognition violates strict corporate privacy rules and public data compliance, leading to union complaints and legal liability.
Expensive Cloud Routing
Streaming 1080p security camera feeds continuously to cloud AI servers consumes excessive bandwidth and exposes video logs to external internet leaks.
How It Works Under the Hood
Real-time video analytics use local edge pose estimation models to analyze joint geometry without identifying individuals.
CCTV Stream Capture
Continuous RTSP video stream capture directly from existing lobby, elevator, or reception cameras.
Skeletal Pose Tracker
A lightweight edge computer vision model maps 17 key skeletal joints, identifying sudden arm raises, lunging postures, or aggressive stances.
Instant Console Alert
Aggression warnings are sent within 500ms to local security panels, triggering pre-escalation interventions.
Want to see this running on your existing camera feeds?
Send us a short 30-second security clip and we will return an analyzed pose landmark overlay report.
Request a Free Detection AnalysisSecuring Your Facilities
Implement proactive security alerts in high-risk zones without compromising individual biometric identities.
ATM Lobbies
Detect aggressive physical gestures or sudden altercations in un-staffed bank teller spaces to alert patrol vans immediately.
Reception Desks
Monitor front reception desks in corporate offices to trigger silent alert panels if dynamic body movements indicate distress.
Retail Checkouts
Identify hostile gestures towards checkout staff in high-volume supermarkets, permitting managers to intervene before situations escalate.
Elevator Security
Flag sudden struggle or physical confinement inside building lifts, triggering immediate audio intercom connection from safety desks.
Structured Pose Metadata
Local Processing
Runs entirely on local edge hardware with zero reliance on cloud streaming.
Detailed Pose Mapping
Identifies 17 joints, allowing gesture tracking without facial verification or individual profiling.
Zero Privacy Exploits
Skeletal coordinates extract no facial parameters or individual metadata, guaranteeing 100% anonymized compliance.
{
"status": "alert_active",
"timestamp": 1783058428,
"camera_id": "lobby_elevator_2",
"detections": [
{
"person_id": 421,
"pose_class": "physical_aggression",
"confidence": 0.941,
"keypoints": {
"right_wrist": [420, 310],
"right_shoulder": [380, 420],
"head": [390, 250]
},
"joint_velocity_score": 8.7
}
]
}
Frequently Asked Questions
Detect Escalations Early. Secure Your Facilities.
Eliminate response bottlenecks. Discuss edge computer vision integrations for your security network.