Empirical Pre-Crime Vision Models • Sub-Second Edge Actuation

Autonomous Threat
Intervention At The Edge

YMS Security connects directly to your existing CCTV camera streams. Tracking 24-point kinetic pose nodes, weapon draws, and zone intrusions at 30 FPS, our neural agents lock access barriers and dispatch emergency alerts before criminal acts are consummated.

< 120ms
Edge Inference
99.4%
Multi-Threat F1
0.04%
False Alarm Rate
3.8x
Faster Dispatch
YMS 3D EMBLEM SIMULATOR CURSOR INTERACTIVE
AUTHENTIC YMS SHIELD CORE PRECISION: 99.4%
14,200+
Footage Training Hours
480+
Stress Breach Drills Passed
24 Pt
Kinematic Pose Nodes
< 0.8s
Weapon Draw Alert Time
The Conventional Problem

Human Eye Fatigue & Reactive Forensics

Standard video surveillance walls fail because human operators lose over 95% of visual focus after only 22 minutes of watching multiple monitors. By the time operators notice an active intrusion or assault, crimes are completed, leaving authorities with nothing more than video archives for post-incident investigation.

• Typical Emergency Alert Latency: 12 – 25 minutes

• Unmonitored Feed Blindspot Rate: > 90% across multi-camera sites

• Actionable Pre-Crime Prevention Rate: 0% (Purely archival)

The YMS Paradigm

Continuous Neural Watchdog & Sub-Second Actuation

YMS Security equips every camera stream with an edge AI inferencing watchdog. Tracking skeletal articulation, kinetic trajectory, and weapon silhouette geometry at 30 FPS, YMS detects hostile intentions, triggers directional sirens, and activates magnetic door interlocks in under 1.2 seconds.

• Autonomous Detection & Triage: < 120 milliseconds

• Continuous Multi-Camera Watchdog: 24/7/365 with Zero Degradation

• Pre-Crime Actuation: Locks mag-locks & warns security instantly

TECHNICAL SUPERIORITY

Four Pillars of Autonomous Prevention

Engineered to transform dumb CCTV infrastructure into self-defending environments.

🎯

24-Point Kinetic Skeletal Tracking

Extracts joint positions and motion vectors per individual, recognizing aggressive postures, takedowns, and weapon draw actions before contact.

Spatio-Temporal GCN Models

Processes sequences over time rather than static snapshots, distinguishing natural walking, running, or stretching from hostile loitering and assaults.

🖧

Edge-Native Acceleration

Runs locally on industrial edge appliances (NVIDIA Jetson, RTX Ada), consuming zero WAN bandwidth and ensuring operational autonomy during internet drops.

🚨

Sub-Second Physical Actuation

Interfaces directly with physical relays, magnetic locks, strobes, and police dispatch lines to interdict suspects before premises are penetrated.

EMPIRICAL VALIDATION

Proven Field Benchmark Results

Validated across high-stress trials, simulated breaches, and pilot edge installations.

PILOT TRIAL #01 K-12 & UNIVERSITIES

Educational Campuses & Schools

Aggression and brawl identification across courtyard corridors. Identified kinetic physical fights with an average alert latency under 900ms.

Altercation Flag: < 900ms
Curfew Breach Catch: 99.8%
Privacy Standard: Zero Face Retained
PILOT TRIAL #02 COMMERCIAL MALLS

Retail Malls & Superstores

Shoplifting posture and rapid concealment detection in retail aisles, combined with crowd surge monitoring at entry gates.

Concealment Capture: 96.4%
Crowd Panic Surge Lead: 1.8 Seconds
Emergency Exit Tamper: 100% Flagged
PILOT TRIAL #03 CIVIC STREETS

Urban Streets & Municipal Grids

Smart city integration detecting violent pedestrian harassment postures, cornering behaviors, and rapid vehicle impact anomalies.

Street Fight Alert: < 1.4s
Hit-and-Run Tracking: 99.1% Accuracy
Police Dispatch Ping: Instant Telemetry
PILOT TRIAL #04 BANKING HUBS

Banking ATMs & Currency Vaults

Interdicts armed robbery attempts by detecting weapon draws and gas cutters, triggering automated magnetic vault door locks.

Skimmer Install Flag: 100% Intercept
Thermal Torch Warning: < 1.1s
Mag-Lock Lockdown: Under 800ms
PILOT TRIAL #05 TRANSIT STATIONS

Metropolitan Railways & Transit

Monitors passenger safety on platforms, yellow-line boundary infringements, track-fall incidents, and concourse baggage abandonment.

Track-Fall Detection: 98.7% Accuracy
Pre-Incident Lead Time: 4.2 Seconds
Signal Interlock: Automated Ping
PILOT TRIAL #06 SUPPLY YARDS

Freight Yards & Logistics Hubs

Large-scale perimeter surveillance across 120,000 sq.ft yards. Flags nocturnal fence climbing, cargo tampering, and forklift blind spots.

Perimeter Boundary Catch: 100% Rate
Forklift Incident Drop: 64% Reduction
Night Pilferage Intercept: > 80% Drop
INFRASTRUCTURE INTEGRATION

Zero Rip-and-Replace Deployment

Seamlessly overlays on top of current hardware without disrupting ongoing security operations.

01. Universal IP Compatibility

Connects directly to Hikvision, Dahua, Axis, Hanwha, and Bosch IP cameras via native RTSP/ONVIF feeds, decoding video directly at the edge.

02. Zero WAN Bandwidth Drain

Video processing occurs 100% locally on on-premise neural hardware. Only 5-second metadata alert snippets are transmitted when a threat triggers.

03. Strict DPDPA 2023 Compliance

Fully compliant with Indian statutory privacy regulations. Operates without harvesting facial identification databases, focusing purely on kinetic intent.

KNOWLEDGE BASE

Frequently Asked Questions

Detailed technical inquiries on architecture, false positive management, and deployment.

How does YMS Security detect threats before a crime is committed?

YMS utilizes Spatio-Temporal Graph Convolutional Networks (ST-GCN) to evaluate human joint kinetics over time. Rather than relying on simple static object detection, our models recognize the micro-kinetic signatures of concealed weapon retrieval, deliberate stalking dwell patterns, aggressive lunging postures, and forced perimeter bypass within 300 to 1,200 milliseconds.

Will shadows, animals, or blowing foliage trigger false alarms?

No. Unlike legacy motion-detection video analytics, YMS operates using 24-point human skeletal topology. Non-human elements like domestic animals, headlight reflections, raindrops, or waving trees do not match human skeletal graph structures and are suppressed at the edge, maintaining a false positive rate under 0.04%.

Do we need to replace our current security cameras?

No. YMS is completely camera-agnostic. We connect an on-premise YMS Neural Gateway to your local network switch, ingesting existing RTSP or ONVIF streams from your current cameras without requiring any hardware replacement.

How does automated physical actuation work in an active breach?

The YMS Neural Edge Gateway features dry-contact I/O relays. When an actionable threat exceeds the 95% confidence threshold, the gateway sends an instantaneous electrical trigger to energize magnetic door locks, sound high-decibel strobes, and transmit emergency dispatch data to on-site security personnel or local authorities.

Upgrade Your CCTV Network to Proactive AI Defense

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