Case Study
The Northgate Incident
An unprovoked shove sent a commuter onto active tracks, a tragic flashpoint in a year that has seen rising platform-side violence across the Link network.
PROVEN EDGE-AI FOR PUBLIC SAFETY
Real-time risk detection for open transit platforms.
Empowering transit operators with instant, intelligent video analytics. Detect track-side anomalies and platform hazards the moment they occur — minimizing response times when seconds matter most.
- <100ms
- Edge Inference Latency
- 24/7
- Coverage
- 90+
- Deployments Worldwide
Live · 4 cameras
Proximity Alert12:04
Camera 12 · Platform 2
Operator review requiredReview
The Seattle Crisis
Open platforms. Exposed riders.
Seattle's transit system was designed for accessibility, not adversaries. The vulnerabilities are structural, and they cost lives.
Trend
Unprovoked Shoving on the Rise
Sound Transit and Seattle PD report a sharp uptick in random platform assaults. Riders feel exposed standing inches from oncoming trains.
Infrastructure
Why Physical Barriers Fail
Platform Screen Doors cost millions per station and physically can't be retrofitted onto Seattle's low-floor, mixed light-rail platforms. Most systems will never get them.
How it works
From camera feed to operator review.
- STEP 01
Existing camera feed
Connect to approved IP cameras without replacing platform infrastructure.
- STEP 02
Edge event detection
Detect track intrusion, falls, smoke, crowding, and escalation patterns close to the source.
- STEP 03
Operator review
Send prioritized alerts to the control room with camera context and event history.
- STEP 04
Dispatch or log
Escalate to field teams, mark false positives, and retain an auditable event record.
MULTI-MODULE ARCHITECTURE
One unified platform. Extensible safety modules.
While optimized for transit platform safety, Ciphermark's core edge-AI engine is built on a versatile framework operationally validated across diverse municipal environments.
Intrusions & Perimeter Crossings
Instantly detects passengers crossing safety yellow lines or entering track-side danger zones. Triggers immediate, low-latency alerts directly to local station operators.
TRANSIT OPTIMIZED
Station Anomalies & Slip-and-Falls
Identifies sudden rider down events, crowd bottlenecks, or stationary hazards on platforms and concourses, accelerating emergency response deployment.
TRANSIT OPTIMIZED
Early Smoke & Fire Detection
Leverages our proven municipal vision models to identify early-stage smoke, localized fires, or hillside brush threats adjacent to open-air tracks and right-of-ways.
MUNICIPAL MODULE
Perimeter Breach & Dumping
Secures remote substations, rail yards, and right-of-way fences against unauthorized trespass, vandalism, and illegal dumping outside of active passenger stations.
MUNICIPAL MODULE
Helpful Features
Illegal Dumping
Automated detection & evidence capture
Smoke Detection
Early wildfire & smoke alerts
Technical Edge
Engineered for the millisecond.
Every architectural decision reduces the time between event and action.
- 01 · Performance
Ultra-Low Latency Edge Processing
Inference runs frame-by-frame at the camera edge. No round-trips, no buffer; alerts fire the moment behavior crosses threshold.
- 02 · Deployment
Infrastructure Agnostic
Deploy in your secure cloud, on-premise behind agency firewalls, or hybrid. Works with existing IP cameras, no rip-and-replace.
- 03 · Reliability
24/7 Continuous Coverage
Always-on monitoring with redundant pipelines and self-healing services, designed for uninterrupted public-safety operations.
Trustworthy
Proven across 90+ Korean local governments.
Extensively deployed to secure public spaces across 90+ Korean local governments - now bringing a proven, field-tested edge-AI framework to U.S. transit infrastructure.
90+
Local Governments
24/7
Monitoring
Partner with Ciphermark.
Learn how we are adapting our proven municipal AI framework for U.S. transit pilots.