Rassed

Intersections are complex. Now cities can understand them.

Real‑time behavioral detection. Congestion intelligence. Movement mapping. All running on the edge, on cameras you already own.

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Rassed intersection analytics
Real‑time edge intelligence
What It Detects

Every critical event. Every intersection.

Near‑Miss Detection
Rassed identifies near‑miss events between vehicles, pedestrians, and cyclists in real time — the moments that predict accidents before they happen. Each event is logged, timestamped, and surfaced to your team immediately.
Turn Movement Intelligence
Understand exactly how vehicles, cyclists, and pedestrians navigate your intersections. Rassed maps directional movements, identifies unusual patterns, and gives traffic engineers the behavioral data they need to optimize signal timing, lane configuration, and safety infrastructure.
Congestion Analytics
Real‑time measurement of queue formation, delay patterns, and Level of Service across every approach at an intersection. Go beyond vehicle counts — understand the dynamics of congestion as it builds.
How It's Delivered

The data your team needs, in the format it works in.

Dashboard

A real‑time web dashboard giving your team continuous visibility into intersection behavior across your network.

API Access

Full API integration for embedding Rassed data into your existing traffic management systems, GIS platforms, or reporting tools.

Real‑time Alerts

Instant notifications when near‑miss events, congestion thresholds, or defined behavioral anomalies are detected.

Cloud Access (Optional)

For teams that need flexible remote access, Rassed supports cloud connectivity alongside its edge‑first architecture.

Structured Reports

Automated periodic reporting for Vision Zero programs, stakeholder communication, and program review.

Edge computing architecture
Processed on the device
The Edge Difference

Why 'on the edge' matters for cities.

When video processing happens in the cloud, data travels. That travel takes time, consumes bandwidth, and raises legitimate privacy questions about footage leaving city infrastructure. Rassed processes everything on the device — at the intersection, in real time. Cities get faster detection, lower operational costs, and full control over where their data lives.

Federated learning allows our models to improve across deployments without sharing raw footage or sensitive location data between municipalities. Each city's data stays within its own infrastructure. The intelligence it generates makes the entire network smarter — for everyone.

Hardware agnostic
Works with any camera
Hardware Agnostic

No rip‑and‑replace. No new procurement.

Rassed is hardware agnostic. Whether your city uses legacy CCTV systems or modern IP cameras, Canny Vision integrates with your existing infrastructure. No new hardware mandated. No replacement projects. Deploy intelligence at the intersections that need it most — on the cameras already watching them.

Active Deployments

Currently active in Downtown Ottawa and Toronto.

Rassed is already deployed and delivering real‑time behavioral intelligence in two Canadian cities. We're actively expanding across North America.

Toronto
🇨🇦 Toronto
Ottawa
🇨🇦 Ottawa