Zero Crash Lab Request a pilot audit
AI intersection safety audits

Turn your existing traffic cameras into Vision Zero funding evidence.

AI safety audits for intersections — no new hardware, no surveillance, grant-ready in weeks.

◇ No new hardware◇ No personal data◇ Grant-ready output

[01] The problem

Cities are mandated to eliminate traffic deaths — but can’t afford to study every intersection.

So they guess which ones to fix — and then struggle to justify the spend to council and grant programs. Without evidence, safety dollars chase the loudest complaint instead of the highest risk.

[02] How it works

No new hardware. No new cameras. Just evidence.

01

Use your existing cameras

Point Zero Crash Lab at the traffic and CCTV feeds you already run. Nothing new gets installed.

02

AI detects near-misses & conflicts

The model surfaces conflict patterns and near-miss geometry — the leading indicators that show up long before a crash report does.

03

A grant-ready audit

You get a report that tells you which fix each intersection needs — and the evidence to fund it.

[03] The deliverable

One audit. Three answers your council actually asks.

THE DANGER

Where conflicts cluster, and what kind — turning movements, pedestrian exposure, speed.

THE FIX

The countermeasure the evidence points to — matched to the pattern, not a generic checklist.

THE FUNDING

The expected crash reduction, framed to drop straight into a grant application.

·FLAG: drop the real report screenshot — this is the money shot·

[04] The funding case

The evidence your SS4A and Ontario Road Safety grant applications need.

Reviewers want demonstrated risk and a defensible expected benefit. Zero Crash Lab gives you both — observed conflict evidence paired with published crash-reduction factors, formatted for the application.

Safe Streets and Roads for All (SS4A) Ontario Road Safety programs ·FLAG: confirm exact programs·

[05] Privacy by design

It’s not surveillance. It’s geometry.

Zero Crash Lab analyses how vehicles and people move through a space — not who they are. The objection dies here.

No faces

No facial recognition, ever.

No licence plates

No plate capture or lookup.

No enforcement

Not a ticketing tool. No citations.

Conflict geometry only

No personal data leaves the analysis.

Read the Privacy & Data Handling page ·FLAG: build page·

[06] Why it holds up

Built to satisfy your traffic engineer, not embarrass them.

Recommendations are grounded in published Crash Modification Factors — established, peer-reviewed crash-reduction evidence — and framed for engineering review. We report observed conflicts and known countermeasure effects, not speculative crash predictions.

Published CMF basis Observed conflicts, not predictions Engineering-review ready

[07] See it for yourself

Watch the model read an intersection.

Normal flow

Baseline movement, no conflict.

Near-miss

A conflict the model flags.

Crash

The outcome the pattern predicts.

·FLAG: drop the three real demo videos·

Download a sample audit

See exactly what your council would receive — the danger, the fix, and the funding case for one intersection.

We’ll email the PDF. No spam.

On its way.
Check your inbox for the sample audit. ·FLAG: wire delivery·

[08] How to engage

Start with one intersection. Scale when it earns it.

PILOT AUDIT

A single intersection, fully audited

Prove the model on your own footage and walk away with a grant-ready report — before any long-term commitment.

  • Uses your existing camera feed
  • Danger / fix / funding report
  • Delivered in weeks
Book a pilot
CONTINUOUS MONITORING

Your whole network, watched

Ongoing conflict monitoring across intersections, so you catch emerging risk and keep your evidence current for every funding cycle.

  • Multi-intersection coverage
  • Refreshed evidence each cycle
  • Priority ranking across the network
Request a quote

Pricing scoped per municipality. ·FLAG: confirm model·

[09] Questions

The real questions.

Most existing fixed traffic and CCTV cameras with a usable view of the intersection — no new hardware required. ·FLAG: list supported feeds/resolutions·

We analyse conflict geometry only — no faces, no licence plates, no personal data. Full detail lives on the Privacy & Data Handling page. ·FLAG: state retention & residency·

Findings are grounded in observed conflicts and published Crash Modification Factors, framed for engineering review rather than speculative prediction. ·FLAG: add validation detail·

Most municipalities start with a low-commitment pilot, then fold ongoing monitoring into standard procurement. ·FLAG: confirm vehicles/contract paths·

Zero Crash Lab is a Canadian company. ·FLAG: add founder name, background & credentials·

[10] Book a pilot

Pick one intersection. We’ll show you what your cameras already know.

For small and mid-size municipalities ready to put evidence behind their safety spend.

No new hardware to buy or install
Privacy-safe — conflict geometry only
A report your grant officer can use

We reply within one business day. ·FLAG: SLA·

Request received.

We’ll be in touch within one business day to scope your pilot intersection.