AI safety audits for intersections — no new hardware, no surveillance, grant-ready in weeks.
[01] The problem
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
Point Zero Crash Lab at the traffic and CCTV feeds you already run. Nothing new gets installed.
The model surfaces conflict patterns and near-miss geometry — the leading indicators that show up long before a crash report does.
You get a report that tells you which fix each intersection needs — and the evidence to fund it.
[03] The deliverable
Where conflicts cluster, and what kind — turning movements, pedestrian exposure, speed.
The countermeasure the evidence points to — matched to the pattern, not a generic checklist.
The expected crash reduction, framed to drop straight into a grant application.
[04] The funding case
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.
[05] Privacy by design
Zero Crash Lab analyses how vehicles and people move through a space — not who they are. The objection dies here.
No facial recognition, ever.
No plate capture or lookup.
Not a ticketing tool. No citations.
No personal data leaves the analysis.
[06] Why it holds up
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.
[07] See it for yourself
Baseline movement, no conflict.
A conflict the model flags.
The outcome the pattern predicts.
·FLAG: drop the three real demo videos·
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.
[08] How to engage
Prove the model on your own footage and walk away with a grant-ready report — before any long-term commitment.
Ongoing conflict monitoring across intersections, so you catch emerging risk and keep your evidence current for every funding cycle.
Pricing scoped per municipality. ·FLAG: confirm model·
[09] 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
For small and mid-size municipalities ready to put evidence behind their safety spend.
We’ll be in touch within one business day to scope your pilot intersection.