Computer Vision for Parking Enforcement

The problem

Traditional parking enforcement relies on people walking or driving the streets, checking every car by eye, writing down plates and photographing evidence by hand. It’s slow and tiring, and the records are easy to get wrong and hard to defend when a fine is challenged.

What we built

We took Infract from research to a launched product: an iOS app that rides along in a mounted phone, plus a web dashboard where a team reviews what it finds.

• Capture without stopping. The phone records the drive. One tap marks a moment, and Infract saves a verified 30-second clip around it: ten seconds before, twenty after. Recording keeps going.
• Computer vision does the looking. Infract detects vehicles in frame, reads licence plates and flags more than 20 kinds of curb, parking and safety violations.
• Uploads that look after themselves. Clips queue on the phone and upload over Wi-Fi, even when it’s locked, so nothing goes missing between shifts.

People make the call

Technology assists, the team decides. Every capture lands in a review queue, in English or Spanish, where a person checks the vehicle, the plate frame and the footage before anything is confirmed. Reports then show where cases cluster across the city, so the team can plan routes around the hotspots.

Where it is now

We launched v1 and secured a real-world pilot in El Hatillo, Venezuela, where it’s running on real streets today.

Why it matters for your business

Swap “parking officer” for “site inspector”, “warehouse team” or “field engineer” and the pattern is the same: people doing repetitive visual checks and paperwork. AI can do the looking and the logging, so your team can focus on the decisions.