City Municipality (400,000+ residents)
An AI-driven vehicle and personnel recognition system that automates gate access across all municipal facilities — eliminating the need for access cards, key fobs, and on-site security guards. The system makes entry decisions in just 1.2 seconds.
The Challenge
A city municipality serving over 400,000 residents operated dozens of municipal yards, depots, and facilities across the city. Access control relied on a patchwork of physical key cards, barrier gates with manual controls, and on-site security personnel. Employees frequently lost or forgot their cards, creating delays and security gaps. Hiring security guards for every facility was expensive, and the system couldn't reliably distinguish between authorized and unauthorized vehicles — leading to both bottlenecks and vulnerabilities.
Our Solution
We developed an AI-powered recognition system that identifies both municipal employees and authorized vehicles in real time using computer vision. High-resolution cameras at every gate capture and analyze incoming vehicles and personnel, cross-referencing them against a continuously updated municipal database. The system makes an allow-or-deny decision in just 1.2 seconds — faster than any human guard or card reader — and automatically opens or keeps the barrier closed. No cards, no fobs, no guards needed.
Results
- 1.2-second decision time — faster than any card-based or manual system
- Eliminated the need for physical access cards and key fobs entirely
- Removed the requirement for on-site security guards at facility gates
- Zero delay from lost, forgotten, or malfunctioning access cards
- Real-time logging of every entry and denial for full audit trail
- Seamless scaling across all municipal depots, yards, and facilities
The system decides faster than you can tap a card — 1.2 seconds from camera capture to gate action, with zero human involvement.
Technologies Used
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