The transportation bureau of a southern East Asian city faced a growing challenge: how to improve road safety and reduce traffic violations at high-risk intersections. Traditional enforcement methods were reactive and resource-intensive, often missing critical moments that could prevent accidents.
Gorilla Technology delivered a tailored AI-powered traffic management solution. By combining real-time video analytics, license plate recognition, and centralized monitoring, the city gained a proactive system that not only detected violations but also enabled immediate response. This led to a measurable drop in dangerous driving behaviors.
Case Studies
The Challenge
01
Urban Growth, Rising Risk
As the city’s roads grew busier, so did the risks. Red light running, illegal U-turns, and stop line violations were becoming more frequent, putting pedestrians and drivers in danger. Manual enforcement couldn’t keep up, and the city needed a smarter, scalable solution.
02
A Need for Real-Time Enforcement
The city required a system that could detect violations as they happened, alert authorities instantly, and provide reliable evidence for follow-up. The goal: reduce accidents, improve compliance, and make intersections safer for everyone.
Case Studies
Our Solution
AI-Powered Video Analytics
Gorilla deployed advanced video analytics at key intersections to detect traffic violations in real time. The system identified red light runners, stop line breaches, and illegal U-turns with high accuracy.
License Plate Recognition & Alerts
Integrated license plate recognition enabled the system to instantly identify offending vehicles. Real-time alerts were sent to law enforcement and, where applicable, to drivers. This effectively turned enforcement from reactive to proactive.
Unified Management Platform
All data was centralized in a single, easy-to-use platform. Authorities could review incidents, generate reports, and monitor trends from one dashboard, improving operational efficiency and decision-making.
Case Studies
Results & Impact
Fewer Violations, Safer Roads
The city saw a clear reduction in red light violations, illegal U-turns, and stop line offenses. The AI system not only enforced rules but also encouraged better driving behavior through its visible presence and swift response.
Smarter Enforcement
With real-time alerts and centralized data, law enforcement could act faster and more effectively. The system also reduced the need for constant on-site monitoring, freeing up resources for other priorities.
Case Studies
Key Takeaways
Real-time detection of traffic violations improved enforcement speed and accuracy.
License plate recognition enabled immediate identification of offenders.
Centralized platform streamlined monitoring and reporting.
Reduced violations led to safer intersections and better driver behavior.
Scalable solution ready for expansion across the city.