Powered by real-world results in the City of San José, this blog will showcase how AI-based traffic detection is changing the landscape of smart city initiatives. This is a learning opportunity, and it’s open to all traffic professionals eager to dive into next-generation ITS technology.
Real-World Success: San José’s Red Light Detection Deployment
Currux Vision’s AI-powered system has already proven itself with a successful deployment in San José. Red light running is a leading cause of severe urban crashes, and San José tackled this by implementing Currux Vision’s advanced solution. Operating at over 90% accuracy, the system detects violations, predicts red light runs by analyzing vehicle speed and distance, and communicates with traffic controllers to extend red lights or hold green phases, preventing dangerous collisions. By November 2024, San José had fully implemented the system at high-risk intersections, resulting in measurable safety improvements. Learn more about the project here.
Why AI-Based Detection is a Game-Changer
Traditional traffic systems struggle with environmental challenges, leading to false readings and unreliable performance. Currux Vision’s solution leverages deep learning and computer vision to “see” traffic behaviors with unmatched precision. The system adapts to real-world variables such as weather, lighting, and congestion—critical factors that impact urban traffic management every day. San José’s deployment demonstrated how AI could effectively mitigate red light running, even in glare, low light, and fog.
Currux Vision’s Smart City Application
- AI Detection Accuracy: A deep dive into how the system achieves 90%+ detection accuracy in varied weather and lighting conditions, including heavy fog.
- Glare and Fog Challenges: A technical exploration of how AI compensates for reduced visibility, ensuring safer intersections during the toughest Bay Area weather.
- ITS System Integration: How Currux Vision easily integrates into existing city infrastructure without major disruptions or extensive overhauls.
- Predictive Signal Adjustments: How real-time data and AI modeling can adjust traffic signals to proactively reduce crash risks.
- Community Impact: Understanding the tangible benefits for local communities, from reduced congestion to fewer accidents.
A Regional Innovation and Opportunity
Currux Vision is not an experimental platform—it’s already helping cities like San José create safer, more responsive streets. The collaboration between San José, Currux Vision, and Western Systems began in early 2024 and represents a scalable model for urban safety initiatives. With neighboring agencies already investing in this proven technology, local attendees can feel confident that they are learning about a solution that is trusted and operational within their community. This project brings those lessons home to other Bay Area communities, offering a chance to learn from proven deployments and collaborate with peers on future-ready traffic management strategies.
Join Us in Shaping the Future of Traffic Safety
Interested in bringing Currux Vision to your city? Contact Western Systems to start the conversation and learn how we can help implement this proven, AI-powered traffic solution in your community.