Back to Case Studies


Public Sector & Smart Cities
Traffic Flow Optimization
CV + RL system to optimize traffic signals in real time, reducing congestion and travel times.

Congestion Reduction
25
%
Travel Time Savings
15
%
Emission Reduction
The Challenge
Traffic congestion causes huge productivity losses and worsens pollution.
Our Solution
Computer vision and reinforcement learning for real-time traffic monitoring and adaptive signal optimization to reduce congestion.
TECHNOLOGIES USED
PythonYOLOv8Reinforcement LearningEdge ComputingTraffic APIsDashboard
Ideal For
Transportation authorities
Smart city initiatives
Traffic management
Visual Insights

