Edge Vision develops edgeAI software that retrofits conventional traffic signals into smart intersections, enabling real-time traffic flow digitization without requiring infrastructure upgrades. This technology addresses urban traffic congestion and greenhouse gas emissions by optimizing traffic management through reliable, real-time data collection.
Funding
Funding not disclosed
Founders
Product
Problem
Existing traffic management systems often require significant infrastructure investments and upgrades, making them costly and disruptive to implement. Traditional systems also lack real-time data processing capabilities, hindering their ability to adapt to dynamic traffic conditions and optimize traffic flow effectively.
Solution
Edge Vision offers an edge AI-powered software solution that retrofits existing traffic signals into smart, interconnected intersections without requiring extensive infrastructure modifications. The software digitizes traffic flow in real-time, providing accurate and reliable data for optimized traffic management. By processing data at the edge, the system minimizes latency and enables immediate responses to changing traffic patterns, reducing congestion and improving overall traffic efficiency. The solution facilitates a transition to V2X (Vehicle-to-Everything) connected transport ecosystems, enhancing safety and reducing greenhouse gas emissions.
Target Audience
The primary target audience includes city transportation departments, municipalities, and traffic management agencies seeking cost-effective solutions to improve traffic flow, reduce congestion, and enhance road safety.
Features
- Edge AI-based processing for real-time traffic flow digitization
- Compatibility with existing traffic signal infrastructure, minimizing upgrade costs
- Real-time data collection and analysis without reliance on continuous internet connectivity
- Adaptive traffic management algorithms that respond dynamically to changing conditions
- Support for V2X communication protocols for enhanced safety and efficiency
- Integration with existing ITS (Intelligent Transportation Systems) infrastructure