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Traffic Management Platform Powered by AI Video Analytics

Project Highlights

Our client, a state government agency was looking to deploy an AI-based video analytics solution that could help improve traffic management and reduce road accidents and fatalities caused by reckless driving. They were already using a platform that derive traffic insights from video data collected across the road infrastructure. The volume of collected data was constantly growing. Orangemantra was the right technology partner that helped with an AI solution to streamline the video data management process on a large scale.

Project Highlights
challenge
Business Challenges

Providing road intelligence at a large scale for safe driving and efficient movement needs real-time data access and accuracy. This is possible with the availability of advanced traffic management solutions like AI video analytics. The volume of traffic is constantly growing, contributing to the traffic jams and accidents. Among the biggest problems that our client face is road users’ lack of real-time road and traffic awareness. In addition, no proper mechanism to enforcing seat belt compliance, preventing wrong lane driving and speed detection to share real-time alerts for promoting safe driving habits. Current traffic monitoring systems have insufficient coverage to fulfill these requirements.

Technology Solution

Our client had the long-term vision of improving their traffic management platform to streamline the vehicle movement in the city. OrangeMantra brought this vision to life as a technological partner. We started with the analysis of the client’s existing data collected for traffic movement. Our AI team checked video quality, verification processes, and format compatibility. After we identified the scope of improvement, we decided to rebuild, upgrade, and integrate their video platform with AI capabilities. We moved to developing, designing, and implementing AI video analytics in the scope of the city infrastructure improvement.

Value Delivered

Traffic monitoring and management is a crucial responsibility for a government. Our commitment to our client’s vision of improving life in cities, ensuring smooth vehicle movement, pedestrian safety and road infrastructure has yielded tangible results. Our client has been able to use AI video analytics solution to improve their video processing capabilities. They can easily identify traffic violations, jams and build an actionable roadmap. The client’s integrated traffic management platform is growing and is now enabling safer and more efficient movement than earlier. In addition, the AI can process vehicle data from video captured to speed up the resolution of any road incidents and insurance claims. The partnership between OrangeMantra and client continues, with plans for bringing new opportunities to make traffic smooth by continuous vehicle monitoring.

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Our Process

Our client had the long-term vision of improving their traffic management platform to streamline the vehicle movement in the city. OrangeMantra brought this vision to life as a technological partner. We started with the analysis of the client’s existing data collected for traffic movement. Our AI team checked video quality, verification processes, and format compatibility. After we identified the scope of improvement, we decided to rebuild, upgrade, and integrate their video platform with AI capabilities. We moved to developing, designing, and implementing AI video analytics in the scope of the city infrastructure improvement.

The Problem

Providing road intelligence at a large scale for safe driving and efficient movement needs real-time data access and accuracy. This is possible with the availability of advanced traffic management solutions like AI video analytics. The volume of traffic is constantly growing, contributing to the traffic jams and accidents. Among the biggest problems that our client face is road users’ lack of real-time road and traffic awareness. In addition, no proper mechanism to enforcing seat belt compliance, preventing wrong lane driving and speed detection to share real-time alerts for promoting safe driving habits. Current traffic monitoring systems have insufficient coverage to fulfill these requirements.