Race Car Detection & Tracking Solution- Case Study Folio3AI

Car Detection Solution

Summary

tech company with many clients in the IT industry was looking for a technology partner who could help them develop an AI solution for car detection throughout a race course. Folio3 AI developed a customized vehicle detection solution for them with the ability to track and identify all cars throughout the race-course area.

About the Customer

A renowned tech company that offers cost-effective cloud solutions, software development services, top-tier hardware and technology support, and data centers to help customers grow their businesses.

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  • Team composition

    6 members

  • Expertise used

    Machine Learning, Computer Vision, Vehicle Detection

  • Duration

    10 months

  • Services provided

    Model training, Data capture, Custom Algorithm Development, Application Integration

  • Region

    Europe

  • Industry

    IT Services and IT Consulting

Understanding the Challenge

Our client was looking to streamline their car tracking and monitoring system during car races. They were facing issues with manually tracking each car across different camera feeds, ensuring that there were no gaps in data and video streams, and identifying any missing or off-track cars.

 

Solution

Folio3 deployed their prebuilt vehicle detection solution to process the input video/live camera feed in real time. The algorithm was customized and fine-tuned for vehicle detection and tracking according to the client’s use case to detect and recognize the cars across the race track whenever they appeared in camera focus.

Live Camera Tracking and Results in Real-Time

Taking live camera feed as input and viewing results in real-time. Live camera tracking with an automatic camera switch, the focus shifts on the camera which has detected the car in view.

real time

Post Produced videos

Produce a processed output file for each car on the race track tracked across all the cameras. Car zoom and panning functionality on the processed output video clip.

 

post produced videos
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assignment and tracking

Vehicle ID assignment and tracking
Continuously tracking multiple assigned ID cars across the different cameras without gaps in the data and video stream.

detect and alert

Detect and Alert If the Car Goes off Track

Tracking all cars with assigned IDs and sending alerts in real-time if a car goes off track/ missing

 

Result

With an accuracy above 90%, the system detected and tracked cars with assigned IDs sent alerts in real-time, and produced processed output files for each car on the track. The solution was built to scale with the addition of more tracks and more cars.