YOLO Motorcycle Time Gap Analysis
Budget: €12 – €18 EUR
I have a single 40-second MP4 clip that shows two motorcycles circulating the same track. Each bike can be separated at a glance because they are painted different colours. What I need is a reliable, frame-accurate measurement of the time interval between the first and the second motorcycle as they pass a chosen reference line on the circuit.
Please use YOLO (or an equivalent real-time object detector) to:
• detect both bikes throughout the whole sequence,
• define a consistent reference line or region on the track,
• timestamp the exact moment each bike crosses that reference, and
• burn a clear visual overlay onto the video that displays the calculated gap in seconds.
The finished deliverable is the processed video with the overlay already embedded; no separate reports are required. Accuracy is more important than flashy graphics, so focus on rock-solid detection and precise timing. If any pre-processing or calibration is needed—perspective correction, colour filtering, etc.—feel free to apply it as long as the final overlay is clean and easy to read.
Please use YOLO (or an equivalent real-time object detector) to:
• detect both bikes throughout the whole sequence,
• define a consistent reference line or region on the track,
• timestamp the exact moment each bike crosses that reference, and
• burn a clear visual overlay onto the video that displays the calculated gap in seconds.
The finished deliverable is the processed video with the overlay already embedded; no separate reports are required. Accuracy is more important than flashy graphics, so focus on rock-solid detection and precise timing. If any pre-processing or calibration is needed—perspective correction, colour filtering, etc.—feel free to apply it as long as the final overlay is clean and easy to read.
Related categories:
Python
Video Editing
Image Processing
Video Processing
Computer Vision
Deep Learning
Object Detection
YOLO