Object recognition software
Cricket Player Recognition

Sports
2018-2019
United Kingdom![]()
Overview
The project is an object recognition system that identifies players during a cricket match. It uses specific movements and sound peaks as triggers to start recording the game stream automatically, so key moments are captured without manual intervention. By combining computer vision and audio detection, it supports game analysis, player tracking and performance evaluation for teams, broadcasters and analysts.

Services Provided for This Case
Challenge
The client already had a working system and wanted to add features to it. The new features had to stay compatible with the core architecture, and the system needed optimising without disrupting existing operations. The client turned to Go Wombat for both.

Solution
We worked on the core computer vision tasks: recognising and counting objects. We optimised the system’s processing for accuracy and efficiency. We also wrote a custom script for Raspberry Pi that streams video to a server, which relays it to Facebook Live in real time.

Technology stack
Backend:
Other:
Result
After our changes, the system recognised players during cricket games more accurately and reliably, and it processed video faster. Matches could also be streamed live to Facebook.

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