Bepro: Leveraging Google Cloud for Video-based Football Analysis
Technology Category
- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Education
- Equipment & Machinery
Applicable Functions
- Maintenance
Use Cases
- Construction Management
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Bepro is a Korean company that provides Bepro11, a professional football analysis service. The service records and analyzes both professional and amateur football matches, providing users with detailed statistics such as a team's pass completion rate, a player's distance run per game, and a player's full season record. As of November 2019, Bepro had analyzed the matches of over 500 teams, recording matches of famous football clubs in Korea, the US, and Europe. The company uses Google Cloud technology to record and analyze every moment in football stadiums around the world, providing valuable data from these games.
The Challenge
Bepro, a Korean company, operates Bepro11, a platform that records and analyzes football matches using machine learning. The platform records matches of over 500 professional football teams worldwide in real time, edits all in-game situations within 24 hours, and makes them available online for review. The challenge for Bepro was to handle large video files, process them quickly, and provide related services efficiently. The company needed a reliable and fast network and storage solution to record and transmit match records, process and analyze videos, and deliver the analyzed data to the clubs. The company also needed to automate complex video processing tasks and handle large datasets without a Content Delivery Network (CDN).
The Solution
Bepro leveraged Google Cloud to record and analyze football matches. Google's networks, virtual machines, and machine learning provided the technological foundation to analyze matches played by over 500 teams around the world. Bepro used Cloud Storage to record and transmit match records. The video data was linked directly to the network and saved in Cloud Storage once the game was over. Bepro also used Compute Engine to automate complex video processing tasks. Compute Engine combined the clips into one video, addressed issues with camera distortion and unnatural color, and created a panoramic view of the entire stadium. It also used its high computing power to combine 4K resolution videos and quickly convert them into a naturally flowing, appropriately sized video. Bepro utilized TensorFlow to recognize players individually and follow their movements from the first to the last whistle without missing a single frame. Bepro also used BigQuery to analyze its app and services, enabling continuous monitoring.
Operational Impact
Quantitative Benefit
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