Google Cloud Platform Case Studies Bepro: Leveraging Google Cloud for Video-based Football Analysis

Edit This Case Study Record

	Bepro: Leveraging Google Cloud for Video-based Football Analysis Google Cloud Platform

Bepro: Leveraging Google Cloud for Video-based Football Analysis

Google Cloud Platform

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
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). Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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).

About 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.

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.

Impact #1	By leveraging Google Cloud, Bepro was able to automate video processing and analysis, handle large files without a CDN, and improve UX/UI service analysis. The company was able to upload data quickly to the storage facility and send back the edited and analyzed video to the club as fast and in as stable fashion as they wanted. Bepro was able to achieve high-speed, satisfactory operation and management, as well as security and stability by effectively combining Google's network, infrastructure, and storage offerings. The company also improved its operational efficiency and cost-effectiveness, even with increased usage. Bepro was able to focus on its core business while creating and refining actual services as the company grows, improving its business efficiency by leveraging Google Cloud as a comprehensive process rather than an individual service.

Impact #1

By leveraging Google Cloud, Bepro was able to automate video processing and analysis, handle large files without a CDN, and improve UX/UI service analysis. The company was able to upload data quickly to the storage facility and send back the edited and analyzed video to the club as fast and in as stable fashion as they wanted. Bepro was able to achieve high-speed, satisfactory operation and management, as well as security and stability by effectively combining Google's network, infrastructure, and storage offerings. The company also improved its operational efficiency and cost-effectiveness, even with increased usage. Bepro was able to focus on its core business while creating and refining actual services as the company grows, improving its business efficiency by leveraging Google Cloud as a comprehensive process rather than an individual service.

Benefit #1	Bepro records and analyzes matches of over 500 professional football teams worldwide.
Benefit #2	Bepro processes large video files quickly and efficiently using Google Cloud.
Benefit #3	Bepro uses Compute Engine to combine 4K resolution videos and quickly convert them into a naturally flowing, appropriately sized video.

Benefit #1

Bepro records and analyzes matches of over 500 professional football teams worldwide.

Benefit #2

Bepro processes large video files quickly and efficiently using Google Cloud.

Benefit #3

Bepro uses Compute Engine to combine 4K resolution videos and quickly convert them into a naturally flowing, appropriately sized video.

Download PDF Version

Overview

Bepro: Leveraging Google Cloud for Video-based Football Analysis

Operational Impact

Quantitative Benefit