This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Real-Time Soccer Highlights Generation Platform - Enhanced & Scalable

oxagile.com

Media

Challenge: Inefficient Soccer Content Monetization

The client faces challenges in efficiently monetizing its soccer content due to lengthy processing times for highlights, leading to missed opportunities for engagement and revenue. Manual highlight creation is time-consuming, prone to human error, and struggles to keep pace with the increasing demand for real-time content.

About the Client

A leading provider of media asset management (MAM) and logistics solutions for broadcast and digital media companies, specializing in sports content.

Objectives: Enhance Real-Time Soccer Highlight Generation

Reduce video processing time by 70% or more.
Improve highlight detection accuracy to 95% or higher for key moments.
Increase content publishing speed to enable near real-time highlights delivery.
Enable scalable highlight generation for live and VOD soccer content.
Facilitate diverse content creation (player, team, championship-based compilations).
Optimize ad insertion opportunities within highlights.
Reduce overall content production costs.

Functional Requirements

Intelligent ML-based highlight detection (goals, fouls, red cards, etc.).
Automatic scene decomposition and event categorization.
Robust face and gear recognition for player identification.
Real-time processing of live soccer streams with low latency (under 10 seconds).
Manual filtering and adjustment of highlights.
Smart replay detection for accelerated highlight generation.
Direct integration with YouTube, Vimeo, Dailymotion, and other video platforms.
Support for various highlight compilation types (player, team, championship).
Automated ad insertion spot detection and placement.
Content moderation capabilities.

Preferred Technologies

Machine Learning (ML) algorithms (specifically deep learning)

Video processing frameworks (e.g., FFmpeg, GStreamer)

Cloud-based infrastructure (AWS, Azure, GCP)

REST APIs for integration with external systems

Required Integrations

YouTube API
Vimeo API
Dailymotion API
Existing MAM systems (integration for content ingestion/retrieval)

Non-Functional Requirements

High scalability to handle large volumes of soccer matches.
Low latency for real-time highlight generation.
High accuracy in highlight detection (95%+).
Robustness and reliability to ensure uninterrupted operation.
Secure data handling and storage.
Support for various video formats and resolutions.

Expected Business Impact

This project is expected to significantly improve the client's ability to monetize its soccer content by reducing processing times, increasing highlight accuracy, and enabling faster delivery of engaging content. This will lead to higher fan engagement, increased revenue, and a strengthened position in the sports media market. Reduced production costs and digital transformation of content workflows are also anticipated.