Development of a Scalable Video Processing and Trajectory Analysis Platform for Sports Training Applications

The client requires a robust, high-performance mobile application capable of processing and rendering video data with advanced trajectory analysis for sports training purposes. Key pain points include delivering a revamped user interface within tight deadlines, ensuring software scalability to support a large concurrent user base, and addressing obsolete, unstructured code lacking proper version control. Additionally, the client faces challenges in integrating AI/ML-driven motion tracking and image analysis without internal technical resources, leading to delays and unreliable deployment history.

A mid-to-large size sports technology company specializing in innovative training tools and fitness applications for athletes and fitness enthusiasts.

• Deliver a fully functional, scalable sports training mobile application with improved UI based on new design specifications.
• Implement advanced real-time video processing and rendering capabilities, including precise trajectory analysis for ball and player movement.
• Establish a reliable, maintainable codebase with version control and modular structure.
• Ensure backend infrastructure supports high concurrency and scalability, with clear separation of development and production environments.
• Integrate AI and machine learning modules for motion detection, image analysis, and trajectory prediction, leveraging expertise in data science and vision processing.
• Set up robust DevOps pipelines for continuous integration and deployment, utilizing cloud platforms like Azure.

• Real-time video capture, processing, and rendering with correction and overlay capabilities.
• Trajectory analysis module to detect and track ball and player movement during training sessions.
• AI-powered image analysis for motion detection, player identification, and event classification.
• Scalable backend architecture supporting thousands of concurrent users with environment decoupling.
• Cross-platform mobile development framework optimized for performance and UI flexibility.
• Integrated DevOps tools for continuous integration, automated testing, and deployment.
• Version-controlled, maintainable codebase adhering to best practices.

• Video streaming and recording modules within the app
• AI/ML services for image and motion analysis (e.g., custom vision models)
• Backend analytics dashboards for user and training data
• Notification and real-time communication systems

• System must support at least 10,000 concurrent users with high responsiveness
• Video processing latency must be under 1 second for real-time feedback
• Application uptime target of 99.9% with automatic failover
• Data privacy and security compliance for user data and video streams
• Modular design to facilitate future feature addition and maintenance

The new system is expected to provide a highly scalable and reliable platform for sports training, enabling real-time video analysis and trajectory tracking for thousands of users simultaneously. This will enhance training effectiveness, improve user engagement, and reduce time-to-market for new features. Achieving seamless integration of AI-powered insights will set a new standard in sports tech applications, supporting rapid development cycles and ongoing innovation.