Football training Application using AI + AR

This document outlines the software requirements for a mobile application designed to help young players (ages 6-14) and amateur athletes improve their skills in Australian football. The app integrates with smart devices, including Bluetooth-connected sporting equipment, and leverages Augmented Reality (AR) and Artificial Intelligence (AI) technologies to deliver engaging training modules. Refer to homeCourt ( basketball training app on IOS store ) 1.2 Scope The application will be available on both iOS and Android platforms. It will feature AR-based games for skill development, real-time motion tracking via AI, and integration with a Bluetooth-enabled football to capture and analyze data related to ball movement. The app will be aimed at children and amateur athletes, with a focus on interactive training, real-time feedback, and personalized skill improvement. 1.3 Definitions, Acronyms, and Abbreviations ● AR: Augmented Reality ● AI: Artificial Intelligence ● IoT: Internet of Things ● Bluetooth: Wireless technology used for communication between devices ● Gyroscope: A device used to measure or maintain orientation ● Accelerometer: A device that measures proper acceleration ● SRS: Software Requirements Specification ● CMS: Content Management System ● API: Application Programming Interface ● SDK: Software Development Kit ● GCP: Google Cloud Platform 1.4 Intended Audience This document is intended for: ● App Developers: For understanding technical specifications and implementation requirements. ● Project Managers: To guide the development and testing process. ● QA Engineers: To facilitate the testing phases. ● Security Experts: To ensure that security measures are properly incorporated. ● Stakeholders: To ensure that the development meets the business and user requirements. 2. System Overview The app will integrate with a Bluetooth-enabled Australian football that is embedded with a gyro and accelerometer to track the ball’s movement. This data will be sent to the mobile device in real-time to provide feedback on user performance. Key features of the app will include: ● User registration and management with subscriptions. ● Smart device integration with real-time data processing and motion analysis. ● AR-based training games to engage users in skill-based drills. ● Real-time feedback on ball handling, kicking, and overall performance. ● Analytics and performance reports for users to track progress. The app will allow players to train independently and receive feedback on their skills, whether they are practicing indoors or outdoors. Data synchronization between the app and sporting equipment will provide personalized training experiences. 3. Functional Requirements 3.1 User Management ● User Registration: Users will register via email, social login, or mobile number. ● Subscription Management: The app will support a subscription model for premium content (monthly/annual). ● User Profiles: Profiles will contain personal information (name, age, training history) and subscription details. ● Parental Controls: Parental verification and controls for children users (age verification, app restrictions). ● User Authentication: Secure login using email/password, 2FA 3.2 Smart Device Integration ● Bluetooth Device Pairing: The app will support pairing with a Bluetooth-enabled ball (smart football) for real-time data collection (gyroscope, accelerometer). ● Data Synchronization: Data captured from the ball will be processed in real-time to provide feedback on ball movement, speed, trajectory, and performance. ● Device Management: Users can manage their connected devices via the app (pair/unpair, troubleshoot, etc.). 3.3 AR-Based Training ● AR Training Games: The app will offer skill-based games in AR to teach specific football skills (handballing, kicking). ○ Interactive elements will include virtual targets or zones that adapt based on user input. ○ Scoring and progress tracking will be integrated to increase user engagement. ● AR Environment: Using ARKit (iOS) and ARCore (Android), the app will place virtual objects (e.g., targets, goalposts) overlaid on the real-world environment. ● Ball Tracking in AR: Using AR and AI, the app will track the ball’s position and trajectory, offering visual feedback on ball handling and technique. 3.4 Performance Feedback ● Real-Time Analytics: Process data from the ball's gyroscope and accelerometer to calculate performance metrics such as ball speed, accuracy, and trajectory. ● Instant Feedback: Provide real-time feedback to users via visual indicators (e.g., trajectory lines, speed metrics). ● Performance Reports: Generate detailed training reports that users can view and share. Reports will include metrics like ball handling accuracy, speed, distance covered, and improvement over time. 3.5 Training Recommendations ● Personalized Tasks: Using AI algorithms, the app will generate personalized training tasks based on user performance history and skill level. ● Dynamic Adaptation: The app will adapt training tasks based on progress, recommending challenges that are aligned with the user's goals. ● Video Content: Training videos and tips will be integrated into the app, delivered via a CMS to help users improve techniques. 3.6 Social and Community Features ● Live Challenges: Monthly challenges and live events will be hosted, allowing users to compete against each other. ● Leaderboards: Users will be able to track their rankings compared to others. ● Achievements and Badges: Gamification will be used to reward progress, with badges for milestones. 4. Non-Functional Requirements 4.1 Performance ● The app must handle at least 20,000 active users concurrently. ● Real-time data processing must occur with minimal latency (less than 200ms). ● Video content must be streamed smoothly without buffering for users with internet speeds of 3 Mbps or higher. 4.2 Scalability ● The backend system should be designed to scale with increasing user base, particularly as new devices and features are introduced. ● The application should handle spikes in user activity, especially during live challenges. 4.3 Security ● Data Encryption: All sensitive user data must be encrypted both in transit (using SSL/TLS) and at rest (using AES). ● Privacy Compliance: Ensure compliance with GDPR, Australian Privacy Principles (APPs), and data minimization practices. ● User Authentication: Use secure authentication methods (email/password, social login, 2FA). ● Payment Security: Integration with secure payment gateways (e.g., Stripe) for handling subscription payments. 4.4 Usability ● The user interface should be intuitive and engaging, with an emphasis on child-friendly design (ages 6-14). ● The app should feature a responsive design that works across various screen sizes and orientations. ● The user experience should be seamless, with easy navigation between training modes, device management, and performance reports. 5. System Architecture 5.1 Mobile Application ● Frontend: Developed using Unity3D for cross-platform compatibility (iOS and Android). ● Backend: A cloud-based architecture (Google Cloud Platform or AWS) with scalable services for data storage, user management, and analytics. ● AI - Using YoloV9 Vision Model to understand ball tracking and user movement. ● AR Engine: Unity 3D for AR integration, utilizing ARKit (iOS) and ARCore (Android) for real-time object tracking and rendering. ● Data Processing: Real-time processing of motion data from connected devices (smart balls) using algorithms optimized for mobile devices. 5.2 Content Management System (CMS) ● The CMS will manage various types of content, including AR assets, training videos, and user-generated content. ● CMS Features: ○ Upload and organize video content. ○ Track video viewership and user interactions. ○ Ensure smooth distribution of content using a CDN (Content Delivery Network). 5.3 Smart Device Integration ● Bluetooth Integration: The app will communicate with Bluetooth-enabled balls to retrieve sensor data (gyro and accelerometer). ● Real-Time Feedback: Data from the ball will be processed and displayed in the app in real-time for user feedback. 6. Development and Deployment Phases 6.1 Discovery & Requirement Analysis ● Finalize project scope, technical architecture, and design. ● Identify hardware (smart balls) integration requirements. ● Prepare for backend infrastructure setup. 6.2 Design and Development ● Design UI/UX and create wireframes. ● Develop the app for iOS and Android using Unity3D. ● Implement AR features and smart device integration. 6.3 Testing and Deployment ● Implement unit testing, integration testing, and user acceptance testing (UAT). ● Ensure security compliance and performance optimizations. ● Deploy the app to a staging environment for final QA. 6.4 Launch ● Deploy the final app to the iOS and Android app stores. ● Monitor user feedback and make necessary updates.