1) Camera and Sensor Synchronization
Requirement: Ensure precise synchronization between 8 USB cameras and sensors to continuously track the leading marble stone on a race track. 

Response: Our solution will integrate IR or Lidar sensors with Python-based control software and Raspberry Pi/Arduino. Sensor input will trigger seamless camera transitions in OBS, ensuring uninterrupted tracking and broadcasting of the leading marble. 

2) OCR-Based Color Detection:
Requirement: Implement OCR technology to detect marble colors accurately and determine the leading marble based on predefined color-based logic. 

Response: We will use OpenCV and AI-based OCR algorithms to analyze color patterns in real-time. This method will differentiate marble stones, identify the leading one, and trigger business logic flows for tracking and validation. 

3) Live Streaming & OBS Integration
Requirement: Stream the marble race live with automatic camera transitions for real-time viewer experience. 

Response: OBS Studio will be integrated with the system, using Python scripts to automate camera switching based on sensor input and OCR data. This will ensure low- latency, professional-grade live streaming suitable for public broadcasting. 

4) Web Dashboard with Control Panel
Requirement: Provide a web-based dashboard featuring a left-hand side panel to control system operations and visualize camera feeds. 

Response: We will develop a responsive web interface using React.js or similar, featuring a left-side panel to monitor live camera streams, adjust settings, and manage system operations. Admins can control sensor logic, monitor hardware, and export race data. 

5) Business Logic Detection Engine:
Requirement: Execute multiple race logic conditions like lap detection, marble overtaking, and status alerts. 

Response: A modular rule-based engine will be developed in Python to evaluate sensor inputs and video data. It will trigger logic for lap counters, leaderboard changes, and alert mechanisms all displayed live on the dashboard and in the stream. 

6) Hardware & Code Configuration:
Requirement: Configure the entire software system to operate on the client’s selected hardware and server.. 

Response: We will deploy all code on the client’s Raspberry Pi devices and central server, ensuring compatibility with USB cameras and connected sensors. The system will be optimized for stable performance and remote access via the client’s existing website. 

// 4 

// 5 

7) Live Ranking Panel Integration:
Requirement: Display a real-time ranking panel on the left side of the screen to show the current order of marbles during the race. 

Response: We will implement a dynamic left-hand ranking UI, auto-updated via sensor inputs and image processing. This panel will visually display the top marble positions in real time, integrated with the live video feed and web dashboard.