Project Description:

The Color-Based Sorting Machine is an automated system that detects and sorts objects based on their color using a camera or color sensor. This system is often used in manufacturing lines, food processing, and recycling units to eliminate manual sorting and improve efficiency.

Using computer vision or color sensors, the machine identifies the color of each item placed on a conveyor and uses motors or actuators to divert the item into the correct bin based on its color.

Technologies Used:

• Backend: Node.js / Java / PHP (for data logging and monitoring)

• Frontend: HTML, CSS, JavaScript, Bootstrap (for UI monitoring)

• Database: MySQL or Firebase (to track sorting stats)

• Hardware Components:

  • Raspberry Pi / Arduino

  • Pi Camera or TCS3200 Color Sensor

  • Servo or DC motors

  • Conveyor belt mechanism

  • IR sensors (for object detection)

  • Buzzer or LED (status indicators)

Key Features:

1. Color Detection:

   • Detects object color using a camera module or TCS3200 sensor.

   • Supports multiple colors (e.g., Red, Blue, Green, Yellow, etc.).

2. Automated Sorting:

   • Based on detected color, servo motor directs object into the appropriate bin.

   • Works continuously on conveyor belt system.

3. Web-Based Monitoring Dashboard:

   • Displays number of objects sorted by color.

   • Real-time activity logs and statistics.

   • UI designed using HTML, CSS, JavaScript, and Bootstrap.

4. Data Logging:

   • Stores logs of sorting activities in backend database (MySQL/Firebase).

   • Visual graphs show sorting trends over time.

5. Error Alerts:

   • Alerts if an object of unknown color is detected.

   • Optional buzzer or LED indicator for unrecognized items.