MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202621029008 A) filed by Dr. Abhishek Sharma; Prof. Sanjay Khadagade; Abhimanyu Kumar; Akash Kumar; Sneha Kumari Pandey; Kareena; Nainsi Rajpoot; and Adarsh Kumar, Bhopal, Madhya Pradesh, on March 11, for 'color shorting robotic arm.'

Inventor(s) include Dr. Abhishek Sharma; Prof. Sanjay Khadagade; Abhimanyu Kumar; Akash Kumar; Sneha Kumari Pandey; Kareena; Nainsi Rajpoot; and Adarsh Kumar.

The application for the patent was published on May 1, under issue no. 18/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to a color sorting robotic arm system designed to automatically detect, classify, and sort objects based on their color characteristics. The system integrates a sensing unit, processing unit, actuation unit, and power supply unit to perform automated pick-and-place operations. A TCS3200 color sensor is employed to detect the red, green, and blue (RGB) components of objects by converting light intensity into frequency output signals. These signals are transmitted to a microcontroller-based processing unit for further analysis and decision-making. The processing unit, implemented using an Arduino Uno microcontroller, analyzes the frequency signals obtained from the color sensor and converts them into calibrated RGB values. Based on predefined threshold ranges, the system classifies the detected object into specific color categories such as red, green, or blue. After classification, the microcontroller generates Pulse Width Modulation (PWM) signals to control servo motors attached to the robotic arm mechanism. These servo motors enable precise movement of the robotic arm joints and gripper for accurate pick-and-place operations. The proposed system provides a compact, low-cost, and efficient solution for automated color-based sorting tasks in industrial and educational environments. It improves operational efficiency, reduces manual labor, and minimizes human errors in repetitive sorting processes. The design is scalable and can be integrated with conveyor-based automation systems for continuous industrial operation. Future enhancements may include machine vision integration, IoT-based monitoring, and artificial intelligence techniques for advanced object recognition and intelligent industrial automation."

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