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@article{194792,
        author = {Mrs.Lubna Afza and Mrs Tahsina Kauser and Mrs. Jabeena Banu and Ms Syeda Nabeeha Tabassum},
        title = {ROBOTIC ARM ON OBJECT SORTING WITH BLUETOOTH COMMAND},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {5500-5506},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194792},
        abstract = {This paper presents a color-based object sorting robot system utilizing a Raspberry Pi, camera module, and motor driver circuits to identify and sort colored boxes—specifically red, green, and blue. The robot leverages computer vision techniques, implemented using OpenCV, to detect specific color regions in real- time video frames. Based on the identified color, the robot executes pre-defined motor sequences to pick up the detected object and place it in a designated location using a gripper mechanism and mobile platform.The system integrates serial Bluetooth communication to receive commands remotely, allowing for color-specific or manual control modes. The robotic arm's movement— controlled through GPIO pins—is capable of lifting, dropping, and opening/closing the gripper based on the object color. Each color triggers a unique movement sequence to ensure correct sorting. The robot is capable of distinguishing between different color objects by processing their HSV values and tracking them using contour detection.This automated approach can be applied to warehouse automation, recycling systems, or educational robotics, demonstrating efficient integration of hardware control with real-time image processing},
        keywords = {Robotic Arm, DC Motor, Python, Rasberry Pi 3, Motor Drivers},
        month = {March},
        }