ROBOTIC ARM WITH REAL-TIME IMAGE PROCESSING USING RASPBERRY PI, BOTH AUTOMATED AND MANUALLY.

Abstract

This paper proposes to create a Robotic Arm with Real-Time Image Processing using Raspberry Pi which can either be automated or can be operated manually. In the present era, we are making a robot capable of detecting and placing the pre-specified object. The code for detection of color has been written in Python. For a hardware implementation, we are using raspberry pi which has Raspbian OS based on Debian which is Linux OS. The robotic arm detects the pre-specified objects and segregates them based on color (RGB). The program includes controlling the robotic arm, capturing the object image processing, identifying the RGB object, using a local page to control motor manually and perform all task automatically using Raspberry Pi. Introduction:-In today's scenario, the robot with high accuracy, high output, and no error is in demand, the precise work or repetitive work is better done with robots, for the robot the sensor or camera is common sense for the machine-like image processing to detect and identify an object and its characteristic which helps to perform a required task. A Robotic arm can decide the object based on color like Red, Green, and Blue using camera and image processing in raspberry pi. The main aim of the project is to make a robot that has the capability of pick a pre-specified object and placing it in separate divisions based on color. Raspberry Pi has found its way in many useful and changeable implementations in robotic systems. Raspberry Pi does not implement any usual motor control peripherals and it is available at low cost. The python code has been formulated for creating a robotic arm with image processing and local web page with slider to adjust servo motor position manually.