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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
Personal assistance robot is used to reduce human work in their day to day life. This paper describes the development and implementation of IOT- based human assistance robotic arm. It is mainly controlled by voice commands to pick and place the object in a particular place. Voice communication is done by Android application and Bluetooth module. Raspberry pi is used to control the motor drivers and also interfaced with LCD for displaying the commands. At the end effector,pi camera is placed to capture the object in front of the robotic arm. Image captured by the pi-camera is analysed in visual studio code in raspberry pi. YOLO v4 algorithm is used for the accurate, faster object detection in the real time. The identified object names are get extracted from the image using py-tessaract. Optical Character Recognition is used to extract the text from the image .Based on the input voice command the robotic arm will pick the particular object and compare the object name with the voice command. Then the robotic arm will perform their function based on programming.In this proposed work, building the low cost, user friendly efficient robotic arm is made from the cheap house hold materials. The performance of the proposed work is measured in terms of accuracy, DOF and latency.
Keyword
Robotic arm, Bluetooth module, object detection,YOLOv4, OCR, end effector.
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