WIRELESS COMMUNICATION BASED VEHICLE AUTOMATION USING OPTICAL CHARACTER RECOGNITION
Advisor:
Mr. Salman Fakhar
Abstract:
Automation is the spark of the industry and every industry is willing to invest in automation.
This application-based project can be used for fixed areas, like factories or universities to
transport payloads and equipment. We have used Optical Character Recognition (OCR)
technique as it is cost effective. Optical Character Recognition is the process of converting
text in an image to editable text. The character recognition is achieved through
segmentation, feature extraction and classification. We have made the system wireless by
using WLAN. Raspberry pi can establish a connection within 32 meters range which is
typical for WLAN. Controller is driven by a power bank and a 12 V battery is used to
provide power to the DC geared motors of the robot. Power bank and battery are fitted
within the assembly of the robot and there is no need to provide any wired connection from
external source. When we send the command through LabView to Raspberry pi, the robot
will start moving towards its specified destination. The on-board camera will take images of
the direction boards and feed them to Raspberry Pi which will extract the text from the
image and will decide its direction (left/right) according to the extracted text. We are using
pi camera also for live streaming through VLC plugin on LabVIEW. So, this project can be
used for surveillance purposes as well. We are using three ultrasonic sensors, one on the
front and two on the sides. The sensor on the front will help in obstacle avoidance and the
sensors on the sideways will keep the robot on a straight path so that it may not collide with
a wall or any other object. When the extracted text from any image matches with the given
command, the robot will stop there and will wait for further instructions.