OBSTACLE AVOIDER AND COLLISION CONTROL ROBOT
#1

Presented by:
B.L.SAILAJA
K.ABHI TEJA
M.SINDHURI KEERTHI
M.RAVI BABU

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Aim of the Project
To provide security and avoid obstacles and to control collision for safe navigation of a robot using 89S52 microcontroller.
Project Objectives
• To introduce automation in a robot for industrial purposes by implementing line tracking operation using IR sensors.
• To design a robot that can detect obstacles in its path with the help of Ultrasonic sensors and can change its direction to avoid collision.
• To make a robot to identify human or any moving object using PIR sensors and to see them using wireless cam.
Methods and Methodology
• To interface 89S52 microcontroller with wireless cam and sensors.
• To develop code for line tracking operation and obstacle detection using keilc software.
ARCHITECTURE
Working
Literature Review

• Embedded systems and robots projects using 8051 microcontroller by Ghoshal book describes four wheeled line follower robot which uses LDR for line sensing. Software is developed using assembly language. This book also describes obstacle detecting robot by using sonar.
Summary of Literature Review
• Literature review of different methods for line tracking has been carried out and it was concluded that using sensors is advantageous than using LDR.
• Literature review shows that different programming languages have their own advantages and disadvantages. So code is developed using Embedded-C language.
Working Principle and description of 89S52
• It is a 40 pin Ic
• It has 4 ports
• Each port has its own functioning
• Pin Description
Project status and Pending Work
Work done:

• Implementation of line tracking operation in robot was done using IR sensors.
• Implementation of obstacle detection in this robot is done by using PIR sensors.
Pending work:
• To interface wireless cam to microcontroller to see moving objects.
• Code is being developed using Kiel-c software.
• Project flow and status
• Gantt Chart
Conclusion
• Our ROBOT successfully implements line tracking and range detection and obstacle avoidance
• Hence it can be further used in Automobiles and industrial automation
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