Thesis Abstract

Abstract
This research project focuses on the development of an industrial intelligent line follower robot equipped with auto go down detection and other advanced features. The primary objective of this project is to create a robot that can autonomously navigate industrial environments by following marked lines on the floor while also being capable of detecting and avoiding drop-offs or hazardous areas. The proposed robot will incorporate various sensors and intelligent algorithms to achieve these functionalities. The key features of the industrial intelligent line follower robot include line following capabilities, auto go down detection, obstacle avoidance, and remote monitoring. The robot will be designed to follow predefined paths in industrial settings, allowing it to transport goods or materials efficiently. The auto go down detection feature will enable the robot to identify sudden drops or level changes in its path and take appropriate action to avoid accidents. Additionally, obstacle avoidance mechanisms will ensure safe navigation in dynamic environments. To implement these features, the robot will be equipped with a combination of sensors such as infrared sensors, ultrasonic sensors, and cameras to perceive its surroundings accurately. Intelligent algorithms, including PID controllers for line following and obstacle avoidance algorithms, will be developed to control the robot's movements effectively. Furthermore, a remote monitoring system will be integrated to allow operators to track the robot's position, status, and performance in real-time. The industrial intelligent line follower robot is expected to have various applications in industries such as manufacturing, warehousing, and logistics. By automating material handling tasks, the robot can enhance operational efficiency, reduce human intervention, and improve workplace safety. The auto go down detection feature adds an extra layer of safety by preventing accidents caused by falls or collisions. Overall, this research project aims to demonstrate the feasibility and effectiveness of an industrial intelligent line follower robot with auto go down detection and other advanced features. The development of such a robot has the potential to revolutionize industrial automation by providing a versatile and intelligent robotic solution for navigating complex environments with precision and safety.

Thesis Overview

INTRODUCTION:

The proposed system is based on ATMEL 89S52 μcontroller.

For doing this project we use some of the software like:

Embedded C for programming the application software to the microcontroller.
Protel schematic software is used for designing the circuit diagram for this project.
Express PCB software is used for designing the PCB for this project. (Since PCB making is a big process and involves lot of machineries which are expensive, we are going to outsource this to the manufacturer.)
ABSTRACT:

The present condition in Industry is that they are using the crane system to carry the parcels from one place to another, including harbor’s.Some times the lifting of big weights may cause the breakage of lifting materials and will cause damage to the parcels too.

Application of the proposed system is for industries. The robot movement depends on the track. Use of this robot is to transport the materials from one place to another place in the industry. IR transmitter and receiver are used to find the obstacles in the path. RF transmitter and receiver are used to send/receive the command from/to robot/control unit.

The IR and RF technology is one of the most widely used wireless communication technique in most of the embedded applications. For RF communication we are using the transmitter and receiver in the range of 433 MHz. for IR transmissions the IR led is used in the frequency of 38 kHz.