INDUSTRIAL AUTOMATION USING IOT WITH IMAGE PROCERSSING

Abstract

The intention of this project is to elaborate and simplify how different products manufactured in a factory
can be put on a single conveyer for its proper distribution and data logging in a random sequence. To upgrade
process, images captured by the webcam can be processed with image processing techniques using software like
MATLAB. The image processing technique and color detection technique applied for the taken image and the
appropriate output is obtained in this project.
The goal is to develop a conveyor belt which will play a vital role in small scale as well as large scale industries
for and logging the data, consequently reducing the cost of labour and multiple conveyors. The system leverages a
conveyor belt with 2 motors, a mechanism to sort products and a Webcam in proximity of the apparatus. The webcam
mounted in parallel to the assembly line focused on the products on the conveyors in order to have known the
product and its sequence. The apparatus send image processed readings and measurements over wires to a
microcontroller for further processing. Code run on the microcontroller in conjunction with a code in MATLAB
generates an output on the appropriate pins configured by user by a program, which controls the speed and
direction of the conveyor belt. The quality in MATLAB image processing toolbox and Arduino has made it possible.
This research thus implements an industrial assembly line with methodology in image processing.