IOT based Automatic Colour Sorting Machine

VIVA-Tech International Journal for Research and Innovation Volume 1, Issue 4 (2021)
ISSN(Online): 2581-7280
VIVA Institute of Technology
9th
National Conference on Role of Engineers in Nation Building – 2021 (NCRENB-2021)
www.viva-technology.org/New/IJRI
D-7
IOT based Automatic Colour Sorting Machine
Kunal Shinde1
, Vinayak Adulkar2
, Avinash Wankhede3
, Mrs. Meena Perla4
1
(Student, Dept. of Electronics & Telecommunication, Viva Institute of Technology, Virar Maharashtra, India)
2
3
4
(Professor, Dept. of Electronics & Telecommunication, Viva Institute of Technology, Virar Maharashtra,
India)
Abstract : In our day - to - day life we use wide range of products .The manufacturing and production of these
products are done in many small scale and large scale industries. Arranging products manually make quality
consistent issue. Nowadays, After manufacturing and production of the products the main difficulties are faced is
the sorting of products. Arranging of products in an industry is a poor modern process, which is largely done
physically. The machine which is consistent and sort products according to their size, colour, shape and weight
etc. are needed in industry which helps in consuming time and human interactions. This paper gives a brief
information about how products are sorted according to their containers respectively.
Keywords – Internet of Things (IOT), Automation, Sorting Machine, Servo Motor, Raspberry pi4
1. INTRODUCTION
Industrial processes are well refined with the assistance of automated system thanks to the drawbacks of the
manual system .The manual system of sorting objects relies on manpower. Human are highly capable to
differentiate objects colours and to sort them. But repeating the identical process may cause irritation and mental
stress which might result in certain manual errors like low accuracy, low efficiency, etc. To reduce production
time and to extend quality, automated systems are being employed. The proposed system is in a position to sense,
sort and count objects supported their colours and to display them on App and stored using Cloud. It transfers the
various coloured objects to different containers for several number of times.
1.1 Importance of Project
Automatic colour sorting machine are significantly different from manually colour sorting machine with high
flexibility and swiftness in its movement. The automatic colour sorting machine structure design gives an
advantages over manually colour sorting machine and also the ability to adapt to industrial requirements so that it
can be widely used in industry, industrial testing etc. and special conditions like humans cannot detect colour
shades result in increasing attention is paid to automatic colour sorting machine.
1.2 Motivation
The motivation of creating a IOT based automatic colour sorting machine comes from the abilities which a
IOT based colour sorting machine possesses in comparison to manually colour sorting machine such as flexibility,
adaptability and less human interference .

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2. DESIGN METHODOLOGY
2.1 BLOCK DIAGRAM:
Fig .1 Block diagram
The mechanism is designed with the help of the components like Power supply, Camera Module, Raspberry pi
V4 and Servo motor. Power supply provide electric power to the components. The colour sorting mechanism
makes use of a camera module to detect the colour and shape of the object. Raspberry pi is used to store the data
received from the camera module and to give the commands to the camera module and servo motor. Data store
over Raspberry pi server is send to the MIT app server. And through the MIT app data is received from the MIT
server and then data is displayed on the app. The mechanism make use of servo motor to carry the object to the
container making overall mechanism technically advanced and futuristic.
Power Supply
5V Adaptor
%
Raspberry pi V4
Camera
Module
Data store over
Raspberry Server
Data send to MIT app server
Receive Data on MIT app
Display Data on app
Servo Motor
Servo Mechanism
Red Green Blue Yellow Faulty

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2.2 Flowchart:
Fig.2 Flowchart
The starting process of IOT based colour sorting machine is described by the flowchart in the Fig. where the firstly
object undergoes the camera module for colour and shape detection. If the shape does not match to the given data
to the machine then it will go directly to the faulty container through servo motor. And if the shape matches to the
Start
Object undergo camera module for
colour and shape detection
If colour is Red?
If colour is Green?
If colour is Blue?
If colour is Yellow?
Faulty Container
Store number of count into variable
Store into database
Send data over Cloud
Receive data on MIT App server
Display data on App
Servo rotation according to the colour variable
Stop
NO
Yes
Yes
Yes
Yes

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given data then the colour sorting begins. If the colour of the object matches to the given data, the object is counted.
And it store the count into variable then it is stored in database. Data is send over cloud then data is received on
MIT app server. And then data is displayed on app. Then servo motor makes rotation according to the colour
variable. And if the colour of the object does not matches to the given data then it will go directly into faulty
container through servo motor.
2.3 Working:
The Object will be poured into hopper which will load candies to the tube. As object passes from front of camera,
it captures the image and raspberry pi will perform image processing on that image to detect the colour of that
candies.
Image processing steps:
1. RGBY channel of image will be separated in the algorithm will check the Intensity of different channel.
2. Colour label will be attached according to highest intensity in the spectrum.
The container for different colour object are placed on either side of the tube and servo motor is placed in front of
the tube. Depending upon the colour detected flap attach on stepper motor will kick out, the last object from the
row and throws into respective container. If object found to be defected it will be thrown out in the other container
through the flap of stepper motor. As candies are sorted into respective of their colour, they can be packed.
The MIT application is used to get details on the colour count etc. and to give update on maintenance.
3. RESULT AND DISCUSSION
Fig. 3 Introduction to project Fig. 4 Segregation of object based on colour

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Fig. 5 Maintenance details
The Expected results of our project is that the colour sorting machine will sort colour object according
to the colour and shape and pass it to the container through the servo motor and flap. And through Wi-Fi module
data is send to mobile application and mobile application also gives updates on maintenance of the machine.
4. CONCLUSION
It gives expense effective, taking less time and technically the simplest way for differentiating objects.
This framework utilizes Raspberry pi which makes this model simple to utilize which is more additional effective.
The main failure are going to be caused if the sensing of object consistent with color isn't done. Therefore, it is
very important to have proper and checked sensors. Another we have used image processing for capture object
color and sort according to their container. Further, making desirable changes it can be used in small scale and
large scale industries as well. Fast working process, that’s why we can consume time. No errors like counting
mistakes, it gives accurate reading. Good repeatability. Reduce labor cost in industrial sector. Less human
interference, automatic done work.
Acknowledgements
It gives us immense pleasure to express my deepest sense of gratitude and sincere thanks to our highly respected and esteemed
guide Prof. Meena Perla (EXTC), Viva Institute of Technology, Virar for her valuable guidance, encouragement and help for completing this
work. Her useful suggestions for this whole work and co-operative behavior are sincerely acknowledged. We would like to thanks Dr. Arun
Kumar, Principal for whole hearted support. We also wish to express our gratitude to Prof. Archana Ingle HOD (EXTC Engineering) for her
kind hearted support. We are also grateful to our teacher Prof. Karishma Raut for their constant support and guidance. At the end we would
like to express our sincere thanks to all our families and friends and others who helped us directly or indirectly during this project work.
REFERENCES
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[7] Machine Vision Based Automated Object Sorter Using Digital Image Processing MATLAB1Shalu Chopra, 2Ritu Kadyan 1Student of Master
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IOT based Automatic Colour Sorting Machine

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