This document describes the design and implementation of a colour sorting machine using an Arduino microcontroller. It discusses existing colour sorting methods and their disadvantages. The objective of this project is to design a low-cost and accurate colour sorting machine for food industry applications. The proposed method uses a TCS230 colour sensor to detect the colour of an object and a servo motor to separate objects by colour. The Arduino reads the sensor input and controls the servo motor movement. The colour sorting machine is expected to save time and increase production efficiency compared to traditional sorting methods.
2. CONTENT:
Objective
Introduction
Literature survey
Proposed work
Block diagram
Explanation
Tools
Advantage and disadvantage
Application
Reference
3. EXISTING METHOD:
In currently existing systems, use of different technology is made according to budget
and scope of industry. It includes robotics systems, microcontroller based system, sensor
based system and pneumatic based system, etc.
Automatic colour sorting machines are more expensive, So our proposed method is
developed to design machines are low cost, and more accuracy.
OBJECTIVE:
The objective of this proposal to designed for automatic sorting of objects based on
the colour. TCS230 sensor was used to detect the colour of the object and separate the
object using servo motor. The arduino microcontroller was used to control the overall
process and its mainly focused on food industry
4. INTRODUCTION:
Automation is the technology by which a process is performed without human
assistance.
Automation is the use of various control systems for operating equipment such as
machinery, processes in factories and other applications and vehicles with minimal or
reduced human intervention.
Sorting is a task carried out by a machine that sorts objects. such as containers or heavy goods.
Traditional methods of sorting involved placing objects onto a conveyor and sorts only one
object at a time.
This method is time-consuming and expensive.
5. LITERATURE SURVEY
S.NO. AUTHOR AND
PUBLICATION
TITLE AND METHODS
1. Ch.Shravani, G. Indira,
V. Appalaraju(IJITEE
APRIL 2019)
Arduino Based Color Sorting Machine using
TCS3200 Color Sensor
2.
Amitesha Sachdeva1,
Mahesh Gupta2,
Manish Pandey3, (IJES
2017 APRIL)
Development Of Industrial Automatic Multi
Colour Sorting and Counting Machine Using
Arduino Nano Microcontroller and TCS3200
Colour Sensor
3.
K.Sasidhar1, Shahwar
Farooqi2, Mohammed
Abdul Moin3, M
Sachin4(PUBLISHED
BY IJRSI)
Design and Development of a Colour Sorting
Machine using PLC and SCADA
6. Proposed method:
This venture makes use of a simplified and not steeply-
priced technique for sorting the substances of a unique coloured items,
it's far sensing the colour of the object and kind out the different
coloured devices.
This proposal is based on colour sorting machine with
the increasing demand for small company, a cheap and less complex
design is an absolute need.
8. Explanation:
Microcontroller like arduino is control overall input and output of the objects
Step 1: first, put the different object in the hopper
Step2: second , rotating the top servo motor and detect the colour of the sensor
Step 3: third , rotating the bottom servo motor
Step 4: fourth, separate to colour based object
10. ADVANTAGE:
Time saving and efficient.
Increase in production capacity and quality
Decrease in total manufacturing cost
Less manual work
Easy analysis
Sorting based on both colour and shape
DISADVANTAGE:
High standard maintenance is required
Now product required completely reprograming
Complex and expensive equipment to buy to install
11. APPLICATION:
It is mainly used for food industry like
Rice Colour Sorter
Food Colour sorter
Coffee, nuts, oil crops etc
Belt Colour sorter
Corn Colour sorter
Sea product Colour sorter
Plastic Colour sorter
12. REFERENCE:
1. C. Zhang and adequate. S. Suslick, "Colorimetric sensor cluster for soda pop research", J.
Agric food Chem, vol fifty 5, pp 237-242, 2007.
2. P. D. Oram and J. Strine, "Shading estimation of a strong dynamic pharmaceutical fixing as a
guide to spotting key gadget Parameters", J. Pharm Biomed Anal, vol forty, pp 1021-1024, 2006.
3. M. Candid, Nobert Kaiser, Wolfgang Buss, Ramona Eberhardt, "speedy mechanical shading
and characteristic sensors, digital Imaging", pp 50-fifty seven, 1999.
4. A. Pacquit, J. Frisby, Danny Diamond, King Tong Lau, Alan Farrell, Brid Quilty, Dermot
Diamond, "improvement of a smart bundling for the checking of fish waste", meals Chem, vol
102, pp 466-470, 2007.
5. E. J. Cadieux Jr, "Framework and strategy for outwardly analyzing a cigarette bundling
gadget", ed: Google Patents, 2002.