IOT based object sorting machine

Project Title

IOT based object sorting machine

Project Area of Specialization Internet of ThingsProject Summary

There is a wide usage of many products in our day-to-day life, and manufacturing of these products is done in many large-scale and small-scale industries.  Arranging makes quality consistency an issue. Nowadays the main difficulty that is faced after the production is of sorting Arranging items in an industry is a dull modern process, which is by and large done physically. Consistent manual the need for this type of machine in the industries will help in sorting the machine according to their weight, size, color, shape, etc. The color sorting machine is mainly a device that can sense the different colors of an object and assert them onto different belt conveyors. When an object moves from one place to another with the rotation of the conveyor belt, sensors as the input devices will send a signal to the microcontroller, where the controller will take action. The suggested framework will be a demo rendition that gives expense effective, takes less time, and is technically the easiest way for differentiating objects. This framework utilizes Arduino Uno which makes this model simple to utilize and is more additional effective. The main failure will be caused if the sensing of objects according to color is not done. Therefore, it is very important to have proper and checked sensors. Further, making desirable changes can be used in small-scale and large-scale industries as well.

Project Objectives

The system uses sensors to identify and sort items on the basis of color and weight into different bins. Using IoT the system is made fully automated since it maintains the database of items to be sorted and keeps track of the same. We use python language for image processing and to define the data set.

The main tasks are performed by the sensing section.

• Detection of objects based on weight
• Recognition of color.
• To count and display the count of the object.

Project Implementation Method

1. The framework utilizes Arduino associated with a controller circuit to accomplish this undertaking from the monitoring screen.
2. C is the language that is used in most of the applications of IoT. And since here Arduino-based high-performance system is used which understands the C language very clearly and specifically, algorithms and code have been made in this language.
3. After that machine learning process is start where through  coding  and different algorithm the machine is trained to differentiate the  product  on the bases of color and weight, some colors values are initialized to machine through code and parameter through which machine identify the quality of product.
4. The power supply controller comprises of a color sensor and a load cell joined to it that recognizes colors and weight of an item before it.
5. The power supply is used to operate the servo motor, so that the product is passes through the respective mechanism.
6. After that a feeder is used which helps to push the item near the containers so that it may get arrange and then the next item is collected by the feeder. Along these lines, totally mechanized IOT based color and quality sorting framework is arranged and executed.
7. As when we put any product in feeder, when it passes through sensors, the object detection is done by Arduino based high performance system and shows the result in monitoring screen as well as sort the given product.

Benefits of the Project

The main idea was to provide a single platform for all the different weights and colored products which would decrease the workspace and labor costs. We want to design and developed a prototype smart machine that will identify the agricultural products based on their colors and weight and also count the quantity of the product. The main tasks are performed by the sensing section.

1. Detection of objects based on weight
2. Recognition of color.
3. To count and display the quantity of the object.

Technical Details of Final Deliverable

The system initially uses hardware components like Arduino UNO acts as the brain of the system and processes the data from the sensor, a color sensor that will detect the color of a product, and a servo motor that can rotate approximately 180 degrees. a load cell that will measure the weight of a product and an LCD is used to display the results. As we are using Arduino UNO which is programmed using the Arduino Software (IDE), our Integrated Development Environment common to all our boards and runs both online and offline.

Final Deliverable of the Project HW/SW integrated systemCore Industry ManufacturingOther Industries Agriculture , Food Core Technology Internet of Things (IoT)Other Technologies Artificial Intelligence(AI)Sustainable Development Goals Affordable and Clean Energy, Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and ProductionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
LOAD CELL SENSOR 5kg	Equipment	2	5210	10420
Arduino	Equipment	2	1900	3800
Servo Motor	Equipment	4	350	1400
LCD display	Equipment	2	1560	3120
11MM HOT MELT GLUE STICKS	Equipment	2	985	1970
12 X 12MM X 7.5MM PUSH BUTTON	Equipment	2	500	1000
18650 LITHIUM ION CELL	Equipment	2	625	1250
2 PIN SM JST CONNECTOR	Equipment	2	520	1040
2 POINT QUICK CONNECTOR CABLE CLAMP TERMINAL BLOCK SPRING CONNECTOR	Equipment	2	2040	4080
2FT BRAID SOLDER REMOVER WICK	Equipment	2	185	370
2MM HEAT SHRINK SLEEVE	Equipment	2	560	1120
2X 18650 CELL BATTERY HOLDER	Equipment	2	190	380
30CM PIN TO HOLE ARDUINO JUMPER WIRE DUPONT	Equipment	2	350	700
3296W MULTITURN VARIABLE RESISTOR POTENTIOMETER TRIMMER RESISTOR 1	Equipment	2	1581	3162
4MM HEAT SHRINK SLEEVE	Equipment	2	35	70
ANALOG TO DIGITAL CONVERTER PRESSURE SENSOR	Equipment	2	950	1900
J5019 LI ION CHARGER WITH 4.5 TO 24 VOLTS BOOST MODULE	Equipment	1	1120	1120
KCD-107 SPST ROUND ROCKER SWITCH BUTTON	Equipment	3	120	360
KY-018 LDR LIGHT SENSOR MODULE	Equipment	2	40	80
SEALANT EPOXY ADHESIVE GLUE	Equipment	3	2610	7830
SOLDERABLE WIRE (10m)	Equipment	12	60	720
TCS3200 COLOR SENSOR MODULE	Equipment	2	380	760
VERO BOARD BREADBOARD JUMPER CABLE	Equipment	2	180	360
DUPONT WIRE ELECTRONIC WIRES	Equipment	15	20	300
VEROBOARD DOTTED SMALL STRIPBOARD	Equipment	1	50	50
Acrylic sheets	Equipment	10	1550	15500
cutting machine	Equipment	1	3000	3000
IR sensor	Equipment	1	60	60
wire connector	Equipment	4	120	480
wire cutter	Equipment	1	610	610
solding wire	Equipment	2	50	100
solding iron	Equipment	1	1700	1700
glue gun	Equipment	1	750	750
moding form	Equipment	1	170	170
screw driver	Equipment	1	268	268
printing documents	Miscellaneous	3	1850	5550
shiping	Miscellaneous	5	890	4450