Weight based Object Shorting Automation System Using IoT based Application

Abstract

Now a day’s industrial area requires demand for automation. Due to automation human efforts are decreasing since last decade. Object sorting based on weight is difficult task in recent days. In industry there is rapidly increasing demand for automation. The Sorting of objects based on weight is very difficult task. This project gives us an idea about automatic colour sorting. Here we are designing and implementing an efficient sorting using laser sensor based on Arduino .This project gives high accuracy and performance. Easy to operate and construct which reduces human errors. Existing sorting method uses a set of inductive, capacitive and optical sensors do differentiate object based on weight.

Introduction

I. INTRODUCTION

Most of the industries have at least one conveyor system tomove or to separate the materials. The need to produce an automatic material separating conveyor is essential. Earlier many critics argued that automatic material separating system leads to failure, but due to the advancement of technology, reliable automatic system can be produced. Manual material separation system require more money, time and machines. It will lead to high cost. To reduce these wastage, many companies  started to adopt automation in the plant. If the industries use automation, it helps to increase rate of production, with smart utilization of space at lesser / reasonable rates. This automatic material removing conveyor system separate the material depending on their height. It contains an Node mcu , IR sensor, Weight sensor, servo motors, liquid crystal display. Overall, the system helps to ease movement and add more visibility  Sorting is necessary in industries where products are manufactured on large scale.

II. METHODOLOGY

This project work is for the food product manufacturing industry. Our project objective is to separate the 100 gms boxes  sorting machine which reduces human efforts and increases company productivity. We are working for the issue and have to give one small demo prototype as per the company requirements.  Here we are using load cell to measure the weight, for demo 100gms soap are accepted and below that are rejected. The servo motor use to rotate the selector plate after the conveyor belt for selected and rejected  The data of counting is send to the cloud server as well as the conveyor motor start and stop time we can monitor online

As shown in the diagram, NodeMCU  is used as wifi controller, ATtiny85 microcontroller is used to run the stepper motor for conveyor belt  after getting push button signal from nodemcu

IR sensor which sends signal to nodemcu to stop the servo motor when the soap is on the load cell, after getting the load cell value in grams if the soap is of 100gms then servo motor shaft rotate right side and soap will dispense on right side, if the  soap is of below 100gms then servo motor shaft moves on left side so rejected soaps will dispense on left side DISCUSSION -In the previous paragraphs it has been shown how an IoT application for belt conveyor systems like the smart idler concept can be developed using the characteristics of IoT systems and Big Data. Although the concept has been developed, and still is under further development, it has not yet been implemented in a large-scale belt conveyor. The main reason is the worldwide situation of the mining industry. The smart idler concept has been tested extensively underlaboratory conditions in all kind of different configurations and  the system works fine. The RFID sensor nodes in the meantime have been further developed to an economical viable concept.

However, in practice it is not always easy to convince the procurement department of a mine to invest in technology on forehand. Unexpected downtime of a largescale belt conveyor may costs up to $300,000.- If the idler rolls where the cause of this downtime then this could have been prevented by using the smart idler concept.

III. CALCULATIONS

The Speed of a Belt calculator computes the speed at which a linear length of belt travels around a pulley  based on the diameter (D)  of the pulley and the rotation rate (R).Belt

(D) Diameter of Pulley

(RPM) Rotation Rate

Belt Speed (BS): The calculator computes the belt speed in feet per second.  However, this can be automatically converted to other velocity units via the pull-down menu.

The formula for the speed of the belt  is: 

BS = (D •π • R)/(2π)  = ½•D•RPM where:

1. BS is the Belt Speed
2. D is the diameter of the pulley
3. RPM is the rotation rate (rpms) of the pulley

Here the D=2 and RPM = 30

So the conveyor belt speed is = 7.97 cm/sec 

IV. LITERATURE SURVEY

1. Development of a lemon sorting system based on color International Journal : African Journal of Plant Science Vol. 4(4), pp. 122-127, April 2010,  Author: M. Khojastehnazhand, M. Omid* and A. Tabatabaeefar
2. Automatic Material Sorting and Storing Machine using Arduino S.Siva Sai Kumar Reddy, R. Puviarasi. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-6S, August 2019

V. WORK

In this paper, an efficient algorithm for grading lemon fruits is developed and implemented in visual basic environment. The system consists of two CCD cameras, two capture cards, an appropriate lighting system, a personal computer and other mechanical parts. The algorithm initially extracts the fruit from the background. The samples of different grades of lemon are situated in front of the cameras and are

database. By comparing the information during sorting phase with the available information inside the database, the final grade of the passing fruits are determined 2] Orange Sorting by Applying Pattern Recognition on Colour Image  nternational Conference on Information Security & Privacy (ICISP2015), 11-12 December 2015 Author: Jyoti Jhawar With an aim to replace the manual sorting system, this paper proposes the research work for automated grading of Oranges using pattern recognition techniques applied on a single color image of the fruit.

In this paper, an efficient algorithm for grading lemon fruits is developed and implemented in visual basic environment. The system consists of two CCD cameras, two capture cards, an appropriate lighting system, a personal computer and other mechanical parts. The algorithm initially extracts the fruit from the background. The samples of different grades of lemon are situated in front of the cameras and are calibrated offline. Then information on the HSI color values and estimated volumes of fruits are extracted and saved in a database. By comparing the information during sorting phase with the available information inside the database, the final grade of the passing fruits are determined 2] Orange Sorting by Applying Pattern Recognition on Colour Image  nternational Conference on Information Security & Privacy (ICISP2015), 11-12 December 2015 Author: Jyoti Jhawar With an aim to replace the manual sorting system, this paper proposes the research work for automated grading of Oranges using pattern recognition techniques applied on a single color image of the fruit.

VI. ANCKNOWLEDGE

This project work is for the food product manufacturing industry. Our project objective is to separate the 100gms boxes sorting machine which reduces human efforts and increases company productivity.

We are working for the issue and have to give one small demo prototype as per the company requirements.Here we are using load cell to measure the weight, for demo 100gms soap are accepted and below that are rejected. The servo motor use to rotate the selector plate after the conveyor belt for selected and rejected. The data of counting is sent to the cloud server as well as the conveyor motor start and stop time we can monitor online.

VII. APPLICATIONS

1. Home appliances
2. Home automation
3. Smart plugs and lights
4. Industrial wireless control
5. Baby monitors
6. IP cameras
7. Sensor networks
8. Wearable electronics
9. Wi-Fi location-aware devices
10. Security ID tags
11. Wi-Fi position system beacons

VIII. RESULT

As we have to design the sorting mechanism the expected result is to sort the object as per the weight parameter The quantity of the selected and rejected products will be monitor online on the website cloud server  In the previous paragraphs it has been shown how an IoT application for belt conveyor systems like the smart idler  concept can be developed using the characteristics of IoT systems and Big Data.

Although the concept has been developed, and still is under further development, it has not yet been implemented in a large-scale belt conveyor.

The main reason is the worldwide situation of the mining industry. The smart idler concept has been tested extensively under laboratory conditions in all kind of different configurations and the system works fine.

The RFID sensor nodes in the meantime have been further developed to an eco-nomical viable concept. However, in practice it is not always easy to convince the procurement department of a mine to invest in technology on forehand.

Unexpected downtime of a large-scale belt conveyor may cost up to $ 300,000.  If the idler rolls where the cause of this downtime then this could have been prevented by using the smart idler concept.

The IoT application described in the previous paragraphs only concerned the idler rolls. There are however two other examples of a combination of the IoT and a BMHT system; a belt scraper system and the conveyor belt inspection system.

The IoT application described in the previous paragraphs only concerned the idler rolls. There are however two other examples of a combination of the IoT and a BMHT system; a belt scraper system and the conveyor belt inspection system

References

[1] Automatic Material Separating Conveyor, IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 3 Issue 12, December 2016 ISSN (Online) 2348 – 7968 | Impact Factor (2015) [2] ARDUINO BASED OBJECT SORTING, International Journal Of Innovations in Engineering Research And Technology [IJIERT], ISSN: 2394-3696 2 nd National Conference on Modern Trends in Electrical Engineering (NCMTEE-2K18) 30-31st March-2018 [3] Development Of Industrial Automatic Multi Colour Sorting and Counting Machine Using Arduino, The International Journal of Engineering and Science (IJES) || Volume || 6 || Issue || 4 || Pages || PP 56-59 || 2017 | [4] www.arduino.cc [5] www.github.com [6] Darrow, B. (2015), “Canary in a coal mine”, Fortune, August 1, 2015, page 14. [7] Spekreijse, M.D. (2016), “IoT and Big Data in Transport Systems”, Report number 2016.TEL.7996, Delft University of Technology. [8] Evens, D. (2011), “The Internet of Things – How the Next Evolution of the Internet is Changing Everything”, Cisco White Paper, (April), 1–11. [9] Ashton, K. (2009), “That “Internet of Things” Thing”, RFiD Journal 4986, Retrieved from http://www.itrco.jp/libraries/ RFIDjourna -That Internet of Things

Copyright

Copyright © 2023 Rohini Sutey, Shivani Kamble, Ritik Tembhurne, Rushikesh Sonare, Abhishek Labhane, Dr. Tarun Shrivastava. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.