International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 09| Sep 2020 www.irjet.net p-ISSN: 2395-0072 Design and Construction of Optical Sortex Machine Shubham Joshi 1 , Onkar Kamble 2 , Santosh Yadav 3 , Sanjay Zite 4 , Prof. Mahesh Kawade 5 1-4 Mechanical Engineering, PES Modern College of Engineering (India) 5 Prof., Department of Mechanical Engineering, PES Modern College of Engineering (India) -----------------------------------------------------------------------***-------------------------------------------------------------------------- Abstract - For future development of automated sensor- based sorting in the mining industry, an improvement in the separation efficiency of the equipment is desirable. This could be achieved through a better understanding of the identification and separation aspects of the automated sorter. For automated sorters that undertake separation through the use of compressed air jets, the problem of poor separation efficiency has been linked with co-deflection losses. Co- deflection losses occur as particles meant to pass on to the ‘accept’ bin are co-deflected with the particles (which are to be deflected) meant to go to the ‘reject’ bin. To study co-deflection losses and suggest means of improving automated sorter separation efficiency, this research investigates the effects of particle size, shape, throughput, together with the proportion of particles (out of the total test batch) required to be deflected on separation efficiency. The effect of the air valve configuration on separation efficiency was also studied. Key Words: Raspberry pi, IR SENSOR, Co-deflection losses, efficiency, 1. INTRODUCTION Dimensions usually measurement of an object in length, width and height. The length, width, and height of the parcel box, there will be a multiplication program is used to obtain the result of volume. Therefore, contour-based object detection can be applied for automatic sorting system to measurement volume of an object in computer vision based. Color and size are the most important features for accurate classification and sorting of citrus. It is in this context that the field of automatic inspection and machine vision comes in to play the important role of quality control for agricultural products. Fruit size estimation is also helpful in planning packaging, transportation and marketing operations. Among the physical attributes of agricultural materials, volume, mass and projected areas are the most important ones in sizing systems To study the probability of composite formation, it was necessary to measure the average area a particle occupies on the belt and use this information to determine the area of the belt that two or more particles would occupy. To ensure that the particles do not rest on top of each other approximately 1000 particles of each size and shape fraction was passed one- by-one over the automated sorter. The particle characteristics such as size and surface area were obtained from the image processing analyzer of the automated sorter. 2. HARDWARE DESCRIPTION 2.1 RASPBERRY PI 512 Mb with a nice black plastic case: The Raspberry Pi is a low cost, credit-card sized computer that plugs into a computer monitor or TV, and uses a standard keyboard and mouse. It has the ability to interact with the outside world, and has been used in real time applications. This board is the central module of the whole embedded image capturing and processing system as given in figure. Its main parts include: main processing chip, memory, power supply HDMI Out, Ethernet port, USB ports and abundant global interfaces. Fig -1: Raspberry pi module The Raspberry Pi is a credit-card-sized single-board computer developed in the UK by the Raspberry Pi Foundation. The Raspberry Pi has a Broadcom BCM2835 system on a chip which includes an ARM1176JZF 700 MHz processor Video Core IV GPU and was originally shipped with 256 megabytes of RAM, later Upgraded to © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 920