Loading...
Please wait, while we are loading the content...
Similar Documents
Low Cost Machine Vision System for Sorting of Mechanical Parts using MATLAB & ARDUINO Embedded Hardware
| Content Provider | Semantic Scholar |
|---|---|
| Author | Senthilkumar, K. Kumar, R. Aswin Gunaseelan, Vikneswaran |
| Copyright Year | 2017 |
| Abstract | The main aim of this research work is to design and develop a low cost machine vision system and conveyor belt setup for automatic recognition and sorting of mechanical parts. In this project the algorithm for feature extraction and object detection has been developed and tested in MATLAB software environment. By using low cost web camera the image of the object has been captured. The control system for conveyor belt speed control and sorting mechanism has been developed by using Arduino hardware. From the result it is proved that the proposed system can able to detect, recognize and sorting of parts accordingly as required for the applications. Keywords—Machine Vision, Object Detection, Web Camera, Sorting, Conveyor, Automation Introduction In order to increase productivity, improve accuracy and to eliminate the human error, various automation techniques are being researched, developed and adopted in industries. One of the application of computer vision technology is machine vision. It is mainly focused on image based industrial automation tasks. Just as human inspectors working on assembly lines visually inspect parts to judge the quality of workmanship, so machine vision systems use digital cameras, smart cameras and image processing software to perform similar inspections [2]. A typical machine vision system’s integrates imaging devices with embedded systems to carryout industrial operations. The detailed inspection system of spur gears using machine vision system is presented in [3]. Most common applications of Machine vision system includes, checking the certain requirements of a test piece such as color [6], prescribed dimension, presence of components and serial number etc. Object sorting is one of the machine vision based industrial application. The proposed method includes four different tasks namely object identification, Image processing techniques, object selection and sorting mechanism. In this project Image processing operations are used to carry out the tasks such as object detection, feature extraction, identification and sorting of objects. MATLAB software is used to carry out the operations, since it includes a lot of image processing functions. In many food processing and packaging industries the object counting and sorting is the very important task that needs to be carry out. I. MACHINE VISION SYSTEM SETUP A. Arrangement The system contains web camera, lighting source, clamping device and PC. The web camera is used to capture the image of the object. The lighting source is used to get the image with good quality. Fig. 1 Machine Vision System Arrangement |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.ijrter.com/published_special_issues/31-03-2017/low-cost-machine-vision-system-for-sorting-of-mechanical-parts-using-matlab-arduino-embedded-hardware.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
