International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
GEOMETRICAL INSPECTION OF BRAZE DRILL BIT BY IMAGE PROCESSING Prof. Vaibhav.S.Kamble1, Prof. Abhijeet K Mandave2 , Abhijeet Khanderao Gaikwad3 , Bhushan Nathu Gajare4 Aniket Gangadhar Jadhav5, Arun Sitaram Kank6 12
Assistant Professor Dept. of Mechanical Engineering, Vishwaniketan iMEET, Khalapur, Maharashtra, India 3456 Student Dept. of Mechanical Engineering, Vishwaniketan iMEET, Khalapur, Maharashtra, India
---------------------------------------------------------------------***--------------------------------------------------------------------products. In this study we propose to perform the quality test using Image Processing techniques. This recent decades in an industry. After manufacturing product; to make decision about rejecting or accepting of lot is taken is way we can increase speed and accuracy of by measuring various quality parameters. To measures inspection and reduce human error which comes in geometrical parameters such as dimensions of manually inspection. manufactured product inspection is done manually by using The purpose of this project is to develop a traditional instruments in almost all manufacturing Geometrical inspection system to perform an on-line industries. Manual inspection is time taking process, costly; dimensions inspection that helps to find (out-ofsometimes it may have error and due to complicated shapes tolerance) products from the production line. It is of product is very difficult. To overcome these problems applied to inspect 2-D machined products of know product is inspected by use of image processing techniques. tolerances. In this paper geometrical inspection of braze drill bit has The system design covers the following aspects to been carried out by concentrating on the parameters of bit image object. We have used MATLAB tool and development perform quality control: code which overcome measurement problems of various bit Developing an active and simple optical parameters .To accomplish this task we have measured system to acquire images of inspected angle, length of image object. The experimental results have products. been shown in this paper. Applying image processing tools to make decision about accepting/rejecting inspected Key Words: Braze drill bit, Measurement, Edge product detection, Image Processing. After transmitting images to the computer, 1. INTRODUCTION approaches based on image processing are applied to Image processing is one of the most increasing areas extract their features. Back propagation neural now days. By converting analog image into the digital network is used to distinguish between within and system and using digital image processing technique out-of-tolerance products; and consequently it is possible to extract various features from the accept/reject the inspected product. The results will image [1]. For visual inspection we use the digital be compared, (MSE) introduced by Hassan and Diab camera, fixed fixture and computer. The image is [7]. capture by camera, fed into the computer for further processing. Edge detection is use to simplify the 2. LITERATURE SURVEY analysis of images and reduce the amount of a data. 1. N. Yogesh Bagrecha et al.,(2014) - A The task is to find the faulty piece by comparing the major area of imaging is in automated visual user requirements. Also in some industries inspection of manufactured goods. Detecting inspection is carried out by manually method testing anomalies is the major task of this proposed is done by a human eye wherein human observes the idea. This study proposes the detection of shape and size of the products coming out of the faulty pieces using Image Processing product line. In many industries, quality of products Techniques and overcomes the weaknesses is tested by using measuring instrument. The product in the existing system[2]. is fitted onto the measuring instrument and if it the 2. E. R. Davies, (1998) - Checking whether the does not fit appropriately then the product dimensions of a product are within specified considered to be faulty, is this way of performing a tolerances and the products have the correct test manually is a tedious process and prone to shapes are ordinary tasks for industrial human errors which reduce the quality of the
Abstract - Automation is very important factor from
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