International Journal of Engineering Research

Priyanka Choudhary ¹, Rohit Anand ¹

Affiliations
1 Kurukshetra University, N.C. College of Engineering and Technology, Panipat, Haryana, IN

Abstract

Most of industries and bridges around us make use of iron for manufacturing their products. On the other hand corrosion is a natural process that deteriorates the integrity of iron surface. Therefore, rusting of iron takes place. To avoid unwanted accidents in industries and bridges, it is necessary to detect rusting in earlier stage, so that it can be prevented. Digital image processing for the detection of the rusting provides fast, accurate and objectives results. In this research paper, we have done a systematic review of algorithms that help us to detect the rust area from a metal (iron).it has been found that most of researches are bring their images, processing series in usage for this purpose due to its simplicity in implementing and due to fact the images help capturing the visual inspection process easily and due to the ground teeth. The image processing techniques explored by other peoples based on in-depth analysis, we have also proposed a novel technique to overcome the limitation.

Keywords

Rust Detection, Visual Inspection, Image Processing.

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Preeti Saini ¹, Rohit Anand ²

Affiliations
1 Deptt. of ECE, Kurukshetra University, N.C. College of Engineering and Technology, Panipat, Haryana, IN
2 Department of ECE, Kurukshetra University, Panipat, Haryana, IN

Abstract

In this research paper, we have explored the algorithms/techniques that help in the detection of types of defects (Flash, Warping, Bubbles, Unfilled sections, Sink marks and Ejector marks) that may occur during the manufacturing process of plastic gears. Due to the inherent properties (moisture, absorption, temperature, pressure etc.) of the material (acetal resins such as DELRIN, Duracon M90; nylon resins such as ZYTEL, NYLATRON, MC901 and acetal copolymers such as CELCON.) used in manufacturing of plastic gears, and based on the analysis of previous methods we have drawn some conclusive facts, from which we have proposed image processing and computer vision technique which can be implemented for better results in terms of accuracy of such detects.

Keywords

Defect Detection, Computer Vision, Image Processing.

Full Text

   

Priyanka Choudhary ¹, Rohit Anand ²

Affiliations
1 Deptt. of ECE, Kurukshetra University, N.C. College of Engineering and Technology, Panipat, Haryana, IN
2 Department of ECE, Kurukshetra University, Panipat, Haryana, IN

Abstract

Most of industries and bridges around us make use of iron for manufacturing their products. On the other hand corrosion is a natural process that deteriorates the integrity of iron surface. Therefore, rusting of iron takes place. To avoid unwanted accidents in industries and bridges, it is necessary to detect rusting in earlier stage, so that it can be prevented. Digital image processing for the detection of the rusting provides fast, accurate and objectives results. In this research paper, we have done a systematic review of algorithms that help us to detect the rust area from a metal (iron). It has been found that most of researches are bring their images, processing series in usage for this purpose due to its simplicity in implementing and due to fact the images help capturing the visual inspection process easily and due to the ground teeth. The image processing techniques explored by other peoples based on in-depth analysis, we have also proposed a novel technique to overcome the limitation.

Keywords

Rust Detection, Visual Inspection, Image Processing.

Full Text