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Komati, R. D.
- A Review of Automated and Intelligent Visual Inspection Using Vision System
Abstract Views :175 |
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Authors
Affiliations
1 MIT College of Engineering, Pune, IN
1 MIT College of Engineering, Pune, IN
Source
Digital Image Processing, Vol 7, No 3 (2015), Pagination: 79-84Abstract
Inspection is the process of checking something against predefined set of rules and criteria. In Visual Inspection object under test is inspected based on its image captured. Visual inspection is performed to check whether object under inspection satisfies certain criteria, rules. Visual inspection based on machine vision, automatic and intelligent visual inspection systems are used for various application areas and various types of industries. It is very efficient option for inspection in mass production industries. In most of industries for quality control, quality verification inspection of products at different stages is performed. Visual Inspection System are used instead of human inspectors or along with human inspectors to perform task of inspection in many industries. The Visual Inspection System will use an image of an object under test and it will perform operation of inspection based on features extracted from image. Inspection operation will generate results which will indicate whether object under inspection is faulty or fulfills requirement. These systems helps in automation of inspection process, but these systems must be smart and intelligent for efficient, general purpose operation. In this paper review of different automatic and intelligent visual inspection systems and techniques used in them will be discussed. Techniques for different application area will be discussed and summary of them is presented.Keywords
Visual Inspection, Vision System, Machine Vision, Visual Inspection Operations.- Drowsiness Fatigue Detection of Driver in Real Time
Abstract Views :138 |
PDF Views:3
Authors
Affiliations
1 MIT College of Engineering, Pune, IN
1 MIT College of Engineering, Pune, IN
Source
Digital Image Processing, Vol 6, No 7 (2014), Pagination: 306-312Abstract
Nowadays, driver drowsiness is very big issue for the road accident and which causes serious deaths and severe injuries. There are plenty of methods to detect driver drowsiness or drowsiness fatigue. Our focus point for this paper is to present a fatigue of drowsiness detection. Here we are detecting the eye location of the driver. When driver’s eye closed for more than predefined time then the driver is supposed to be said feeling drowsy and then an alarming condition is activated.