Computer Vision based Automation System for Detecting Objects

Abstract

Software Quality Assurance Testing time computer vision based automation tools are used to test the window based application and window based application is combined of many objects. Among them most of the automation tool detect window objects by comparing images. Most of the objects are visible in the window screen but some objects which are not visible to the screen at the first time. Proper interaction with the window application hidden objects get visible to the screen like dropdown list item, editor text object, list box item and slider. With the automation tools these hidden objects cannot be searched directly. In this paper proposes some methods which will enhance the automation tools to access the window application hidden objects.

Effortless Test Maintenance: A Critical Review of Self-Healing Frameworks

“…In the various sectors and situations mentioned, web-based automation frameworks that possess the capability of self-repair bring forth advantages such as a decrease in the burden of test maintenance, an enhancement in the efficacy of testing, and an amelioration in test coverage (Anam & Haque, 2014). These frameworks empower organizations to stay in alignment with the ever-changing characteristics of web applications, all the while guaranteeing the dependability and efficacy of their automated testing procedures.…”

An Efficient Scheme of Deep Convolution Neural Network for Multi View Face Detection

“…Face detection is the first step in any face recognition system. Detecting face is well studied problem in the computer vision [28,29]. Contemporary detectors of the face can effortlessly identify near front faces.…”