Papers by Keyword: Webcam

Abstract: There have been recent research interests in obtaining an optimum efficient design for the solar tracking system in published papers over the past three decades. This paper presents an in-depth overview of the assessment parameters and characteristics of various sensor devices employed to provide precise feedback control mechanism used in dynamic solar tracking systems. We found that the webcam sensor device has superior capability compared to other solar sensors devices. In conclusion, we propose a future research direction for a better efficiency and effective dynamic solar tracking system. Keywords: Solar tracking; Solar sensors; Solar panels; Overall output generated energy; Webcam; Photoresistors; Photodiodes; Feedback Control mechanism

Abstract: The webcams are installed on students’ LCD monitors to take, via an ordinary video processing program, the half-length pictures of students in a real-time manner whenever they are distracted from the class or not in their seats. Result shows that the grades of the students in the experiment group become less scattered. This means the difference among students’ grades have been reduced and students’ overall grades have also been improved.

Abstract: Face is the greatest superior biometric as the face has a complex, multidimensional and meaningful identity compared from one person to another. Face identification is executed by comparing the characteristics of the face (test image) with those of known individual images in the database. This paper describes the used of the Principal Component Analysis (PCA) algorithm for human face identification based on webcam image. The MATLAB is used as a tool for image processing and analysis. The important decision to identify the person is by the minimum distance of the face images and known face images in face space. From the results, it can be concluded that the work has successfully implemented the PCA algorithm for human face identification through a webcam.

Abstract: This paper reports the initial development and testing of an innovative technique for measuring rail displacements that combines remote video monitoring with particle image velocimetry (PIV). A webcam combined with a small telescope is used to monitor rail movements. Results from a laboratory trial, in which the movements of a hydraulic actuator were monitored, demonstrate that the system can measure the peak-to-peak displacements of the actuator to within 0.1mm from 15m away. Results from a section of railway track near Crewe are also reported.