scholarly journals Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment

2021 ◽  
Vol 7 (9) ◽  
pp. 170
Author(s):  
Chengzhang Zhong ◽  
Amy R. Reibman ◽  
Hansel A. Mina ◽  
Amanda J. Deering
Keyword(s):  
Computer Vision ◽  
Hand Hygiene ◽  
Detection System ◽  
Vision System ◽  
Poor Performance ◽  
Food Handling ◽  
Baseline System ◽  
Safe Food ◽  
Vision Application

Hand-hygiene is a critical component for safe food handling. In this paper, we apply an iterative engineering process to design a hand-hygiene action detection system to improve food-handling safety. We demonstrate the feasibility of a baseline RGB-only convolutional neural network (CNN) in the restricted case of a single scenario; however, since this baseline system performs poorly across scenarios, we also demonstrate the application of two methods to explore potential reasons for its poor performance. This leads to the development of our hierarchical system that incorporates a variety of modalities (RGB, optical flow, hand masks, and human skeleton joints) for recognizing subsets of hand-hygiene actions. Using hand-washing video recorded from several locations in a commercial kitchen, we demonstrate the effectiveness of our system for detecting hand hygiene actions in untrimmed videos. In addition, we discuss recommendations for designing a computer vision system for a real application.

scholarly journals Measurement of Gem Colour Using a Computer Vision System: A Case Study with Jadeite-Jade

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 791
Author(s):  
Sufei Zhang ◽  
Ying Guo
Keyword(s):  
Computer Vision ◽  
Regression Model ◽  
Vision System ◽  
Expert Group ◽  
Group Test ◽  
System A ◽  
Real Objects ◽  
Practical Tool ◽  
Almost All

This paper introduces computer vision systems (CVSs), which provides a new method to measure gem colour, and compares CVS and colourimeter (CM) measurements of jadeite-jade colour in the CIELAB space. The feasibility of using CVS for jadeite-jade colour measurement was verified by an expert group test and a reasonable regression model in an experiment involving 111 samples covering almost all jadeite-jade colours. In the expert group test, more than 93.33% of CVS images are considered to have high similarities with real objects. Comparing L*, a*, b*, C*, h, and ∆E* (greater than 10) from CVS and CM tests indicate that significant visual differences exist between the measured colours. For a*, b*, and h, the R2 of the regression model for CVS and CM was 90.2% or more. CVS readings can be used to predict the colour value measured by CM, which means that CVS technology can become a practical tool to detect the colour of jadeite-jade.

scholarly journals Measurement-Based Power Optimization Technique for OpenCV on Heterogeneous Multicore Processor

Symmetry ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1488 ◽  
Author(s):  
Hyeonseok Jung ◽  
Kyoseung Koo ◽  
Hoeseok Yang
Keyword(s):  
Computer Vision ◽  
Design Space Exploration ◽  
Design Space ◽  
Optimization Technique ◽  
Multicore Processor ◽  
Heterogeneous Multicore ◽  
Canny Edge ◽  
Computer Vision Applications ◽  
Vision Application

Today’s embedded systems often operate computer-vision applications, and are associated with timing and power constraints. Since it is not simple to capture the symmetry between the application and the model, the model-based design approach is generally not applicable to the optimization of computer-vision applications. Thus, in this paper, we propose a measurement-based optimization technique for an open-source computer-vision application library, OpenCV, on top of a heterogeneous multicore processor. The proposed technique consists of two sub-systems: the optimization engine running on a separate host PC, and the measurement library running on the target board. The effectiveness of the proposed optimization technique has been verified in the case study of latency-power co-optimization by using two OpenCV applications—canny edge detection and squeezeNet. It has been shown that the proposed technique not only enables broader design space exploration, but also improves optimality.

2D tree crops training system improve computer vision application in field: a case study

2021 ◽  
Author(s):  
Gianmarco Bortolotti ◽  
Kushtrim Bresilla ◽  
Mirko Piani ◽  
Luca Corelli Grappadelli ◽  
Luigi Manfrini
Keyword(s):  
Computer Vision ◽  
Training System ◽  
Tree Crops ◽  
Vision Application

A Cutting Line Positioning and Defects Detection System for Polyurethane Plate Based on Computer Vision

2012 ◽  
Vol 562-564 ◽  
pp. 119-122 ◽  
Author(s):  
Ji Li Lu ◽  
Ming Xing Lin
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Detection System ◽  
Vision System ◽  
Experimental Results ◽  
Original Image ◽  
Computer Vision System ◽  
Gray Image ◽  
Cutting Line ◽  
Main Defect

In this paper, we present a design of a real-time computer vision system for polyurethane plate cutting line positioning and defects detection. The main defect of polyurethane plate is uneven texture which doesn’t meet the product requirements. We translate the original image to gray image and find the points with strongest gray as the cutting line, extract feathers and detect defects. The experimental results show that it is easy and effective to position cutting points and find defects of polyurethane plate, which can meet the requirements of production and has great practical value.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

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