Computer vision technology for real-time food quality assurance during drying process

2014 ◽  
Vol 39 (1) ◽  
pp. 76-84 ◽  
Author(s):  
Mortaza Aghbashlo ◽  
Soleiman Hosseinpour ◽  
Mahdi Ghasemi-Varnamkhasti
Keyword(s):  
Computer Vision ◽  
Quality Assurance ◽  
Real Time ◽  
Food Quality ◽  
Drying Process ◽  
Computer Vision Technology

scholarly journals A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Mengchao Zhang ◽  
Manshan Zhou ◽  
Hao Shi
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Conveyor Belt ◽  
Conveyor System ◽  
Load Detection ◽  
Speed Regulation ◽  
Computer Vision Technology ◽  
Belt Conveyors ◽  
Energy Saving Control ◽  
Load Perception

Real-time load detection method for belt conveyors based on computer vision is the research topic of this paper. A belt conveyor system equipped with cameras and a laser generator is used as the test apparatus. As the basis for conveyor intelligent speed regulation, two methods from different angles to perceive the load of conveyor belt were proposed, applied, and compared in this paper. Method 1 is based on the area proportion and method 2 is the detection based on laser-based computer vision technology. Laboratory experiments show that both methods can well detect the load on the conveyor belt. Method 2 is more economical and practical under the background of existing technology, also compared to the method 1, which provides a new idea and theoretical basis for the energy-saving control and intelligent development of the conveyor.

scholarly journals Real Time Tracking RGB Color Based Kinect

2017 ◽  
Vol 11 (3) ◽  
pp. 98
Author(s):  
Ahmed Mustafa Taha Alzbier ◽  
Hang Cheng
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Video Processing ◽  
Background Subtraction ◽  
Moving Objects ◽  
Blue Color ◽  
The Real ◽  
Color Recognition ◽  
Kinect Camera ◽  
Computer Vision Technology

As the present computer vision technology is growing up, and the multiple RGB color object tracking is considered as one of the important tasks in computer vision and technique that can be used in many applications such as surveillance in a factory production line, event organization, flow control application, analysis and sort by colors and etc. In video processing applications, variants of the background subtraction method are broadly used for the detection of moving objects in video sequences. The background subtraction is the most popular and common approach for motion detection. However , this is paper presents our investigation the first objective of the whole algorithm chain is to find the RGB color within a video. The idea from the beginning was to look for certain specific features of the patches, which would allow distinguishing red, green and blue color objects in the image. In this paper an algorithm is proposed to track the real time moving RGB color objects using kinect camera. We will use a kinect camera to capture the real time video and making an image frame from this video and extracting red, green and blue color .Here image processing is done through MATLAB for color recognition process each color. Our method can tracking accurately at 95% in real-time.

scholarly journals THE APPLICATION OF COMPUTER VISION FOR THE ESTIMATION OF SHRINKAGE AND DEFORMATION OF THIN MANGO SLICES DURING AIR DRYING PROCESS

2021 ◽  
Vol 11 (4) ◽  
pp. 44-55
Author(s):  
Nguyen Duc Trung ◽  
Pham Thanh Huong ◽  
Nguyen Ngoc Hoang ◽  
Dang Minh Hieu ◽  
Nguyen Nang Chat ◽  
...  
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Control Process ◽  
Digital Camera ◽  
Convective Drying ◽  
Drying Process ◽  
Size And Shape ◽  
Quality Control Process ◽  
Drying Conditions ◽  
Human Eyes

Computer vision has been currently a new trend in developing new tools for automatic real-time quality control process in food drying. During drying process, the size and shape of mango slides are critically changed. These changes usually determine the sensorial value of products, as well as which drying conditions would be needed to obtain the highest quality of dried products. In this study, we report on the development of a computer vision tool, requiring a normal digital camera installed, to evaluate the changes in size and shape of mango slides during the drying process. The technique is expected to replace the observation with human eyes to evaluate the changes of food products during the drying process, which might not be able to provide reliable and consistent judgements all the time. Image of drying mango slide is taken by a digital camera, then the feature extraction is implemented. The area of mango slice is determined by the area ratio via the pixel number counting and the comparison to an original sample with predefined reference size. The shrinkage deformation is evaluated by elliptical fitting to develop the automated utility. The utility is built on MATLAB platform. The variations in size and shape of the mango slices during a convective drying process with different processing conditions are examined and acquired by the built software which achieves real-time performance on the personal laptop.

Measurement of Work Piece Surface Quality Based on Digital Image Processing

2011 ◽  
Vol 101-102 ◽  
pp. 689-692
Author(s):  
Cheng Yu Wu ◽  
Fei Qing Wu ◽  
Hui Mei Yang
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Surface Quality ◽  
Digital Image Processing ◽  
Digital Image ◽  
Surface Flaw ◽  
Work Piece ◽  
Computer Vision Technology ◽  
Modern Image

This article discusses how to apply sensor mixture, modern image handle and computer vision technology to analyse and to deal with the feature messages of the ground work piece surface flaw, and computer how to apply the filtered feature messages to identify these flaws. Result shows that this system can find the defect work piece real time from the images for testing.

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