Picking Operation Analysis System Using Image Recognition

2021 ◽  
Vol 2021 (0) ◽  
pp. 1P1-D01
Author(s):  
Tomoe OZEKI ◽  
Tetsuya MOURI ◽  
Takumi SHIBUYA
Keyword(s):  
Image Recognition ◽  
Operation Analysis ◽  
Analysis System

A real-time operation analysis system for distribution networks

2008 ◽  
Vol 78 (3) ◽  
pp. 346-352 ◽  
Author(s):  
D.P. Bernardon ◽  
G. Iop ◽  
M.D. Gundel ◽  
J. Fernandes
Keyword(s):  
Real Time ◽  
Distribution Networks ◽  
Operation Analysis ◽  
Time Operation ◽  
Real Time Operation ◽  
Analysis System

Eye Movement Analysis System Using Computerized Image Recognition

1990 ◽  
Vol 116 (3) ◽  
pp. 338-341 ◽  
Author(s):  
S. Yamanobe ◽  
S. Taira ◽  
T. Morizono ◽  
T. Yagi ◽  
T. Kamio
Keyword(s):  
Eye Movement ◽  
Image Recognition ◽  
Movement Analysis ◽  
Eye Movement Analysis ◽  
Analysis System

Design of a smart grid dispatching operation analysis system based on data mining

2017 ◽  
pp. 401-405
Author(s):  
Jie Li ◽  
Kunpeng Wang ◽  
Yaling Yu ◽  
Handan Tan ◽  
Yi Tang
Keyword(s):  
Data Mining ◽  
Smart Grid ◽  
Operation Analysis ◽  
Analysis System

Automatic Fibre Fineness Analysis System Based on Image Recognition

2011 ◽  
Vol 332-334 ◽  
pp. 1404-1407 ◽  
Author(s):  
Xiao Min Cheng ◽  
Zhong Kun He ◽  
Xu Dong Zheng ◽  
Ya Fen Zhu
Keyword(s):  
Image Recognition ◽  
Imaging System ◽  
Canny Operator ◽  
Microscopy Imaging ◽  
Problems And Solutions ◽  
Fibre Fineness ◽  
Analysis System ◽  
And Control ◽  
Image Collection ◽  
Single Pixel

The research based on fibre fineness analysis system of image, discussing the hardware and software problems and solutions in system building. The system be composed of optical and microscopy imaging, image collection and analysis, drives and control of workbench and measurement accessories. Through the microscopy imaging system, the fibre transforms into original image on the workbench, receiving digital image through image collection, further completing detection through proceeding image recognition, contour tracking, analysis and calculation etc. The key is proceeding the research that how to proceed edge detection to form single pixel edge adopting canny operator , extracting fibre image successive edge adopting eight directions search.

scholarly journals Architecture And Technical Realization Of Operation Analysis System Based On Multidimensional Data Of Power Plant

2021 ◽  
Author(s):  
Geliang Bai ◽  
Hao Zhang ◽  
Xiaojia Liu ◽  
Baoping Wang ◽  
Lixing Cao
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Machine Learning Algorithms ◽  
Multidimensional Data ◽  
Risk Level ◽  
System Operation ◽  
Weak Point ◽  
Repair Work ◽  
Operation Analysis ◽  
Analysis System

Abstract Flexible analysis and use of multi-source data from power plants to accurately predict system failures and scan potential risks are of great significance for achieving efficient and accurate system operation analysis and decision-making. The article introduces the overall architecture and function design of a system operation analysis system based on massive data and demonstrates the functions and operation analysis results of each module of the system through application examples. The system integrates system data such as plant load information, equipment layout, (automation) electrical equipment control, signal and measurement systems, and relay protection configuration, and uses improved machine learning algorithms and weak point identification methods to expand the correlation analysis of target data. The function of fault risk level prediction and weak point identification is conducive to the power plant operation and maintenance management department to propose corresponding technologies and management methods for operation, maintenance, and repair work, which improves the scientificity and practicability of the existing analysis system. It has laid the foundation for the realization of informatization, intelligence, and lean operation analysis.

Automated Image Analysis Of Nuclear And Cytoplasmic Changes In Exfoliated Cells From Tracheas Treated With Carcinogen

1977 ◽  
Vol 35 ◽  
pp. 220-221
Author(s):  
S.F. Stinson ◽  
J.C. Lilga ◽  
M.B. Sporn
Keyword(s):  
Image Analysis ◽  
Pattern Analysis ◽  
Relative Proportion ◽  
Automated Image Analysis ◽  
Image Analyzer ◽  
Cross Sectional ◽  
Exfoliated Cells ◽  
Neoplastic Lesions ◽  
Analysis System ◽  
Morphologic Criterion

Increased nuclear size, resulting in an increase in the relative proportion of nuclear to cytoplasmic sizes, is an important morphologic criterion for the evaluation of neoplastic and pre-neoplastic cells. This paper describes investigations into the suitability of automated image analysis for quantitating changes in nuclear and cytoplasmic cross-sectional areas in exfoliated cells from tracheas treated with carcinogen.Neoplastic and pre-neoplastic lesions were induced in the tracheas of Syrian hamsters with the carcinogen N-methyl-N-nitrosourea. Cytology samples were collected intra-tracheally with a specially designed catheter (1) and stained by a modified Papanicolaou technique. Three cytology specimens were selected from animals with normal tracheas, 3 from animals with dysplastic changes, and 3 from animals with epidermoid carcinoma. One hundred randomly selected cells on each slide were analyzed with a Bausch and Lomb Pattern Analysis System automated image analyzer.

Digital Processing of STEM Images

1981 ◽  
Vol 39 ◽  
pp. 236-237
Author(s):  
A. V. Crewe ◽  
M. Ohtsuki
Keyword(s):  
High Resolution ◽  
Low Dose ◽  
Assembly Language ◽  
Processing System ◽  
Principal Component ◽  
Digital Processing ◽  
Image Analysis System ◽  
Black And White ◽  
Analysis System ◽  
Dose Imaging

We have assembled an image processing system for use with our high resolution STEM for the particular purpose of working with low dose images of biological specimens. The system is quite flexible, however, and can be used for a wide variety of images.The original images are stored on magnetic tape at the microscope using the digitized signals from the detectors. For low dose imaging, these are “first scan” exposures using an automatic montage system. One Nova minicomputer and one tape drive are dedicated to this task.The principal component of the image analysis system is a Lexidata 3400 frame store memory. This memory is arranged in a 640 x 512 x 16 bit configuration. Images are displayed simultaneously on two high resolution monitors, one color and one black and white. Interaction with the memory is obtained using a Nova 4 (32K) computer and a trackball and switch unit provided by Lexidata.The language used is BASIC and uses a variety of assembly language Calls, some provided by Lexidata, but the majority written by students (D. Kopf and N. Townes).

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