Research on Empty Bottle Image Inspecting System Based on Machine Vision

2013 ◽  
Vol 756-759 ◽  
pp. 686-689
Author(s):  
Hong Jun Sun
Keyword(s):  
Machine Vision ◽  
High Speed ◽  
Detection Algorithm ◽  
Visual Sensor ◽  
Spatial Moments ◽  
Alignment System ◽  
Automatic Alignment ◽  
Important Means ◽  
Speed And Accuracy ◽  
Empty Bottle

Characterized with auto inspecting ability, high-speed and accuracy, machine vision technology is one of the most important means in medicine packaging and food processing industries. A structural system based on PC, DSP and visual sensor is presented in this paper. A sub pixel edge detection algorithm in image processing for high precision automatic alignment system which was an urgent problem on the actual machine vision field. The algorithm uses the spatial moments to detect the location of the edge in sub-pixel which improved the analysis speed and optimized the application of the whole system.

Automatic alignment system for optical lithography based on machine vision

2009 ◽  
Author(s):  
Tao Huang ◽  
Shiyuan Liu ◽  
Pengxing Yi ◽  
Tielin Shi
Keyword(s):  
Machine Vision ◽  
Optical Lithography ◽  
Alignment System ◽  
Automatic Alignment

To develop a high speed auto-alignment system by dual machine vision based alignment system

2013 ◽  
Author(s):  
Chun-Jen Chen ◽  
Wenyuh Jywe ◽  
Yunfeng Teng ◽  
Yi-Ju Chen ◽  
Min-Wei Hung
Keyword(s):  
Machine Vision ◽  
High Speed ◽  
Alignment System

scholarly journals A New Method to Verify the Measurement Speed and Accuracy of Frequency Modulated Interferometers

2021 ◽  
Vol 11 (13) ◽  
pp. 5787
Author(s):  
Toan-Thang Vu ◽  
Thanh-Tung Vu ◽  
Van-Doanh Tran ◽  
Thanh-Dong Nguyen ◽  
Ngoc-Tam Bui
Keyword(s):  
Phase Change ◽  
High Speed ◽  
Measurement Accuracy ◽  
Slow Motion ◽  
New Method ◽  
Virtual Displacement ◽  
Electro Optic ◽  
Lock In ◽  
Speed And Accuracy ◽  
Electro Optic Modulator

The measurement speed and measurement accuracy of a displacement measuring interferometer are key parameters. To verify these parameters, a fast and high-accuracy motion is required. However, the displacement induced by a mechanical actuator generates disadvantageous features, such as slow motion, hysteresis, distortion, and vibration. This paper proposes a new method for a nonmechanical high-speed motion using an electro-optic modulator (EOM). The method is based on the principle that all displacement measuring interferometers measure the phase change to calculate the displacement. This means that the EOM can be used to accurately generate phase change rather than a mechanical actuator. The proposed method is then validated by placing the EOM into an arm of a frequency modulation interferometer. By using two lock-in amplifiers, the phase change in an EOM and, hence, the corresponding virtual displacement could be measured by the interferometer. The measurement showed that the system could achieve a displacement at 20 kHz, a speed of 6.08 mm/s, and a displacement noise level < 100 pm//√Hz above 2 kHz. The proposed virtual displacement can be applied to determine both the measurement speed and accuracy of displacement measuring interferometers, such as homodyne interferometers, heterodyne interferometers, and frequency modulated interferometers.

A template-free machine vision-based crop row detection algorithm

2020 ◽  
Vol 22 (1) ◽  
pp. 124-153
Author(s):  
Saba Rabab ◽  
Pieter Badenhorst ◽  
Yi-Ping Phoebe Chen ◽  
Hans D. Daetwyler
Keyword(s):  
Machine Vision ◽  
Detection Algorithm ◽  
Template Free ◽  
Free Machine

scholarly journals High-Speed Target Detection Algorithm Based on Sparse Fourier Transform

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 37828-37836 ◽  
Author(s):  
Cunsuo Pang ◽  
Shengheng Liu ◽  
Yan Han
Keyword(s):  
Fourier Transform ◽  
Target Detection ◽  
High Speed ◽  
Detection Algorithm

Based on the CO2 Gas Shielded Welding Molten Pool Image Edge Detection Algorithm

2013 ◽  
Vol 437 ◽  
pp. 840-844 ◽  
Author(s):  
Xiao Gang Liu ◽  
Bing Zhao
Keyword(s):  
Edge Detection ◽  
Molten Pool ◽  
High Speed ◽  
Vision System ◽  
Detection Algorithm ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Pass ◽  
Defect Recognition ◽  
Pool Image

This paper use the passive vision system through high-speed camera collects molten pool images; and then according to the frequency domain characteristics of the weld pool image Butterworth low-pass filter; gradient method for image enhancement obtained after pretreatment. Research Roberts, Sobel, Prewitt, Log, Zerocross, and Canny 6 both traditional differential operator edge detection processing results. Through comparison and analysis of choosing threshold for [0.1, 0. Canny operator can get the ideal molten pool edge character, for subsequent welding molten pool defect recognition provides favorable conditions.

Detection Algorithm for Crop Multi-Centerlines Based on Machine Vision

2008 ◽  
Vol 51 (3) ◽  
pp. 1089-1097 ◽  
Author(s):  
H. Zhang ◽  
B. Chen ◽  
L. Zhang
Keyword(s):  
Machine Vision ◽  
Detection Algorithm

scholarly journals Design and Development of a High Speed Sorting System Based on Machine Vision Guiding

2012 ◽  
Vol 25 ◽  
pp. 1955-1965 ◽  
Author(s):  
Wenchang Zhang ◽  
Jiangping Mei ◽  
Yabin Ding
Keyword(s):  
Machine Vision ◽  
High Speed ◽  
Design And Development ◽  
Sorting System
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