A Study on the Machine Vision Assisted Vibratory Feeding System

2012 ◽  
Vol 220-223 ◽  
pp. 1377-1380 ◽  
Author(s):  
Liang Han ◽  
Li Yu Wang ◽  
Guo Ping Hu
Keyword(s):  
Machine Vision ◽  
Ccd Camera ◽  
Optical Lens ◽  
Work Requirement ◽  
Illumination System ◽  
Orientation Mechanism ◽  
Image Edge ◽  
Production Automation ◽  
And Control ◽  
Vibratory Feeding

Vibratory feeding is the most significant approach for parts orientation and feeding in production; the process of production automation has been seriously hindered due to the problems with low feeding efficiency, high jamming rate. This project combines machine vision and vibratory feeding technology in substitute for the currently used mechanical orientation mechanism, in order to automatically recognize work pieces of different size, shape and color. The special vibratory feeder and frame are designed. According to the system work requirement, in the thesis, the adjustable light source and illumination system are designed, and the CCD camera and optical lens are chosen. The pneumatic actuator is also designed with the microcomputer as the controller. The area, perimeter, dispersion and invariant moment parameters are used in parts type identification. The image centroid is used to confirm parts position. By using the Hough transform, the image edge can be extracted to get the deflection angle. By using Matlab, the image can be captured, processed, analyzed and judged, meanwhile, communicate with actuator and control it.

Study on the Measuring and Positioning of the Rim Valve Hole Based on Machine Vision

2014 ◽  
Vol 711 ◽  
pp. 333-337 ◽  
Author(s):  
Fang Wang ◽  
Chao Kun Ma ◽  
Shan Qiang Dai ◽  
Chang Chun Li
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Measurement Method ◽  
Ccd Camera ◽  
Servo Motor ◽  
Processing Characteristic ◽  
Linear Ccd ◽  
Hole Position ◽  
And Control

The author has designed a visual workbench to realize that the rim can rotate with the workbench. Meanwhile, the linear CCD camera records the rim’s circumference. The paper has explored the measurement method of getting the rim valve hole position using machine vision. The system can calculate the position of rim-hole and control the servo motor by image processing, characteristic recognizing and measuring to locate the position of wheel-hole automatically. And the paper has verified the accuracy of the method by experiments.

Online Biscuit Detection System Based on Machine Vision

2013 ◽  
Vol 341-342 ◽  
pp. 597-600
Author(s):  
Xin Wei ◽  
Guang Feng Chen ◽  
Lin Lin Zhai ◽  
Qing Qing Huang
Keyword(s):  
Machine Vision ◽  
Detection Rate ◽  
Detection System ◽  
Control Logic ◽  
Control Software ◽  
Matching Algorithm ◽  
Geometric Matching ◽  
Detection Software ◽  
And Control ◽  
Manipulator Control

In order to complete the automated sorting, the manipulator needs the accurate coordinate and angle information of the biscuits. This article design a machine vision based online biscuit detection system. Devise the hardware structure and control logic. Base on geometric matching algorithm, develop the detection software with NI Vision. The software could acquire video to analysis to get the coordinates of biscuits, and update and exchange the data with manipulator control software. The system has been tested to achieve a complete detection rate about 96%.

Pulsed Laser Imaging Techniques: Calcium and Exocytosis in Excitable Cells.

1997 ◽  
Vol 3 (S2) ◽  
pp. 807-808
Author(s):  
J.M. Fernandez
Keyword(s):  
Laser Pulse ◽  
Chromaffin Cell ◽  
Imaging Techniques ◽  
Pulsed Laser ◽  
Ccd Camera ◽  
Excitable Cells ◽  
Laser Imaging ◽  
Laser Illumination ◽  
Illumination System ◽  
Indicator Dye

A rapid Ca++ signal is known to be the main trigger for exocytosis in excitable cells. However, its mode of action is unknown. Recently, it has become clear that the spatial distribution of a Ca++ stimulus is important for exocytosis. To investigate this question we have developed a novel instrument capable of imaging Ca++ gradients in patch clamped cells. We have equipped a standard fluorescence microscope with a CCD camera and an image processing station. This combination can generate a thin section view of the fluorescence of a single cell. We have equipped this microscope with a pulsed laser illumination system. The distribution of intracellular calcium can be obtained by exciting the Ca++ indicator dye (e.g., rhod-2) with a brief laser pulse [300 ns long at 525 nm ], then an image can be formed with the light emitted by the dye. by synchronizing the laser pulse with a depolarizing stimulus in a patch-clamped chromaffin cell loaded with the fluorescent Ca++ indicator rhod-2, we could easily obtain snapshots of the Ca++ distribution at known times after a stimulus.

Machine vision for soil roughness measurement and control of tillage machines during seedbed preparation

2020 ◽  
Vol 196 ◽  
pp. 104351 ◽  
Author(s):  
Peter Riegler-Nurscher ◽  
Gerhard Moitzi ◽  
Johann Prankl ◽  
Josef Huber ◽  
Jürgen Karner ◽  
...  
Keyword(s):  
Machine Vision ◽  
Roughness Measurement ◽  
Seedbed Preparation ◽  
And Control ◽  
Measurement And Control

The Assembly Error Detection of Automotive Airbag Based on Machine Vision

2015 ◽  
Vol 738-739 ◽  
pp. 694-698
Author(s):  
Xiao Dong Wang ◽  
Qi Liu ◽  
Wei Zhang
Keyword(s):  
Machine Vision ◽  
Error Detection ◽  
Template Matching ◽  
Assembly Line ◽  
Detection Method ◽  
Ccd Camera ◽  
Processing Method ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Assembly Error

Based on the principle of machine vision technology, we designed a methodto detect the outline dimensions of automotive airbag quickly and accurately. We Used CCD camera obtain the airbag image, through the image processing method ofsmooth filtering andgray-scale transformationto complete pre-processing, finally applied Canny edge detection operator to extract the boundary of the airbag contour features,and then took the template matching methodto detect assemble error of the airbag image whether meet the requirement.The results show that the detection method have a higher precision, and the time is very short, it can improve the sampled positioningerror detection for the all checks image recognition detection, suitable for application in real-time online detection of airbag assembly line.

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