Size-Sorting and Measurement System of Safety Belt Pin Based on Machine Vision

2015 ◽  
Vol 741 ◽  
pp. 709-713 ◽  
Author(s):  
Li Gang Cao ◽  
Ming Xiang ◽  
Hao Feng ◽  
Yong Yu Wang
Keyword(s):  
Machine Vision ◽  
Measurement Accuracy ◽  
Image Process ◽  
Control Logic ◽  
Safety Belt ◽  
Repeatability Error ◽  
Improve Measurement ◽  
Size Sorting ◽  
Sorting System ◽  
Telecentric Lens

To improve measurement accuracy of safety belt pin, the size-sorting system which mainly includes a machine vision subsystem and a driving subsystem, is researched. The machine vision subsystem includes a industry camera, a double telecentric lens and a backlight. Image process steps that have sub-pixel accuracy are presented. The driving subsystem is designed with Atmega128L MCU. The state machine is designed for safety pin control logic. The two sub systems communicate with RS232 serial port. The test shows that the system has a maximum accuracy error of 0.05mm, repeatability error of 0.013mm.

scholarly journals Effectiveness of Variable-Gain Kalman Filter Based on Angle Error Calculated from Acceleration Signals in Lower Limb Angle Measurement with Inertial Sensors

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Yuta Teruyama ◽  
Takashi Watanabe
Keyword(s):  
Kalman Filter ◽  
Lower Limb ◽  
Measurement Accuracy ◽  
Inertial Sensors ◽  
Angle Measurement ◽  
Angle Error ◽  
Variable Gain ◽  
Improve Measurement ◽  
Kalman Gain ◽  
Acceleration Signals

The wearable sensor system developed by our group, which measured lower limb angles using Kalman-filtering-based method, was suggested to be useful in evaluation of gait function for rehabilitation support. However, it was expected to reduce variations of measurement errors. In this paper, a variable-Kalman-gain method based on angle error that was calculated from acceleration signals was proposed to improve measurement accuracy. The proposed method was tested comparing to fixed-gain Kalman filter and a variable-Kalman-gain method that was based on acceleration magnitude used in previous studies. First, in angle measurement in treadmill walking, the proposed method measured lower limb angles with the highest measurement accuracy and improved significantly foot inclination angle measurement, while it improved slightly shank and thigh inclination angles. The variable-gain method based on acceleration magnitude was not effective for our Kalman filter system. Then, in angle measurement of a rigid body model, it was shown that the proposed method had measurement accuracy similar to or higher than results seen in other studies that used markers of camera-based motion measurement system fixing on a rigid plate together with a sensor or on the sensor directly. The proposed method was found to be effective in angle measurement with inertial sensors.

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

Particle-size sorting system of lunar regolith using electrostatic traveling wave

2017 ◽  
Vol 89 ◽  
pp. 69-76 ◽  
Author(s):  
M. Adachi ◽  
H. Moroka ◽  
H. Kawamoto ◽  
S. Wakabayashi ◽  
T. Hoshino
Keyword(s):  
Particle Size ◽  
Traveling Wave ◽  
Lunar Regolith ◽  
Size Sorting ◽  
Sorting System

Block Thickness Measurement of Using the Structured Light Vision

2018 ◽  
Vol 33 (01) ◽  
pp. 1955001 ◽  
Author(s):  
Fenghui Lian ◽  
Qingchang Tan ◽  
Siyuan Liu
Keyword(s):  
Machine Vision ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Thickness Measurement ◽  
Base Plane ◽  
Vision Measurement ◽  
Measurement Results ◽  
Measurement Equations ◽  
Structured Light Vision ◽  
Measuring Base

A method for measuring block thicknesses is proposed by the machine vision measurement. Equations of the measuring base plane and the light plane are formed by calibration. Then, the equation of the light strip image, that is, the image of the intersection between the base plane and light one, is established by the projection relation. Equation of the image of the light strip on the measured plane can be determined by the fitting. Since the light strip on the measuring base plane is parallel to one on the measured plane, the thickness of the measuring block is measured by using the two equations. The experiment evaluates the measurement accuracy of the measurement method and analyzes the influence of some factors on the measurement results.

Research on Data Aggregation Algorithms Based on OPT in Wireless Sensor Networks

2013 ◽  
Vol 427-429 ◽  
pp. 1991-1994
Author(s):  
Xue Wen He ◽  
Le Ping Zheng ◽  
Kuan Gang Fan ◽  
Sun Han ◽  
Qing Mei Cao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Aggregation ◽  
Measurement Accuracy ◽  
Wireless Sensor ◽  
Data Traffic ◽  
Fusion Model ◽  
Design Goal ◽  
Improve Measurement ◽  
Battery Energy

Since wireless sensor networks consist of sensors with limited battery energy, a major design goal is to maximize the lifetime of sensor network. To improve measurement accuracy and prolong network lifetime, reducing data traffic is needed. In the clustering-based wireless sensor networks, a novel data aggregation algorithm based on OPT and Layida Method is proposed. In the proposed method, Layida Method preprocesses data and data fusion model for data integration are used. Its availability is proved by comparing with the results of two existing algorithms.

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%.

High Precision Machine Vision System for Outer Diameter Inspection Bearing

2013 ◽  
Vol 552 ◽  
pp. 313-318
Author(s):  
Yuan Gao ◽  
Guo Yu Zhang
Keyword(s):  
Machine Vision ◽  
Optical System ◽  
High Speed ◽  
Measurement Accuracy ◽  
Polynomial Interpolation ◽  
Vision System ◽  
Outer Diameter ◽  
Machine Vision System ◽  
Diameter Measurement ◽  
Ccd Image

A machine vision system for bearing outer diameter inspection has been developed in this paper. The infinite objective of optical system is applied to diameter measurement system. The paper provides a method for measuring the size of objects based on polynomial interpolation. The technology of CCD image stagger is applied in the paper. The method can avoid space between pixels astriction theoretically, so higher measurement accuracy is gained. The experiment results show that the system has many advantages such as non- touch , high speed and higher precision.

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