Design of a Traffic Detection System Based on Laser and Piezoelectric Technologies

2012 ◽  
Vol 198-199 ◽  
pp. 1093-1098
Author(s):  
Hong Qin Li ◽  
Li Wei Zhu ◽  
Zhi Yong Zhang ◽  
Cheng Zan Chu
Keyword(s):  
Laser Scanning ◽  
Detection System ◽  
Volume Measurement ◽  
High Accuracy ◽  
Traffic Volume ◽  
Sensor Data ◽  
Software System ◽  
Speed Sensor ◽  
Data Acquisition Unit ◽  
Traffic Detection

This paper aimed to solve the problems that traffic detector which was used in china, can't satisfies the multifunction and high-accuracy needs of the domestic traffic survey and traffic volume measurement.We designed a traffic detection system based on laser and piezoelectric technologies,which is made up of laser speed sensor, laser scanning sensor, piezoelectric axle shaft sensor, data acquisition unit, software system and server, and their application was discussed in detail. The working principles of laser speed sensor, laser scanning sensor, piezoelectric axle shaft sensor were presented, and the detection parameters of the system were put forward. The whole structure and data processing flow of software system were also pointed out. Through test verification, the multifunction and high-accuracy characteristics of the system were verified. This traffic detection system has great significance for enhancing the research level of the domestic traffic survey and traffic volume measurement.

Research on Geometric Dimensioning Automatic Detection of Tubular Member

2013 ◽  
Vol 655-657 ◽  
pp. 886-889
Author(s):  
Jin Jie Yao ◽  
Jing Yang ◽  
Li Ming Wang ◽  
Yan Han ◽  
Pei Rui Bai
Keyword(s):  
Laser Scanning ◽  
Detection System ◽  
Automatic Detection ◽  
Sensor Data ◽  
Displacement Sensor ◽  
External Diameter ◽  
Three Dimension ◽  
Laser Displacement Sensor ◽  
Data Acquisition Card ◽  
Automatic Detection System

Geometric dimensioning measurement is a very important application in metrology. In this paper, we focus on the geometric dimensioning automatic detection of tubular member based on the laser displacement sensor. An automatic detection system of tubular member is designed using line laser scanning principle. The system includes base, swivel table, servo motor, motor driver, servo pack, motor controller, laser displacement sensor, data acquisition card, and computer. The system first gathers the displacement information by laser displacement sensor, then performs coordinate transformation and three dimension reconstruction of the tubular member. The external diameter and the roundness error can also be measured. The experimental results show that the geometric dimensioning parameters measurement is effective and accurate using this method.

Application Of BIM-Technology In The Restoration Of Buildings

2020 ◽  
pp. 42-48
Keyword(s):  
Chinese Communist Party ◽  
Laser Scanning ◽  
High Accuracy ◽  
Information Environment ◽  
Information Modeling ◽  
Structural Scheme ◽  
Traditional Design ◽  
Information Interaction ◽  
Heritage Buildings ◽  
Effective Organization

The paper describes the main trends in the development of BIM technologies in the field of restoration and reconstruction of historical and cultural heritage buildings. The practical part of the paper presents the experience in using information modeling technologies when restoring the building, where the VI Congress of the Chinese Communist Party in Moscow took place. The use of laser scanning technologies made it possible to reproduce with high accuracy in the information model the original appearance of the building using Autodesk RevitR software. It is shown, how the use of information modeling technologies affects the duration of restoration process, taking into account the calculation of the structural scheme and bearing structures of the building, ensuring the identity of the decoration and the effective organization of electromechanical installation. Operating in a single BIM information environment makes it possible to continuously obtain reliable information on the project, which provides more effective information interaction and communication of participants compared to using traditional design methods.

Ultra-Small Laser Scanning Module with High Accuracy Alignment

2009 ◽  
Vol 129 (12) ◽  
pp. 433-438 ◽  
Author(s):  
Shinji Yoshihara ◽  
Junji Ohara ◽  
Katsunori Abe ◽  
Yukihiro Takeuchi ◽  
Nobuaki Kawahara
Keyword(s):  
Laser Scanning ◽  
High Accuracy

scholarly journals Nonlinear absorption and scattering of a single plasmonic nanostructure characterized by x-scan technique

2019 ◽  
Vol 10 ◽  
pp. 2182-2191 ◽  
Author(s):  
Tushar C Jagadale ◽  
Dhanya S Murali ◽  
Shi-Wei Chu
Keyword(s):  
Laser Scanning ◽  
Detection System ◽  
Nonlinear Behavior ◽  
Optical Nonlinearity ◽  
Research Area ◽  
Confocal Laser Scanning Microscope ◽  
Confocal Laser ◽  
Thin Sample ◽  
Channel Detection ◽  
Novel Method

Nonlinear nanoplasmonics is a largely unexplored research area that paves the way for many exciting applications, such as nanolasers, nanoantennas, and nanomodulators. In the field of nonlinear nanoplasmonics, it is highly desirable to characterize the nonlinearity of the optical absorption and scattering of single nanostructures. Currently, the common method to quantify optical nonlinearity is the z-scan technique, which yields real and imaginary parts of the permittivity by moving a thin sample with a laser beam. However, z-scan typically works with thin films, and thus acquires nonlinear responses from ensembles of nanostructures, not from single ones. In this work, we present an x-scan technique that is based on a confocal laser scanning microscope equipped with forward and backward detectors. The two-channel detection offers the simultaneous quantification for the nonlinear behavior of scattering, absorption and total attenuation by a single nanostructure. At low excitation intensities, both scattering and absorption responses are linear, thus confirming the linearity of the detection system. At high excitation intensities, we found that the nonlinear response can be derived directly from the point spread function of the x-scan images. Exceptionally large nonlinearities of both scattering and absorption are unraveled simultaneously for the first time. The present study not only provides a novel method for characterizing nonlinearity of a single nanostructure, but also reports surprisingly large plasmonic nonlinearities.

Traffic volume measurement based on a single smart road stud

Measurement ◽  
2021 ◽  
pp. 110150
Author(s):  
Hua Wang ◽  
Yanli Sun ◽  
Wei Quan ◽  
Xiaolong Ma ◽  
Washington Yotto Ochieng
Keyword(s):  
Volume Measurement ◽  
Traffic Volume

scholarly journals Cloud shadow speed sensor

2014 ◽  
Vol 7 (6) ◽  
pp. 1693-1700 ◽  
Author(s):  
V. Fung ◽  
J. L. Bosch ◽  
S. W. Roberts ◽  
J. Kleissl
Keyword(s):  
High Speed ◽  
Sensor Data ◽  
Motion Vectors ◽  
Speed Sensor ◽  
Correlation Algorithm ◽  
High Speed Data Acquisition ◽  
Economical System ◽  
High Speed Data ◽  
Mean Square Difference ◽  
Artificial Shading

Abstract. Changing cloud cover is a major source of solar radiation variability and poses challenges for the integration of solar energy. A compact and economical system is presented that measures cloud shadow motion vectors to estimate power plant ramp rates and provide short-term solar irradiance forecasts. The cloud shadow speed sensor (CSS) is constructed using an array of luminance sensors and a high-speed data acquisition system to resolve the progression of cloud passages across the sensor footprint. An embedded microcontroller acquires the sensor data and uses a cross-correlation algorithm to determine cloud shadow motion vectors. The CSS was validated against an artificial shading test apparatus, an alternative method of cloud motion detection from ground-measured irradiance (linear cloud edge, LCE), and a UC San Diego sky imager (USI). The CSS detected artificial shadow directions and speeds to within 15° and 6% accuracy, respectively. The CSS detected (real) cloud shadow directions and speeds with average weighted root-mean-square difference of 22° and 1.9 m s−1 when compared to USI and 33° and 1.5 m s−1 when compared to LCE results.

scholarly journals Applying Machine Learning for Improving Performance Classification on Driving Behavior

2021 ◽  
Vol 4 (1) ◽  
pp. 8
Author(s):  
Ahmad Iwan Fadli ◽  
Selo Sulistyo ◽  
Sigit Wibowo
Keyword(s):  
Machine Learning ◽  
Traffic Accident ◽  
Large Scale ◽  
Detection System ◽  
Difficult Problem ◽  
Sensor Data ◽  
Driving Safety ◽  
Support Vector ◽  
Classification Methods ◽  
Machine Learning Classification

Traffic accident is a very difficult problem to handle on a large scale in a country. Indonesia is one of the most populated, developing countries that use vehicles for daily activities as its main transportation.  It is also the country with the largest number of car users in Southeast Asia, so driving safety needs to be considered. Using machine learning classification method to determine whether a driver is driving safely or not can help reduce the risk of driving accidents. We created a detection system to classify whether the driver is driving safely or unsafely using trip sensor data, which include Gyroscope, Acceleration, and GPS. The classification methods used in this study are Random Forest (RF) classification algorithm, Support Vector Machine (SVM), and Multilayer Perceptron (MLP) by improving data preprocessing using feature extraction and oversampling methods. This study shows that RF has the best performance with 98% accuracy, 98% precision, and 97% sensitivity using the proposed preprocessing stages compared to SVM or MLP.

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