scholarly journals Developing an Optical Measuring System for Hole Saw Caps

Symmetry ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2311
Author(s):  
Chien-Yu Lu ◽  
Tsung-Chieh Chang ◽  
Lian-Wang Lee ◽  
Rong-Chu Sung ◽  
Te-Jen Su
Keyword(s):  
Computer Vision ◽  
Light Source ◽  
Measurement System ◽  
Detection System ◽  
Low Cost ◽  
Measurement Data ◽  
Measuring System ◽  
Detection Systems ◽  
Desktop Computers ◽  
Back Plate

This paper developed a set of size detection systems with a computer vision method based on the accuracy requirements of the hole saw caps to meet the needs of the accuracy detection machine. The results allow manufacturers to build a digitalized hole saw cap detection system at a low cost. We have designed a measurement system for the hole saw caps with the computer vision method to measure the dimensions of the hole saw caps. However, a valid measurement value of the hole saw caps must be positioned symmetrically. However, in fact, when the measurement system is positioned accurately asymmetrically, it will cause a problem in the measurement data. Therefore, the dark box environment made of a light source and the back plate of the hole saw caps material and two cameras are employed to observe the hole saw caps from both above and the side views. Then, personal desktop computers calculate the size of the hole saw caps based on the camera screen vision with a Python program. The results of the proposed methodology are obtained by measuring 10 workpieces of different sizes, and all the errors within a range of 2 pixels (pixel, px) met the detection standards. Therefore, the developed hole saw cap detection system is in line with expectations.

scholarly journals P.1.12 Particulate matter measurement system using low cost sensor and internet of things

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A80.3-A81
Author(s):  
Seunghon Ham ◽  
Seong-Kyu Kang
Keyword(s):  
Particulate Matter ◽  
Internet Of Things ◽  
Measurement System ◽  
Industrial Revolution ◽  
Low Cost ◽  
Measurement Data ◽  
Personal Exposure ◽  
Consumer Products ◽  
Measuring System ◽  
The Government

The Internet of Things (IoT) is an important keyword in the Fourth Industrial Revolution. IoT is expected to have a massive impact for human being, but these are still early days. IoT enables these objects to collect and exchange data through the wireless network, such as devices, vehicles, buildings, and other items that include electronic devices, software, sensors, and network connections. IoT is a technology that can be used and expanded in various applications such as industrial, manufacturing, medical and consumer products and so on. This research focuses specifically on the development of measurement systems for particulate matter using IoT technology for occupational as well as environmental settings. Currently, the government is providing the concentration of particulate matter (PM2.5/10) hourly. However, it is difficult to reflect personal exposure because it is installed on the top of a building. Therefore, this study shows development of the particulate matter measuring system using IoT and obtains the personal measurement data of the particulate matter. Also, to provide a further insight, we will also present how particulate matter measurement system works by showing some measurements collected with an experimental testbed deployed in our research group. Still, it is necessary to improve the quality of system and the convergence between pollutant measurement including particulate matter and IoT can provide new opportunities for occupational and environmental particulate matter measurement system.AcknowledgementThis work was supported by Gachon University research fund of 2018(GCU-2018–5259) and the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science, ICT) (No. NRF-2017R1C1B1002717).

Development of Bioimpedance Sensors and Measurement System for Biomedical In-Vitro Applications

2021 ◽  
Vol 7 (2) ◽  
pp. 496-499
Author(s):  
Stadler B. Eng. Sebastian ◽  
Herbert Plischke ◽  
Christian Hanshans
Keyword(s):  
Measurement System ◽  
Low Cost ◽  
Measurement Data ◽  
Impedance Measurement ◽  
Microtiter Plate ◽  
Label Free ◽  
Single Chip ◽  
Do It Yourself ◽  
Store And Forward

Abstract Bioimpedance analysis is a label-free and easy approach to obtain information on cellular barrier integrity and cell viability more broadly. In this work, we introduce a small, low-cost, portable in vitro impedance measurement system for studies where a shadow-free exposure of the cells is a requirement. It can be controlled by a user-friendly web interface and can perform measurements automated and autonomously at short intervals. The system can be integrated into an existing IoT network for remote monitoring and indepth analyses. A single-board computer (SBC) serves as the central unit, to control, analyze, store and forward the measurement data from the single-chip impedance analyzer. Various materials and manufacturing methods were used to produce a purpose-built lid on top of a modified 24-well microtiter plate in a “do it yourself” fashion. Furthermore, three different sensor designs were developed utilizing anodic aluminum oxide (AAO) membranes and gold-plated electrodes. Preliminary tests with potassium chloride (KCl) showed first promising results.

Dynamic Calibration for Measurement System of Form Measuring Instruments Based on Elliptical Standard

2017 ◽  
Vol 870 ◽  
pp. 203-208
Author(s):  
Jing Zhi Huang ◽  
Teng Hui Guo ◽  
Jiu Bin Tan ◽  
Tao Sun
Keyword(s):  
Measurement System ◽  
Measurement Data ◽  
Vibration Signal ◽  
Major Axis ◽  
Calibration Method ◽  
Measuring System ◽  
Measuring Instruments ◽  
Dynamic Calibration ◽  
Pass Filter ◽  
Low Pass Filter

A dynamic calibration method based on elliptical standard was put forward to further improve the calibration repeatability of measurement system of form measuring instruments. In this method, the radius difference of the major axis to the minor axis of elliptic contour acts as the standard value to calibrate the measuring system, and a low pass filter is used to filter the roughness, electrical noise and high frequency vibration signal which mixed into measurement data, the elliptic contour feature can be obtained accurately based on the low order harmonic properties. Compared with the traditional calibration method of flick standard, the proposed method ensure the calibration state is well consistent with the normal measuring state of the measuring system. Experimental results indicate that the calibration repeatability with 10nm can be achieved by measuring an elliptical standard. This method has been used in the calibration of measurement system of self-made ultra-precision cylindricity measuring instrument.

scholarly journals Towards Safer Rides: Measuring Motorcycle Dynamics with Smartphones

2020 ◽  
Author(s):  
Maximilian Stanglmayr ◽  
◽  
Maximilian Bäumler ◽  
Keyword(s):  
Measurement System ◽  
Inertial Sensors ◽  
Road Traffic ◽  
Low Cost ◽  
Measurement Data ◽  
Smartphone App ◽  
High Precision Measurement ◽  
Road Users ◽  
Vulnerable Road Users ◽  
Motorcycle Dynamics

Motorcyclists are among the most vulnerable road users in road traffic. Often, the cause of accidents is a loss of control on rural roads which could be averted by making use of the physical potential in terms of larger lean angles. At the same time, in reality driven lean angles over a larger group of riders and a longer route are unknown which is mainly due to the special measuring technology required. The focus is therefore on the development of a low-cost measurement method for measuring the lean angles of motorcycles. Smartphones are usually characterized by integrated inertial sensors, which are suitable for the acquisition of motorcycle driving dynamics. Employing a smartphone app tailored to the requirements for collecting measurement data on the motorcycle, the data of the sensors are recorded. During the offline evaluation, the rotation angles between the smartphone and the motorcycle coordinate system are determined, the inertial measurement data are transformed and the roll angle is calculated. An essential part is the alignment of the developed measurement chain with a high-precision measurement system. This was carried out on different routes and thus the data quality was determined. As a feasibility study, a test person study with several participants was carried out, which confirmed the practical suitability of the measurement chain. Hence, the study outcomes are briefly shown and discussed. The successful validation on different routes, the practical suitability of the data acquisition and the accuracy of the measurement system encourage to roll out the smartphone app to a larger panel of test persons and thus to collect data on a larger driver collective.

scholarly journals Event-Centered Data Segmentation in Accelerometer-Based Fall Detection Algorithms

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4335
Author(s):  
Goran Šeketa ◽  
Lovro Pavlaković ◽  
Dominik Džaja ◽  
Igor Lacković ◽  
Ratko Magjarević
Keyword(s):  
Large Scale ◽  
Detection System ◽  
Low Cost ◽  
Fall Detection ◽  
Support Vector ◽  
Svm Classifier ◽  
Detection Accuracy ◽  
Detection Systems ◽  
Data Segmentation ◽  
Post Impact

Automatic fall detection systems ensure that elderly people get prompt assistance after experiencing a fall. Fall detection systems based on accelerometer measurements are widely used because of their portability and low cost. However, the ability of these systems to differentiate falls from Activities of Daily Living (ADL) is still not acceptable for everyday usage at a large scale. More work is still needed to raise the performance of these systems. In our research, we explored an essential but often neglected part of accelerometer-based fall detection systems—data segmentation. The aim of our work was to explore how different configurations of windows for data segmentation affect detection accuracy of a fall detection system and to find the best-performing configuration. For this purpose, we designed a testing environment for fall detection based on a Support Vector Machine (SVM) classifier and evaluated the influence of the number and duration of segmentation windows on the overall detection accuracy. Thereby, an event-centered approach for data segmentation was used, where windows are set relative to a potential fall event detected in the input data. Fall and ADL data records from three publicly available datasets were utilized for the test. We found that a configuration of three sequential windows (pre-impact, impact, and post-impact) provided the highest detection accuracy on all three datasets. The best results were obtained when either a 0.5 s or a 1 s long impact window was used, combined with pre- and post-impact windows of 3.5 s or 3.75 s.

scholarly journals Analisis Sistem Pengukuran Getaran Mems Accelerometer ADXL345

2019 ◽  
Vol 9 (02) ◽  
pp. 63-67
Author(s):  
Indra Feriadi ◽  
Fajar Aswin ◽  
M Iqbal Nugraha
Keyword(s):  
Measurement System ◽  
Low Cost ◽  
Measurement Data ◽  
Micro Electro Mechanical System ◽  
Vibration Measurement ◽  
Measurement Technology ◽  
Mems Accelerometer ◽  
Analysis Technique ◽  
Develop Approach ◽  
Mems Technology

Vibration measurement technology using conventional sensors such as piezoelectric (PZT) Accelerometer is still expensive. Currently, many low-cost vibration measuring devices have been developed by using Micro Electro Mechanical System (MEMS) technology. This study aims to analyze the results of vibration measurement system MEMS Accelerometer ADXL345 with PZT Accelerometer. This research applies design and develop approach with comparative data analysis technique, that is comparing data of result of measurement of MEMS Accelerometer ADXL345 to PZT Accelerometer Vibroport80. The construction comprises the ADXL345 sensor connected to the Arduino Mega 2560 microcontroller operated by Widows operating system and programming language Arduino IDE 1.08. Testing of measurements at Bearing speeds of 500, 1000, and 1500 RPM with length of time measurements at 5, 10, and 20 seconds respectively. The analysis of the test results shows that the MEMS Accelerometer ADXL345 of vibration measurement system can measure, process and display vibration measurement data larger 3% than PZT Accelerometer and can provide the best measurement accuracy at 20 seconds measurement length of time.

scholarly journals An Alternative Approach to Detecting Cancer Cells by Multi-Directional Fluorescence Detection System Using Cost-Effective LED and Photodiode

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2301
Author(s):  
Kyoungrae Cho ◽  
Jeong-hyeok Seo ◽  
Gyeongyong Heo ◽  
Se-woon Choe
Keyword(s):  
Cancer Cells ◽  
Light Source ◽  
Fluorescence Detection ◽  
Detection System ◽  
Low Cost ◽  
Cost Effective ◽  
Flow Cytometer ◽  
Cell Counting ◽  
Fluorescence Characteristics ◽  
Fluorescence Detection System

The enumeration of cellular proliferation by covering from hemocytometer to flow cytometer is an important procedure in the study of cancer development. For example, hemocytometer has been popularly employed to perform manual cell counting. It is easily achieved at a low-cost, however, manual cell counting is labor-intensive and prone to error for a large number of cells. On the other hand, flow cytometer is a highly sophisticated instrument in biomedical and clinical research fields. It provides detailed physical parameters of fluorescently labeled single cells or micro-sized particles depending on the fluorescence characteristics of the target sample. Generally, optical setup to detect fluorescence uses a laser, dichroic filter, and photomultiplier tube as a light source, optical filter, and photodetector, respectively. These components are assembled to set up an instrument to measure the amount of scattering light from the target particle; however, these components are costly, bulky, and have limitations in selecting diverse fluorescence dyes. Moreover, they require multiple refined and expensive modules such as cooling or pumping systems. Thus, alternative cost-effective components have been intensively developed. In this study, a low-cost and miniaturized fluorescence detection system is proposed, i.e., costing less than 100 US dollars, which is customizable by a 3D printer and light source/filter/sensor operating at a specific wavelength using a light-emitting diode with a photodiode, which can be freely replaceable. The fluorescence detection system can quantify multi-directional scattering lights simultaneously from the fluorescently labeled cervical cancer cells. Linear regression was applied to the acquired fluorescence intensities, and excellent linear correlations (R2 > 0.9) were observed. In addition, the enumeration of the cells using hemocytometer to determine its performance accuracy was analyzed by Student’s t-test, and no statistically significant difference was found. Therefore, different cell concentrations are reversely calculated, and the system can provide a rapid and cost-effective alternative to commercial hemocytometer for live cell or microparticle counting.

scholarly journals Colorimetric Detection System forSalmonella typhimuriumBased on Peroxidase-Like Activity of Magnetic Nanoparticles with DNA Aptamers

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ji Young Park ◽  
Ha Young Jeong ◽  
Moon Il Kim ◽  
Tae Jung Park
Keyword(s):  
Catalytic Activity ◽  
Magnetic Nanoparticles ◽  
Peroxidase Activity ◽  
Detection System ◽  
Low Cost ◽  
Colorimetric Detection ◽  
Food Poisoning ◽  
Health Issues ◽  
Color Changes ◽  
Detection Systems

Recently, much attention has been devoted to food-related health issues. In particular, food-poisoning bacteria are becoming a serious threat to human health. So far, techniques used to detect these bacteria are time-consuming and laborious. To overcome these challenges, a biosensor with a simple platform was developed to detectSalmonella typhimurium. The colorimetric strategy is attractive because it enables simple and rapid sensing with the naked eyes. We used magnetic nanoparticles (MNPs), specific aptamers, and a colorimetric substrate, 3,3′,5,5′-tetramethylbenzidine (TMB) in the presence of H2O2. Because MNPs display enzyme-like activities, they can undergo color changes with the help of a colorimetric substrate. In this system, MNPs were first incubated with aptamers that specifically interact with theSalmonellaspecies, reducing the peroxidase activity of the MNPs via DNA-mediated shielding of catalytic activity. After the addition ofSalmonellacells to the solution, specific aptamers on the MNPs interact with theSalmonella, consequently enhancing the peroxidase activity of the MNPs. Considering their low cost, easy separation, and stable activity, MNPs could be applied to various detection systems.

Low Cost Laser Triangulation System for Rail and Guide Wear Evaluation

2012 ◽  
Vol 518 ◽  
pp. 193-200
Author(s):  
Paweł M. Błaszczyk ◽  
Małgorzata Kujawińska
Keyword(s):  
Data Processing ◽  
Measurement System ◽  
Low Cost ◽  
Measuring System ◽  
Laser Triangulation ◽  
Light Rail ◽  
Full Data ◽  
Rail Systems ◽  
Regular Measurement ◽  
Wear Evaluation

Periodic rail and guide wear evaluation is essential for their reliability and safety. By regular measurement it is possible to determine whether certain rail or guide fragments need urgent replacement reducing the risk of accidents. In the paper at first we present the measurement system, which is intended to operate in small rail systems such as trams, light rail, narrow gauge rail, mine rail. It can be adopted to operate in two modes: manual pulled along the rail or guide or automatic attached to a measurement car. The measuring system is flexible enabling the measurement of different features of rail or guide geometry depending on the needs. By simplifying the design, the system can be operated by an unqualified personnel, however final wear evaluation has to be done by a qualified engineer. Finally we present the exemplary results of measurements performed on a selected rail section and the full data processing path. The method of relative calibration and synchronizing data from several measurement modules is also reported.

scholarly journals A New Roadway Eventual Obstacle Detection System Based on Computer Vision

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5109
Author(s):  
Mariano Gonzalez-de-Soto ◽  
Rocio Mora ◽  
José Antonio Martín-Jiménez ◽  
Diego Gonzalez-Aguilera
Keyword(s):  
Computer Vision ◽  
Open Source Software ◽  
Detection System ◽  
Low Cost ◽  
Obstacle Detection ◽  
Road Accidents ◽  
The Past ◽  
Video Images ◽  
Infra Red ◽  
Different Types

A new roadway eventual obstacle detection system based on computer vision is described and evaluated. This system uses low-cost hardware and open-source software to detect and classify moving elements in roads using infra-red and colour video images as input data. This solution represents an important advancement to prevent road accidents due to eventual obstacles which have considerably increased in the past decades, mainly with wildlife. The experimental evaluation of the system demonstrated that the proposed solution detects and classifies correctly different types of moving obstacles on roads, working robustly under different weather and illumination conditions.

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