scholarly journals New Blood Level Measurement System in Blood Separating Machine

2014 ◽  
Vol 18 (2) ◽  
pp. 75
Author(s):  
Miloš Petković ◽  
Miroslav Božić ◽  
Dragiša Popović ◽  
Darko Todorović ◽  
Goran S. Đorđević
Keyword(s):  
System Integration ◽  
Detection System ◽  
Low Cost ◽  
Separation Process ◽  
Level Measurement ◽  
Custom Made ◽  
Web Camera ◽  
Color Sensors ◽  
Usb Camera ◽  
Processing Solution

Standard versions of blood separators typically usemedium-price color sensors for a detection of a boundary levelbetween red blood cells and plasma, at the last gate – at hoseclamps. Discrete number of sensors is related to a number ofsignificant levels to be detected thus making blood separationpotentially faulty and unreliable. Our target was to makeflexible, low cost replacement for level detection system that canbe easily integrated into the existing product. We came up withan image processing solution that uses USB web-camera, ARMbased off-the-shelf board – BeagleBone black and free OpenCVlibrary. Flexibility is held in much higher, selectable number oflevels, freely positioned USB camera and brand-free independentprocessing platform, as well as semi-automatic calibrationsystem. By adding minimum additional electronics, we managedto integrate our solution into existing Blood processing machine.In conclusion, we added a new value to the machine at lower costin production, increasing measurement frequency and resolutionneeded for improvement of blood separation process. Next step isto try to use two USB cameras on a custom-made board, forsimultaneous level detection on two-channel blood separator,bringing the system integration to the higher level.

A Low-Cost Spot Laser and Camera System for Fluorescent Dye Detection of Agricultural Aircraft Pattern Collection Strings

2018 ◽  
Vol 34 (1) ◽  
pp. 187-193
Author(s):  
Randy R. Price
Keyword(s):  
Detection System ◽  
Spray Deposition ◽  
Low Cost ◽  
Visual Assessment ◽  
Green Laser ◽  
Numerical Comparison ◽  
Aerial Application ◽  
Camera System ◽  
Web Camera ◽  
Cost Components

Abstract. A low-cost dye detection system was developed for pattern testing agricultural aircraft. The system uses a green laser pointer, a USB web camera outfitted with a standard rhodamine filter, and software to threshold the images. When arranged in a 90° illumination chamber, the system was able to detect spray patterns on strings that matched patterns derived from a standard WRK fluorometer system with a numerical comparison of 85% and a coefficient of variation of 17%. Visual assessment indicated an 86% match and all major peaks, valleys, and patterns were correctly indicated. A field test with the system indicated that correct airplane adjustments were possible with the system and advantages include that it is easy-to-build, composed of low-cost components, and the operator can see the string fluorescence during analysis. This system may provide an alternate dye detection system for pattern testing strings from agricultural aircraft. Keywords: Aerial application, Collectors, Fluorescence, Lasers, Spray Deposition.

scholarly journals An Outlook of Recent Advances in Chemiresistive Sensor-Based Electronic Nose Systems for Food Quality and Environmental Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2271
Author(s):  
Alishba T. John ◽  
Krishnan Murugappan ◽  
David R. Nisbet ◽  
Antonio Tricoli
Keyword(s):  
Environmental Monitoring ◽  
Electronic Nose ◽  
System Integration ◽  
Low Cost ◽  
Critical Perspective ◽  
Recent Advances ◽  
Custom Made ◽  
Volatile Organic ◽  
Semiconducting Metal Oxides ◽  
Chemiresistive Sensor

An electronic nose (Enose) relies on the use of an array of partially selective chemical gas sensors for identification of various chemical compounds, including volatile organic compounds in gas mixtures. They have been proposed as a portable low-cost technology to analyse complex odours in the food industry and for environmental monitoring. Recent advances in nanofabrication, sensor and microcircuitry design, neural networks, and system integration have considerably improved the efficacy of Enose devices. Here, we highlight different types of semiconducting metal oxides as well as their sensing mechanism and integration into Enose systems, including different pattern recognition techniques employed for data analysis. We offer a critical perspective of state-of-the-art commercial and custom-made Enoses, identifying current challenges for the broader uptake and use of Enose systems in a variety of applications.

scholarly journals A segmented neutron detector based on Silicon-PIN photodiodes using neutron-proton converters

2019 ◽  
Vol 34 (2) ◽  
pp. 138-144
Author(s):  
Ahmet Bayrak ◽  
Mete Yucel ◽  
Barlas Yucel ◽  
Cenap Ozben
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Neutron Detection ◽  
Low Noise ◽  
Fast Neutrons ◽  
Medical Centers ◽  
Custom Made ◽  
Pin Photodiodes ◽  
Shaping Amplifier ◽  
Charge Sensitive Preamplifier

A segmented neutron detection system based on windowless silicon-PIN photodiodes has been designed and tested with various hydrogen rich converter materials. Each channel from the segmented structure uses an independent custom-made low noise charge sensitive preamplifier and an OPAMP based shaping amplifier. Signals from each channel were digitized using a fast, single bit digitizer and the pulses from each channel were simultaneously recorded with an FPGA board. An AmBe neutron source was used for the test measurements and relative neutron detection efficiencies were determined. This low-cost detector can be used for monitoring fast neutrons in reactors, accelerator facilities or medical centers using neutron therapy.

scholarly journals Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review

Vibration ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 551-584
Author(s):  
Samir Mustapha ◽  
Ye Lu ◽  
Ching-Tai Ng ◽  
Pawel Malinowski
Keyword(s):  
Sensor Networks ◽  
Health Monitoring ◽  
Data Transmission ◽  
System Integration ◽  
Structural Integrity ◽  
Low Cost ◽  
Data Communication ◽  
Total Cost ◽  
Design And Optimization ◽  
Successful Case

The development of structural health monitoring (SHM) systems and their integration in actual structures has become a necessity as it can provide a robust and low-cost solution for monitoring the structural integrity of and the ability to predict the remaining life of structures. In this review, we aim at focusing on one of the important issues of SHM, the design, and implementation of sensor networks. Location and number of sensors, in any SHM system, are of high importance as they impact the system integration, system performance, and accuracy of assessment, as well as the total cost. Hence we are interested in shedding the light on the sensor networks as an essential component of SHM systems. The review discusses several important parameters including design and optimization of sensor networks, development of academic and commercial solutions, powering of sensors, data communication, data transmission, and analytics. Finally, we presented some successful case studies including the challenges and limitations associated with the sensor networks.

scholarly journals An Innovative and Cost-Advantage CAD Solution for Cubitus Varus Surgical Planning in Children

2021 ◽  
Vol 11 (9) ◽  
pp. 4057
Author(s):  
Leonardo Frizziero ◽  
Gian Maria Santi ◽  
Christian Leon-Cardenas ◽  
Giampiero Donnici ◽  
Alfredo Liverani ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Low Cost ◽  
Cost Effective ◽  
Varus Deformity ◽  
Patient Specific ◽  
Cubitus Varus ◽  
Surgical Guide ◽  
Traditional Procedure ◽  
Custom Made ◽  
Patient Specific Instruments

The study of CAD (computer aided design) modeling, design and manufacturing techniques has undergone a rapid growth over the past decades. In medicine, this development mainly concerned the dental and maxillofacial sectors. Significant progress has also been made in orthopedics with pre-operative CAD simulations, printing of bone models and production of patient-specific instruments. However, the traditional procedure that formulates the surgical plan based exclusively on two-dimensional images and interventions performed without the aid of specific instruments for the patient and is currently the most used surgical technique. The production of custom-made tools for the patient, in fact, is often expensive and its use is limited to a few hospitals. The purpose of this study is to show an innovative and cost-effective procedure aimed at prototyping a custom-made surgical guide for address the cubitus varus deformity on a pediatric patient. The cutting guides were obtained through an additive manufacturing process that starts from the 3D digital model of the patient’s bone and allows to design specific models using Creo Parametric. The result is a tool that adheres perfectly to the patient’s bone and guides the surgeon during the osteotomy procedure. The low cost of the methodology described makes it worth noticing by any health institution.

Face recognition in an intelligent door lock with ResNet model based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Suphawimon Phawinee ◽  
Jing-Fang Cai ◽  
Zhe-Yu Guo ◽  
Hao-Ze Zheng ◽  
Guan-Chen Chen
Keyword(s):  
Face Recognition ◽  
Detection System ◽  
Low Cost ◽  
Ease Of Use ◽  
Raspberry Pi ◽  
Training Methods ◽  
Graphics Recognition ◽  
Face Images ◽  
The Face ◽  
Door Lock

Internet of Things is considerably increasing the levels of convenience at homes. The smart door lock is an entry product for smart homes. This work used Raspberry Pi, because of its low cost, as the main control board to apply face recognition technology to a door lock. The installation of the control sensing module with the GPIO expansion function of Raspberry Pi also improved the antitheft mechanism of the door lock. For ease of use, a mobile application (hereafter, app) was developed for users to upload their face images for processing. The app sends the images to Firebase and then the program downloads the images and captures the face as a training set. The face detection system was designed on the basis of machine learning and equipped with a Haar built-in OpenCV graphics recognition program. The system used four training methods: convolutional neural network, VGG-16, VGG-19, and ResNet50. After the training process, the program could recognize the user’s face to open the door lock. A prototype was constructed that could control the door lock and the antitheft system and stream real-time images from the camera to the app.

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