The concept of development and test results of the multimedia shooting detection system

2016 ◽  
Author(s):  
Karol Jedrasiak ◽  
Krzysztof Daniec ◽  
Dawid Sobel ◽  
Damian Bereska ◽  
Aleksander Nawrat
Keyword(s):  
Detection System ◽  
Test Results

scholarly journals Implementasi Algoritma You Only Look Once (YOLO) untuk Deteksi Korban Bencana Alam

2021 ◽  
Vol 8 (4) ◽  
pp. 787
Author(s):  
Moechammad Sarosa ◽  
Nailul Muna
Keyword(s):  
Image Processing ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Test Data ◽  
Detection System ◽  
Training Data ◽  
Test Results ◽  
Disaster Victim ◽  
Rapid Evacuation

<p class="Abstrak">Bencana alam merupakan suatu peristiwa yang dapat menyebabkan kerusakan dan menciptakan kekacuan. Bangunan yang runtuh dapat menyebabkan cidera dan kematian pada korban. Lokasi dan waktu kejadian bencana alam yang tidak dapat diprediksi oleh manusia berpotensi memakan korban yang tidak sedikit. Oleh karena itu, untuk mengurangi korban yang banyak, setelah kejadian bencana alam, pertama yang harus dilakukan yaitu menemukan dan menyelamatkan korban yang terjebak. Penanganan evakuasi yang cepat harus dilakukan tim SAR untuk membantu korban. Namun pada kenyataannya, tim SAR mengalami kendala selama proses evakuasi korban. Mulai dari sulitnya medan yang dijangkau hingga terbatasnya peralatan yang dibutuhkan. Pada penelitian ini sistem diimplementasikan untuk deteksi korban bencana alam yang bertujuan untuk membantu mengembangkan peralatan tim SAR untuk menemukan korban bencana alam yang berbasis pengolahan citra. Algoritma yang digunakan untuk mendeteksi ada atau tidaknya korban pada gambar adalah <em>You Only Look Once</em> (YOLO). Terdapat dua macam algoritma YOLO yang diimplementasikan pada sistem yaitu YOLOv3 dan YOLOv3 Tiny. Dari hasil pengujian yang telah dilakukan didapatkan <em>F1 Score</em> mencapai 95.3% saat menggunakan YOLOv3 dengan menggunakan 100 data latih dan 100 data uji.</p><p class="Abstrak"> </p><p class="Abstrak"><strong><em>Abstract</em></strong></p><p class="Abstrak"> </p><p class="Abstract"><em>Natural disasters are events that can cause damage and create havoc. Buildings that collapse and can cause injury and death to victims. Humans can not predict the location and timing of natural disasters. After the natural disaster, the first thing to do is find and save trapped victims. The handling of rapid evacuation must be done by the SAR team to help victims to reduce the amount of loss due to natural disasters. But in reality, the process of evacuating victims of natural disasters is still a lot of obstacles experienced by the SAR team. It was starting from the difficulty of the terrain that is reached to the limited equipment needed. In this study, a natural disaster victim detection system was designed using image processing that aims to help find victims in difficult or vulnerable locations when directly reached by humans. In this study, a detection system for victims of natural disasters was implemented which aims to help develop equipment for the SAR team to find victims of natural disasters based on image processing. The algorithm used is You Only Look Once (YOLO). In this study, two types of YOLO algorithms were compared, namely YOLOv3 and YOLOv3 Tiny. From the test results that have been obtained, the F1 Score reaches 95.3% when using YOLOv3 with 100 training data and 100 test data.</em></p>

Study of Remote Elevator Monitoring Fault Detection System

2012 ◽  
Vol 499 ◽  
pp. 459-463 ◽  
Author(s):  
Jian Liu ◽  
Dong Sheng Fan ◽  
Yue Wu ◽  
Guo Jiang Fu ◽  
Mei Ju Liu
Keyword(s):  
Monitoring System ◽  
Detection System ◽  
System Efficiency ◽  
Test Results ◽  
Resource Center ◽  
Control Scheme ◽  
Interface Function ◽  
Important Means ◽  
Embedded Terminal ◽  
Main Thread

Remote Elevator Monitoring (REM) is an important means to ensure elevator secure, reliable working. In this paper, an elevator remote monitoring control scheme is proposed based on multi-threaded technology. Due to all threads in the multi-threaded technology may visit the same overall situation object and the shared resource, center system communicates with embedded terminal is achieved by the method. The remote elevator monitoring system has been designed based on the multi-threaded technology; the main thread interface function is realized by monitor center software, other management operations are also executed in the system. The test results show that the multi-threaded technology applies to the monitoring system, which enhances the system efficiency and security.

Model Parameter Identification of Tire Dynamic Balance Detection System

2012 ◽  
Vol 157-158 ◽  
pp. 731-736
Author(s):  
Jing Fang Yang ◽  
Xian Ying Feng ◽  
Hong Jun Fu ◽  
Shi Gang Mu
Keyword(s):  
Parameter Identification ◽  
Detection System ◽  
Dynamic Balance ◽  
Signal Amplitude ◽  
Engineering Practice ◽  
Model Parameters ◽  
Test Results ◽  
Process Data ◽  
Validation Experiment ◽  
The Right

Tire dynamic balance detection plays an important part in tire quality detection area. An accurate model structure and precise model parameters are the basis of the right test results. This paper builds a kinetic model based on engineering practice. To acquire parameters presents a method following identification theory. According to the need of actual production, a validation experiment is put forward. In the parameter identification process, data acquisition is completed by the PCI card. For data processing, this paper designs the fitting filter and then it also fetches the signal amplitude and phase with discrete Fourier transform. The results are proven to be right and practicable.

scholarly journals Design of a conductive material detection system

2020 ◽  
Vol 9 (4) ◽  
pp. 292
Author(s):  
Freddy Artadima Silaban ◽  
Setiyo Budiyanto ◽  
Lukman Medriavin Silalahi
Keyword(s):  
Food Industry ◽  
Detection System ◽  
Test Results ◽  
Average Response Time ◽  
Economic Competition ◽  
Metal Detector ◽  
Adc Value ◽  
Conductive Material ◽  
Material Detection ◽  
Arduino Microcontroller

The development of technology and industry development in the 4.0 era is very fast along with these developments in the control of production results such as medicine, food, and safety must be faster and more accurate. To face free trade and global economic competition, every company is required to produce products that have good quality by the standards. By using an experimental method which is the development of this study aims to make a conductive material detector (metal detector) for the pharmaceutical industry, the food industry, and security as compared to using conductive material sensors that are integrated with the Arduino microcontroller. Application testing is carried out to find out whether the Blynk application on an android smartphone with Blynk on a Debian server that has been made previously runs well or not and the alarm system testing uses a buzzer and LED to detect conductive material passing through. Conductive sensor test results showed that the instrument can detect 6 conductivity materials such as stainless steel, aluminum, steel, zinc, copper, and tin. The average response time to detect conductive material is 3 seconds, the average ADC value of the conductive material is 0.55. The test results also successfully send information and data to the Blynk application so that it can be monitored online.

scholarly journals GAS LEAK DETECTION SYSTEM MONITORING BASED IoT USING MCU NODES WITH GOOGLE FIREBASE COMMUNICATION

Jurnal Teknik ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Mohammad Imam Syaiffullah ◽  
Sumardi Sadi ◽  
Roni Suyono
Keyword(s):  
Response Time ◽  
Detection System ◽  
Leak Detection ◽  
Smartphone Application ◽  
Test Results ◽  
Liquefied Petroleum Gas ◽  
Gas Cylinder ◽  
Gas Leak ◽  
Gas Leaks ◽  
The Ideal

ABSTRACT Liquefied Petroleum Gas (LPG) leak detection system is a precautionary measure for hazards such as a gas cylinder explosion. There have been many incidents of building explosions because the occupants were negligent in anticipating the gas leak. Therefore, this research has made a gas leak detection system that is integrated with the IoT concept using Google Firebase. This tool aims to anticipate the dangers of gas leaks that occur in a room in a building or house. This tool is wrapped in an acrylic box measuring 10 x 11 x 8 cm. By using NodeMCU ESP8266 as the main control, the gas sensor uses MQ - 2 as input, LED, LCD, and buzzer as output. This tool is also equipped with IoT (Internet of Things) so that the room where this tool is installed when a gas leak occurs can provide notifications remotely using an application on a smartphone. From this tool, test results have been obtained for the ideal distance from the gas regulator to the sensor which is 1 cm away by producing a sensor response time of 0.90 seconds and also getting the response time of the tool in sending notifications to the smartphone application of 1.79 seconds. Keywords: LPG, Firebase, IoT, NodeMCU, Gas Detection 

scholarly journals Clinical Evaluation of a New Antigen-Based COVID-19 Rapid Diagnostic Test from Symptomatic Patients

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2300
Author(s):  
Saiful Arefeen Sazed ◽  
Mohammad Golam Kibria ◽  
Mohammad Sharif Hossain ◽  
Md Fahad Zamil ◽  
Pranob Chandra Adhikary ◽  
...  
Keyword(s):  
Gold Standard ◽  
Clinical Performance ◽  
Detection System ◽  
Rapid Test ◽  
Test Results ◽  
Rt Pcr ◽  
Test Procedures ◽  
Healthcare Facilities ◽  
The Right ◽  
Current Detection

Accurate diagnosis at the right moment is the prerequisite for treatment of any disease. Failure to correctly diagnose a disease can result in highly detrimental effects, unmistakably a crucial factor during the COVID-19 pandemic. RT-PCR is the gold standard for COVID-19 detection while there are other test procedures available, such as LAMP, X-Ray, and ELISA. However, these tests are expensive, require sophisticated equipment and a highly trained workforce, and multiple hours or even days are often required to obtain the test results. A rapid and cheap detection system can thus render a solution to the screening system on a larger scale and be added as an aid to the current detection processes. Recently, some rapid antigen-based COVID-19 tests devices have been developed and commercialized. In this study, we evaluated the clinical performance of a new rapid detection device (OnSite® COVID-19 Ag Rapid Test by CTK Biotech Inc., Poway, CA, USA) on COVID-19 symptomatic patients (n = 380). The overall sensitivity and specificity were 91.0% (95% CI: 84.8–95.3%) and 99.2% (95% CI: 97.1–99.9), against gold standard RT-PCR. The kit was capable of detecting patients even after 06 days of onset of symptoms and the sensitivity can be maximized to 98% in samples with an average RT-PCR Ct ≤ 26.48, demonstrating a high potential of the kit for clinical diagnosis of symptomatic patients in healthcare facilities.

An Off-Resonance Synchronous Vibration Based Method for Rotor System Damage Detections

2005 ◽  
Author(s):  
Huageng Luo ◽  
Hector Rodriguez ◽  
Darren Hallman ◽  
Dennis Corbly
Keyword(s):  
Final Section ◽  
State Of The Art ◽  
Detection System ◽  
Detection Algorithm ◽  
Integrated System ◽  
Test Results ◽  
Test Rig ◽  
Test Setup ◽  
First Order ◽  
Vibration Detection

This paper presents a methodology of detecting rotor imbalances, such as mass imbalance and crack-induced imbalance, using shaft synchronous vibrations. A vibration detection algorithm is derived based on the first order nonresonant synchronous vibration response. A detection system is integrated by using state-of-the-art commercial analysis equipment. A laboratory rotor test rig with controlled mass imbalances was used to verify the integrated system. The system is then deployed to an engine sub-assembly test setup. Four specimens were used in the subassembly test and the test results are reported in the final section.

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