scholarly journals CCTV High-Speed Analysis Algorithm for Real-time Monitoring of Building Access

2020 ◽  
Vol 20 (2) ◽  
pp. 113-118
Author(s):  
Seung-Un Chae ◽  
Hyun-Song Kwon ◽  
Sung-Ryong Park ◽  
Wan-Ho Cho ◽  
Oh-Sung Kwon ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Recognition Rate ◽  
Region Growing ◽  
Bottom Layer ◽  
Video Frame ◽  
Analysis Method ◽  
High Speed Analysis ◽  
Layer Analysis ◽  
High Level

The most important information required to help people escape from disasters such as fires is knowing the number of people that are trapped in the building and their mobility situation. For this purpose, CCTV can be installed and used at entrances, but they do not need to rely on visual monitoring. This paper describes the system of automatically detecting access personnel information from video frame images collected from the CCTV in real time. We propose to improve the region growing method commonly used in the digital image processing field without the degradation of the recognition rate. The proposed method is based on a pyramid-type hierarchical area structure, and is designed to compress the resolution of the top layer to 1/16 of the bottom layer. In this hierarchical structure, the top layer is a casting that primarily serves as a trigger to decide whether to proceed with further analysis and, if necessary, a lower level analysis. In addition, CPU consumption time was reduced by ensuring that only areas related to the high-level triggered areas are processed at the lower-level layers. As a result of the experiment, the proposed layer area analysis method was able to reduce the execution time to 13.96% and the overall processing time to 69.92% over the existing one-layer analysis method.

scholarly journals A Phlegm Stagnation Monitoring Based on VDS Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Zhiguo Gao ◽  
Xin Yu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Moving Objects ◽  
Recognition Rate ◽  
Differential Method ◽  
Video Frame ◽  
Moving Targets ◽  
System A ◽  
Video Images ◽  
Svm Algorithm

In the nonmedical sputum monitoring system, a practical solution for phlegm stagnation care of patients was proposed. Through the camera, the video images of patients’ laryngeal area were obtained in real time. After processing and analysis on these video frame images, the throat movement area was found out. A three-frame differential method was used to detect the throat moving targets. Anomalies were identified according to the information of moving targets and the proposed algorithm. Warning on the abnormal situation can help nursing personnel to deal with sputum blocking problem more effectively. To monitor the patients’ situation in real time, this paper proposed a VDS algorithm, which extracted the speed characteristics of moving objects and combined with the DTW algorithm and SVM algorithm for sequence image classification. Phlegm stagnation symptoms of patients were identified timely for further medical care. In order to evaluate the effectiveness, our method was compared with the DTW, SVM, CTM, and HMM methods. The experimental results showed that this method had a higher recognition rate and was more practical in a nonmedical monitoring system.

scholarly journals Solar-Powered Deep Learning-Based Recognition System of Daily Used Objects and Human Faces for Assistance of the Visually Impaired

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6104
Author(s):  
Bernardo Calabrese ◽  
Ramiro Velázquez ◽  
Carolina Del-Valle-Soto ◽  
Roberto de Fazio ◽  
Nicola Ivan Giannoccaro ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Visually Impaired ◽  
High Speed ◽  
Low Cost ◽  
Recognition Rate ◽  
Object Identification ◽  
Time Interval ◽  
Solar Powered ◽  
Human Faces

This paper introduces a novel low-cost solar-powered wearable assistive technology (AT) device, whose aim is to provide continuous, real-time object recognition to ease the finding of the objects for visually impaired (VI) people in daily life. The system consists of three major components: a miniature low-cost camera, a system on module (SoM) computing unit, and an ultrasonic sensor. The first is worn on the user’s eyeglasses and acquires real-time video of the nearby space. The second is worn as a belt and runs deep learning-based methods and spatial algorithms which process the video coming from the camera performing objects’ detection and recognition. The third assists on positioning the objects found in the surrounding space. The developed device provides audible descriptive sentences as feedback to the user involving the objects recognized and their position referenced to the user gaze. After a proper power consumption analysis, a wearable solar harvesting system, integrated with the developed AT device, has been designed and tested to extend the energy autonomy in the different operating modes and scenarios. Experimental results obtained with the developed low-cost AT device have demonstrated an accurate and reliable real-time object identification with an 86% correct recognition rate and 215 ms average time interval (in case of high-speed SoM operating mode) for the image processing. The proposed system is capable of recognizing the 91 objects offered by the Microsoft Common Objects in Context (COCO) dataset plus several custom objects and human faces. In addition, a simple and scalable methodology for using image datasets and training of Convolutional Neural Networks (CNNs) is introduced to add objects to the system and increase its repertory. It is also demonstrated that comprehensive trainings involving 100 images per targeted object achieve 89% recognition rates, while fast trainings with only 12 images achieve acceptable recognition rates of 55%.

Real-time image-content-based beamline control for smart 4D X-ray imaging

2016 ◽  
Vol 23 (5) ◽  
pp. 1254-1263 ◽  
Author(s):  
Matthias Vogelgesang ◽  
Tomas Farago ◽  
Thilo F. Morgeneyer ◽  
Lukas Helfen ◽  
Tomy dos Santos Rolo ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Image Data ◽  
Building Blocks ◽  
Level Control ◽  
Real Time Processing ◽  
X Ray ◽  
Level Data ◽  
High Level

Real-time processing of X-ray image data acquired at synchrotron radiation facilities allows for smart high-speed experiments. This includes workflows covering parameterized and image-based feedback-driven control up to the final storage of raw and processed data. Nevertheless, there is presently no system that supports an efficient construction of such experiment workflows in a scalable way. Thus, here an architecture based on a high-level control system that manages low-level data acquisition, data processing and device changes is described. This system is suitable for routine as well as prototypical experiments, and provides specialized building blocks to conduct four-dimensionalin situ,in vivoandoperandotomography and laminography.

License Plate Recognition Based on Neural Network Algorithm to Improve Research

2013 ◽  
Vol 860-863 ◽  
pp. 2892-2897 ◽  
Author(s):  
De Yong Liu ◽  
Hong Song ◽  
Quan Pan
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Bp Neural Network ◽  
High Speed ◽  
Recognition Rate ◽  
Training Transfer ◽  
License Plate ◽  
License Plate Recognition ◽  
The Real ◽  
Time Performance

with the development of intelligent transportation technology, which all countries are suitable for their own license plate recognition system is developed. But because of the CCD camera Angle problem will make license plate image tilt; Segmentation after do not match the characters in size and character discontinuity, led to license plate recognition rate is not high, speed slow, reduce the real-time performance of the system. In order to improve the rate of convergence, the recognition rate presents a license plate recognition algorithm based on BP neural network. First put the image correction, segmentation of character normalization processing and eliminate the unfavorable factors, then puts forward characteristics of characters input for training the BP neural network. By setting the network weights and training transfer function, improved algorithm to improve the recognition rate of the system, as well as the real-time performance.

scholarly journals The development of real-time communication network based on Zigbee and Ethernet for Photovoltaic systems

2014 ◽  
Vol 17 (1) ◽  
pp. 5-15
Author(s):  
Dung Quoc Phan ◽  
Dat Ngoc Dao ◽  
Hiep Chi Le
Keyword(s):  
Communication Network ◽  
Real Time ◽  
High Speed ◽  
Large Scale ◽  
Low Cost ◽  
Photovoltaic System ◽  
Solar Inverter ◽  
Ethernet Controller ◽  
Controller Board ◽  
High Level

In a large system with a lot of distribution solar sources which are all connected to the national grid, a communication system becomes the important part for data acquisition in order to control the whole system stable and efficiency. To deal with this challenge, this paper presents a solution based on Zigbee and Ethernet communication standard. Zigbee standard was created to be a specification of a high level wireless communication protocol which is not only secure, reliable, simple but also low cost and low power. With Zigbee, we can create a communication network for hundreds to thousands of mini solar sources in a large scale of photovoltaic system. Ethernet is a high speed wired communication technology that is used widely in industrial and automatic applications. Together Zigbee and Ethernet bring to us a real-time communication solution for the system. In the experiment prototype of this paper, we use the CC2530ZNP-Mini Kit to create a simple network includes one coordinate and one end device for the first step. The end device was configured to get current and voltage values from a 3-phase grid-connected solar inverter 800Wpk and then sends the values to the coordinate. After the coordinate received data, it would send them to an Ethernet controller board. To display the data through Ethernet, we embedded a web server on the Ethernet controller board. By this way, the data was easy to visualize and supervised by using any web browser.

An Efficient Intrusion Alerts Miner for Forensics Readiness in High Speed Networks

2014 ◽  
Vol 8 (1) ◽  
pp. 62-78 ◽  
Author(s):  
Aymen Akremi ◽  
Hassen Sallay ◽  
Mohsen Rouached
Keyword(s):  
Web Services ◽  
Real Time ◽  
High Speed ◽  
Service Oriented Architecture ◽  
Detection System ◽  
High Sensitivity ◽  
Management Problem ◽  
Real Time Scale ◽  
High Level ◽  
Intrusion Alerts

Intrusion Detection System is considered as a core tool in the collection of forensically relevant evidentiary data in real or near real time from the network. The emergence of High Speed Network (HSN) and Service oriented architecture/Web Services (SOA/WS) putted the IDS in face of a typical big data management problem. The log files that IDS generates are very enormous making very fastidious and both compute and memory intensive the forensics readiness process. Furthermore the high level rate of wrong alerts complicates the forensics expert alert analysis and it disproves its performance, efficiency and ability to select the best relevant evidences to attribute attacks to criminals. In this context, we propose Alert Miner (AM), an intrusion alert classifier, which classifies efficiently in near real-time the intrusion alerts in HSN for Web services. AM uses an outlier detection technique based on an adaptive deduced association rules set to classify the alerts automatically and without human assistance. AM reduces false positive alerts without losing high sensitivity (up to 95%) and accuracy up to (97%). Therefore AM facilitates the alert analysis process and allows the investigators to focus their analysis on the most critical alerts on near real-time scale and to postpone less critical alerts for an off-line log analysis.

scholarly journals Real-Time Geometric Parameter Measurement of High-Speed Railway Fastener Based on Point Cloud from Structured Light Sensors

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3675 ◽  
Author(s):  
Hao Cui ◽  
Qingwu Hu ◽  
Qingzhou Mao
Keyword(s):  
Real Time ◽  
Geometric Parameter ◽  
Point Cloud ◽  
High Speed ◽  
Region Growing ◽  
Point Clouds ◽  
Parameter Measurement ◽  
High Speed Railway ◽  
Rail Track ◽  
Accuracy And Repeatability

With the increase in the number of service years for high-speed railways, the foundation of the rail track suffers from settlement, which causes rail track irregularity. To adjust the position of the track and meet track regularity demands, several components of the fastening system will be replaced by different sized components. It is important to measure the exact geometric parameters for the components of a fastening system before adjusting the track. Currently, the measurement process is conducted manually, which is laborious and error-prone. In this paper, a real-time geometric parameter measurement system for high-speed railway fastener based on 2-D laser profilers is presented. Dense and precise 3-D point clouds of high-speed railway fasteners are obtained from the system. A fastener extraction method is presented to extract fastener point cloud and a region-growing algorithm is used to locate key components of the fastener. Then, the geometric parameter of the fastener is worked out. An experiment was conducted on a high-speed railway near Wuhan, China to verify the accuracy and repeatability of the system. The maximum root-mean-square-error between the manual measurement and the system measurement is 0.3 mm, which demonstrates adequate accuracy. This system can replace manual measurements and greatly improve the efficiency of geometric parameter measurements for fasteners.

PHAX-SCAN: Functional integration of a Scanning Electron Microscope and an energy-dispersive x-ray analyser

1989 ◽  
Vol 47 ◽  
pp. 56-57
Author(s):  
Marc H. Peeters ◽  
Max T. Otten
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
High Speed ◽  
High Performance ◽  
Functional Integration ◽  
Energy Dispersive ◽  
X Rays ◽  
X Ray ◽  
High Speed Analysis ◽  
Scanning Electron

Over the past decades, the combination of energy-dispersive analysis of X-rays and scanning electron microscopy has proved to be a powerful tool for fast and reliable elemental characterization of a large variety of specimens. The technique has evolved rapidly from a purely qualitative characterization method to a reliable quantitative way of analysis. In the last 5 years, an increasing need for automation is observed, whereby energy-dispersive analysers control the beam and stage movement of the scanning electron microscope in order to collect digital X-ray images and perform unattended point analysis over multiple locations.The Philips High-speed Analysis of X-rays system (PHAX-Scan) makes use of the high performance dual-processor structure of the EDAX PV9900 analyser and the databus structure of the Philips series 500 scanning electron microscope to provide a highly automated, user-friendly and extremely fast microanalysis system. The software that runs on the hardware described above was specifically designed to provide the ultimate attainable speed on the system.

Analisis SWOT (Strength, Weakness, Opportunities, Threats) Melalui Inkuiri Terbimbing Pada Materi Kegiatan Ekonomi Mahasiswa Pendidikan Guru Sekolah Dasar

2019 ◽  
Vol 1 (2) ◽  
pp. 141
Author(s):  
Iis Yeni Sugiarti
Keyword(s):  
Swot Analysis ◽  
Descriptive Analysis ◽  
Qualitative Approach ◽  
Guided Inquiry ◽  
Analysis Method ◽  
Economic Activities ◽  
External Analysis ◽  
High Level ◽  
Center Area ◽  
Trade Competition

Abstrak. Desa Trusmi merupakan sentra batik sekaligus kuliner di Kabupaten Cirebon. Banyaknya pemegang usaha di bidang produksi batik mengakibatkan persaingan dagang diwilayah tersebut. Penelitian ini bertujuan untuk menganalisis SWOT (Strength, Weakness, Opportunities, Threats)  di salah satu usaha batik milik H. Edi Baredi atau sering dikenal dengan EB Batik Tradisional melalui inkuri terbimbing. Analisis meliputi profil usaha, aspek produksi, aspek tenaga kerja, aspek pemasaran dan aspek keuangan. Jenis penelitian ini menggunakan pendekatan kualitatif dengan metode deskripstif analisis. Berdasarkan analisis internal dan eksternal analisis SWOT, strategi yang  dilakukan oleh EB Batik Tradisional yaitu menghindari kehilangan penjualan dan profit yang disebabkan banyaknya persaingan dagang di kawasan sentra batik Trusmi dengan munculnya inovasi baru. Penguatan karakter pada produksi batiknya dapat mengatasi pesaingan dagang dan menambah daya tarik pembeli. Kata Kunci: SWOT, Inkuiri Terbimbing, dan Kegiatan Ekonomi Abstract. Trusmi village is a center of batik as well as culinary in Cirebon Regency. A large number of business holders in the field of batik production has resulted in trade competition in the region. This study aims to analyze SWOT (Strength, Weakness, Opportunities, Threats) in one of the batik business owned by H. Edi Baredi or often known as EB Traditional Batik through guided injury. The analysis includes the business profile, production aspects, labor aspects, marketing aspects, and financial aspects. This type of research uses a qualitative approach with descriptive analysis method. Based on internal and external analysis of the SWOT analysis, the strategy carried out by EB Traditional Batik is to avoid losing sales and profits due to the high level of trade competition in the Trusmi batik center area with the emergence of innovations. Strengthening the character of batik production can overcome trade competition and increase the attractiveness of buyers. Keywords: SWOT, Guided Inquiry, and Economic Activities

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