scholarly journals Smart Security System for Suspicious Activity Detection in Volatile Areas

2020 ◽  
Vol 02 (01) ◽  
pp. 64-72 ◽  
Author(s):  
Dr. Joy Iong Zong Chen
Keyword(s):  
Identification System ◽  
Motion Sensors ◽  
Activity Detection ◽  
Protective Measures ◽  
Video Recordings ◽  
Military Regimes ◽  
Single Person ◽  
Enormous Amount ◽  
The Face ◽  
Scope Of Application

The latest progress in the technology has led to automation and digitization in almost every fields, and has influenced a wide scope of application. This has caused enormous amount of data flow from each sectors, where the information contained in the data acts as the important component for the progress of the single person, organization, state, country and so on. These data with valuable information can be used in the constructive and the destructive perceptive based on the hands that handle it. So protective measures become very essential for preserving the data from unwanted access. This paves for developing a system to identify the suspicious movement in the volatile areas like military regimes, hospitals and financial organizations to safe the data. The method put forward in the paper incorporates the motion sensors and the face identification system to detect the suspicious activities and report to the lawful person. The algorithm for the system was developed using the python and tested for various sets of exemplary real time video recordings to know the accuracy in the detection.

ALGORITHMS FOR IMAGE PRE-PROCESSING IN THE FACE IDENTIFICATION SYSTEM IN THE VIDEO STREAM

2019 ◽  
Vol 4 (91) ◽  
pp. 21-29 ◽  
Author(s):  
Yaroslav Trofimenko ◽  
Lyudmila Vinogradova ◽  
Evgeniy Ershov
Keyword(s):  
Video Stream ◽  
Face Identification ◽  
Identification System ◽  
The Face

A Review on Methods of Face Masks Sterilization for Reuse Owing To Crisis During COVID-19

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1240-1243
Author(s):  
Pradyuman Singh Rajput ◽  
Asish Kumar Saha ◽  
Insiya Gangardiwala ◽  
Anand Vijayakumar Palur Ramakrishnan
Keyword(s):  
Healthcare Workers ◽  
Health Hazard ◽  
Capital City ◽  
Limited Resources ◽  
Protective Equipment ◽  
First Line ◽  
Republic Of China ◽  
Enormous Amount ◽  
The Face ◽  
The Common

The COVID-19 pandemic initially started from the Wuhan capital city of Hubei Province in the People's Republic of China had now led to a severe public health hazard across the globe, the recorded death is approximately 958 thousand globally and counting. With the enormous amount of spread of the disease, a severe crisis for Personal Protective Equipment (PPE) is being noticed across the globe. Face masks being the first line of defence for all the healthcare workers as well for the common public. It became mandatory to wear face masks before entering the patient care area. The countries who are not manufacturing it locally had to depend on other countries for the procurement. As there is a severe supply chain disruption due to the lockdown measures taken by all the countries to contain the disease, so it had become difficult to procure the face masks from the manufacturing countries. The price for these PPEs is also rising at an alarming rate with the increase in the COVID-19 cases and the huge rate of consumption by the healthcare and other sectors. Therefore, with limited resources, the hospital has to run its services. The CDC, WHO and ICMR have released several guidelines from time to time for sterilization and reuse of face masks. This article will discuss the various methods that can be utilized to sterilize the face masks and reuse of it.

scholarly journals The Utilization of Protective Face Masks among Polish Healthcare Workers during COVID-19 Pandemic: Do We Pass the Exam?

2021 ◽  
Vol 18 (2) ◽  
pp. 841
Author(s):  
Radomir Reszke ◽  
Łukasz Matusiak ◽  
Piotr K. Krajewski ◽  
Marta Szepietowska ◽  
Rafał Białynicki-Birula ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
Medical Profession ◽  
Cross Sectional Study ◽  
Internet Survey ◽  
World Health ◽  
Cross Sectional ◽  
Protective Measures ◽  
Who Criteria ◽  
The Face ◽  
Health Organization

Relevant personal protective measures during the COVID-19 pandemic include face masks, possibly decreasing the risk of infection among the general population and healthcare workers (HCW) if utilized properly. The aim of the study was to assess whether different Polish HCW utilize face masks according to the 2020 World Health Organization guidance (WHO) criteria. This cross-sectional study included 1156 respondents who participated in an internet survey evaluating mask-related behaviors. All the WHO criteria were complied with by 1.4% of participants, regardless of medical profession, specialty or place of employment. HCW mostly adhered to criterion 1 (C1; strict covering of the face and mouth with the mask; 90.8%), C4 (washing/disinfecting the hands after touching/taking off the mask; 49%) and C3 (taking off the mask properly without touching the anterior surface; 43.4%), whereas C2 (avoidance of touching the mask with hands) was complied with least commonly (6.8%). HCW with mask-induced itch (31.6%) complied to C2 less often (odds ratio 0.53; p = 0.01). The study reveals that Polish HCW rarely adhere to all the 2020 WHO guidance criteria on the use of masks, whereas the adherence to particular criteria is variable and may be associated with the presence of skin-related conditions and other factors. Better compliance with the recommendations in the future is necessary to increase personal safety of HCW and prevent the transmission of SARS-CoV-2.

scholarly journals An Overview of Multimodal Biometrics Using the Face and Ear

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Yichao Ma ◽  
Zengxi Huang ◽  
Xiaoming Wang ◽  
Kai Huang
Keyword(s):  
Rapid Development ◽  
3D Structure ◽  
Fusion Rule ◽  
Identification System ◽  
Multimodal Biometrics ◽  
Adaptive Fusion ◽  
The Face ◽  
Physiological Structure ◽  
Biometric Quality ◽  
Improved Accuracy

In the recent years, we have witnessed the rapid development of face recognition, though it is still plagued by variations such as facial expressions, pose, and occlusion. In contrast to the face, the ear has a stable 3D structure and is nearly unaffected by aging and expression changes. Both the face and ear can be captured from a distance and in a nonintrusive manner, which makes them applicable to a wider range of application domains. Together with their physiological structure and location, the ear can readily serve as supplement to the face for biometric recognition. It has been a trend to combine the face and ear to develop nonintrusive multimodal recognition for improved accuracy, robustness, and security. However, when either the face or the ear suffers from data degeneration, if the fusion rule is fixed or with inferior flexibility, a multimodal system may perform worse than the unimodal system using only the modality with better quality sample. The biometric quality-based adaptive fusion is an avenue to address this issue. In this paper, we present an overview of the literature about multimodal biometrics using the face and ear. All the approaches are classified into categories according to their fusion levels. In the end, we pay particular attention to an adaptive multimodal identification system, which adopts a general biometric quality assessment (BQA) method and dynamically integrates the face and ear via sparse representation. Apart from a refinement of the BQA and fusion weights selection, we extend the experiments for a more thorough evaluation by using more datasets and more types of image degeneration.

scholarly journals Face Recognition Model Using Back Propagation

2018 ◽  
Vol 7 (3.34) ◽  
pp. 237
Author(s):  
R Aswini Priyanka ◽  
C Ashwitha ◽  
R Arun Chakravarthi ◽  
R Prakash
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Face Recognition ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Face Identification ◽  
Identification System ◽  
Scientific World ◽  
The Face ◽  
Deep Learning Neural Network

In scientific world, Face recognition becomes an important research topic. The face identification system is an application capable of verifying a human face from a live videos or digital images. One of the best methods is to compare the particular facial attributes of a person with the images and its database. It is widely used in biometrics and security systems. Back in old days, face identification was a challenging concept. Because of the variations in viewpoint and facial expression, the deep learning neural network came into the technology stack it’s been very easy to detect and recognize the faces. The efficiency has increased dramatically. In this paper, ORL database is about the ten images of forty people helps to evaluate our methodology. We use the concept of Back Propagation Neural Network (BPNN) in deep learning model is to recognize the faces and increase the efficiency of the model compared to previously existing face recognition models.   

scholarly journals Constructive basis for the development of the extreme zones of Siberia and the Russian arctic

2018 ◽  
Vol 7 (2.13) ◽  
pp. 75
Author(s):  
Tat'yana Sarvut
Keyword(s):  
Structural Changes ◽  
Irreversible Process ◽  
World Ocean ◽  
Weather Conditions ◽  
Russian Arctic ◽  
Protective Measures ◽  
New Approach ◽  
The World ◽  
The Face ◽  
New Type

The paper describes the constructive basis for building and structure designing in the difficult regions of Siberia and the Russian Arctic and development of a new approach to the design of buildings and structures in the Russian Arctic in the face of climate change. Severe climate and weather conditions of the northwestern territories of Russia are rapidly changing due to the global warming. The structural changes in development and construction, following this irreversible process, are highlighted and discussed in relation to the foundations and constructive systems. The paper provides an overview of methods and technological approaches to the extreme zone construction. The application of modern methods of design and construction with the involvement of competent "practitioners" increases the pace of construction and reduces its cost; Architectural and constructive solutions should focus on the developing areas of business and tourism. We suggest the possible protective measures against the transgression of the World Ocean and thawing of the permafrost. The term “special Arctic bases”, denoting the new type of settlements in the Russian Arctic, is introduced. The introduction of constructive solutions and the development of planning solutions for the bases will help to ensure a stable activity in the region.  

Fusion of Inertial Motion Sensors and Electroencephalogram for Activity Detection

2019 ◽  
pp. 319-326 ◽  
Author(s):  
Ibai Baglietto Araquistain ◽  
Xabier Garmendia ◽  
Manuel Graña ◽  
Javier de Lope Asiain
Keyword(s):  
Motion Sensors ◽  
Activity Detection ◽  
Inertial Motion

scholarly journals Face Recognition Door Lock System using Raspberry Pi

2021 ◽  
Vol 9 (VI) ◽  
pp. 138-145
Author(s):  
K. V. Usha Ramani
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Initial Step ◽  
Power Input ◽  
Human Interaction ◽  
Raspberry Pi ◽  
Identification System ◽  
Human Beings ◽  
The Face ◽  
Door Lock

One of the crucial difficulties we aim to find in computer vision is to recognize items automatically without human interaction in a picture. Face detection may be seen as an issue when the face of human beings is detected in a picture. The initial step towards many face-related technologies, including face recognition or verification, is generally facial detection. Face detection however may be quite beneficial. A biometric identification system besides fingerprint and iris would likely be the most effective use of face recognition. The door lock system in this project consists of Raspberry Pi, camera module, relay module, power input and output, connected to a solenoid lock. It employs the two different facial recognition algorithms to detect the faces and train the model for recognition purpose

scholarly journals 3D Single-Person Concurrent Activity Detection Using Stacked Relation Network

2020 ◽  
Vol 34 (07) ◽  
pp. 12329-12337
Author(s):  
Yi Wei ◽  
Wenbo Li ◽  
Yanbo Fan ◽  
Linghan Xu ◽  
Ming-Ching Chang ◽  
...  
Keyword(s):  
Real World ◽  
State Of The Art ◽  
Feature Representation ◽  
Activity Detection ◽  
Activity Class ◽  
Single Person ◽  
Class Level ◽  
Public Dataset ◽  
3D Skeleton ◽  
Art Performance

We aim to detect real-world concurrent activities performed by a single person from a streaming 3D skeleton sequence. Different from most existing works that deal with concurrent activities performed by multiple persons that are seldom correlated, we focus on concurrent activities that are spatio-temporally or causally correlated and performed by a single person. For the sake of generalization, we propose an approach based on a decompositional design to learn a dedicated feature representation for each activity class. To address the scalability issue, we further extend the class-level decompositional design to the postural-primitive level, such that each class-wise representation does not need to be extracted by independent backbones, but through a dedicated weighted aggregation of a shared pool of postural primitives. There are multiple interdependent instances deriving from each decomposition. Thus, we propose Stacked Relation Networks (SRN), with a specialized relation network for each decomposition, so as to enhance the expressiveness of instance-wise representations via the inter-instance relationship modeling. SRN achieves state-of-the-art performance on a public dataset and a newly collected dataset. The relation weights within SRN are interpretable among the activity contexts. The new dataset and code are available at https://github.com/weiyi1991/UA_Concurrent/

scholarly journals Who_Is : Identification system of human faces

2002 ◽  
Vol Volume 1, 2002 ◽  
Author(s):  
Mohamed Tayeb Laskri ◽  
Djallel Chefrour
Keyword(s):  
Face Recognition ◽  
Geometric Model ◽  
Personal Identification ◽  
Identification System ◽  
K Nearest Neighbors ◽  
City Block ◽  
The Face ◽  
Characteristic Points ◽  
The Individual ◽  
Application Fields

International audience Although human face recognition is a hard topic due to many parameters involved (e.g. variability of the position, lighting, hairstyle, existence of glasses, beard, moustaches, wrinkles...), it becomes of increasing interest in numerous application fields (personal identification, video watch, man machine interfaces...). In this work, we present WHO_IS, a system for person identification based on face recognition. A geometric model of the face is definedfrom a set of characteristic points which are extracted from the face image. The identification consists in calculating the K nearest neighbors of the individual test by using the City-Block distance. The system is tested on a sample of 100 people with a success rate of 86 %. Bien que la reconnaissance des visages humains soit un domaine difficile à cause de la multitude des paramètres qu'il faut prendre en compte (variation de posture, éclairage, style de coiffure, port de lunettes, de barbes, de moustaches, vieillesse…), il est très important de s'en intéresser vu les nombreux champs d'applications (vérification de personnes, télésurveillance, interfaces homme-machine …). Dans ce travail nous présentons la mise en œuvre de WHO_IS, un système d'identification de personnes par reconnaissance des visages humains. Nous avons développé un modèle géométrique du visage basé sur un ensemble de points caractéristiques extraits à partir de l'image du visage. La procédure d'identification consiste à calculer les K plus proches voisins de l'individu test dans le sens de la distance City-Block. Le système WHO_IS a été testé sur un échantillon de 100 personnes. Un taux de reconnaissance correcte de 86% a été obtenu

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