scholarly journals Artificial Intelligence Based Face Mask Detection System

2020 ◽  
Vol 5 (8) ◽  
pp. 467-470
Author(s):  
Vivek Kumar Pandey
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Detection System ◽  
Face Mask ◽  
Recreational Activities ◽  
Human Tendency ◽  
The Face ◽  
The Individual ◽  
Day By Day ◽  
Made In

With the advent of COVID-19 pandemic, use of mask is mandatory as per WHO/ ICMR guidelines to avert spread of CORONA virus. The post lockdown period has seen increase in cases day by day as people have now stepped out of their home to resume their work and recreational activities. Wearing mask all the time has still not found an enduring place in our day to day routine practices. It is a natural human tendency to be complacent and to remove mask while talking, working or after prolong use just use to relax and breathe properly. Thus not only risking own life but also of others who might have come in contact with the person during the period when he/she was not wearing mask. Presently the inspection of people with/ without mask is being done manually and visually by sentries/ guards present at entry/ exit points. Guards/ Sentries cannot be stationed at every place to keep a check on such people who remove their mask and roam around without restraint once they have been scrutinized at the entry gate. In the proposed system, efforts have been made in inspecting people with/ without mask automatically with the help of Computer vision and Artificial Intelligence. This module detects the face of the individual, identifies whether he/she is wearing mask or not and raises an alarm if the person is detected without wearing mask.

A Novel Artificial Face Mask based Nanofibers with Special Intelligent Engineered Nanocomposite Against Covid-19

2021 ◽  
pp. PP. 21-22
Author(s):  
Ahmed A. Elngar ◽  
◽  
◽  
S.I. El El-Dek
Keyword(s):  
Artificial Intelligence ◽  
Resource Allocation ◽  
Pattern Recognition ◽  
Disease Management ◽  
Face Mask ◽  
Vital Role ◽  
Mobile Unit ◽  
Disease Clusters ◽  
Infected People ◽  
The Face

We introduce our idea about a new face mask against Covid-19. Herein our novel face mask is a polymeric matrix of nanofibers. These nanofibers are decorated with special engineered nanocomposite. The later possesses antiviral, antimicrobial. A well-established IR temperature biosensor will be implanted in the face mask and connected to the mobile phone using App (Seek thermal) to allow temperature monitoring. Artificial Intelligence can play a vital role in the fight against COVID-19. AI is being successfully used in the identification of disease clusters, monitoring of cases, prediction of the future outbreaks, mortality risk, diagnosis of COVID-19, disease management by resource allocation, facilitating training, record maintenance and pattern recognition for studying the disease trend. Therefore, AI is used as a type of alarm which be connected through Global Position System (GPS) to a central networking system to monitor the crowded areas of probable infections. In this case, the hospital in this neighborhood will be charged to let a mobile unit of assessment travel quickly to the infected people areas.

scholarly journals Use of Artificial Intelligence for Face Detection with Face Mask in Real Time to Control the Entrance to an Entity

2021 ◽  
Vol 11 (11) ◽  
pp. 68-75
Author(s):  
Enrique Lee Huamaní ◽  
◽  
Lilian Ocares Cunyarachi
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Face Detection ◽  
Face Mask ◽  
Economic Activities ◽  
Facial Mask ◽  
The Face ◽  
The Individual ◽  
A Company ◽  
Selection Of

Due to the pandemic caused by Covid-19, daily life has changed significantly. For this reason, biosecurity measures have been implemented to prevent the spread of the virus as an effective way to reactivate economic activities. In this sense, the present paper focuses on real-time face detection as a measure of control at the entrance to an entity, thus avoiding the spread of the virus while recognizing the identity of workers despite the use of masks and thus reducing the risk of entry of individuals outside the organization. Therefore, the objective is to contribute to the security of a company through the application of machine learning methodology. The selection of methodology is justified due to the adaptation of the same according to the interests of this project. Consequently, algorithms were used in a progressive manner, obtaining as a result the control system that was intended, since each particularity of the face of the individual was recognized in relation to its corresponding identification. Finally, the results of this article benefit the security of organizations regardless of their field or sector. Keywords— Control, Detection, Facial Recognition, Facial Mask, Face recognition, Machine learning.

scholarly journals Web Application for Emotion-based Music Player

2021 ◽  
Vol 9 (12) ◽  
pp. 11-14
Author(s):  
Kamal Naina Soni
Keyword(s):  
Computer Vision ◽  
Human Brain ◽  
Facial Expressions ◽  
Web Application ◽  
Emotional State ◽  
Current State ◽  
The Face ◽  
Current Mood ◽  
The Individual ◽  
Music Player

Abstract: Human expressions play an important role in the extraction of an individual's emotional state. It helps in determining the current state and mood of an individual, extracting and understanding the emotion that an individual has based on various features of the face such as eyes, cheeks, forehead, or even through the curve of the smile. A survey confirmed that people use Music as a form of expression. They often relate to a particular piece of music according to their emotions. Considering these aspects of how music impacts a part of the human brain and body, our project will deal with extracting the user’s facial expressions and features to determine the current mood of the user. Once the emotion is detected, a playlist of songs suitable to the mood of the user will be presented to the user. This can be a big help to alleviate the mood or simply calm the individual and can also get quicker song according to the mood, saving time from looking up different songs and parallel developing a software that can be used anywhere with the help of providing the functionality of playing music according to the emotion detected. Keywords: Music, Emotion recognition, Categorization, Recommendations, Computer vision, Camera

Chelidonium and organ therapy

1981 ◽  
Vol 70 (03) ◽  
pp. 143-151
Author(s):  
Georg Von Keller
Keyword(s):  
Abdominal Pain ◽  
Medical Students ◽  
Theoretical Approach ◽  
The Other ◽  
Subjective Symptoms ◽  
Hepatic Involvement ◽  
The Individual ◽  
Day By Day ◽  
Made In ◽  
Single Organ

SummaryThe author first of all quotes from Rademacher's Erfahrungsheillehre der alten scheidekünstigen Geheimärzte and Rudolph Steiner's 1920 Lectures to Doctors and Medical Students, to show that considerable differences exist within homœopathy and similar schools of medicine regarding the method of finding the remedy.Paracelsus, Rademacher, Rudolph Steiner and others hold the view that the physician must first diagnose the organ in which the disease takes its origin, before he can prescribe the appropriate organotropic medicine. Hahnemann on the other hand is against such a theoretical approach and depends entirely on the predominantly subjective symptoms of the individual, to find a remedy for this particular person and not for an abstract disease.Only those who follow Rademacher's line of thought will therefore be content with seeing a remedy such as Chelidonium as a specific for the liver. The Hahnemannians need all the symptoms of the remedy for their method, down to the smallest and most subjective detail.With the aid of tape recordings made in his surgery, the author therefore goes into the details of three indications for Chelidonium—abdominal pain, pain in the back, and headache. This establishes the fact that, as with all remedies, the action of Chelidonium is in no way limited to a single organ, but extends to the whole human being, and to all his organs.In conclusion it is stated that the remedy may be frequently indicated if there is hepatic involvement, but that a closer study of the more detailed actions of Chelidonium will enable the practitioner to recognize it far more frequently in the patients he sees day by day, and become more certain in his choice of the remedy.

scholarly journals Assessment of COVID-19 risk and prevention effectiveness among spectators of mass gathering events

2021 ◽  
Author(s):  
Tetsuo Yasutaka ◽  
Michio Murakami ◽  
Yuichi Iwasaki ◽  
Wataru Naito ◽  
Masaki Onishi ◽  
...  
Keyword(s):  
Face Mask ◽  
Infection Risk ◽  
Exposure Model ◽  
Infection Prevalence ◽  
Mass Gathering ◽  
Local Infection ◽  
Need To Evaluate ◽  
The Face ◽  
Novel Coronavirus ◽  
The Individual

There is a need to evaluate and minimise the risk of novel coronavirus infections at mass gathering events, such as sports. In particular, to consider how to hold mass gathering events, it is important to clarify how the local infection prevalence, the number of spectators, the capacity proportion, and the implementation of preventions affect the infection risk. In this study, we used an environmental exposure model to analyse the relationship between infection risk and infection prevalence, the number of spectators, and the capacity proportion at mass gathering events in football and baseball games. In addition to assessing risk reduction through the implementation of various preventive measures, we assessed how face-mask-wearing proportion affects infection risk. Furthermore, the model was applied to estimate the number of infectors who entered the stadium and the number of newly infected individuals, and to compare them with actual reported cases. The model analysis revealed an 86%-95% reduction in the infection risk due to the implementation of face-mask wearing and hand washing. Among the individual measures, face-mask wearing was particularly effective, and the infection risk increased as the face-mask-wearing proportion decreased. A linear relationship was observed between infection risk at mass gathering events and the infection prevalence. Furthermore, the number of newly infected individuals was also dependent on the number of spectators and the capacity proportion independent of the infection prevalence, confirming the importance of considering spectator capacity in infection risk management. These results highlight that it is beneficial for organisers to ensure prevention compliance and to mitigate or limit the number of spectators according to the prevalence of local infection. Both the estimated and reported numbers of newly infected individuals after the events were small, below 10 per 3-4 million spectators, despite a small gap between these numbers.

A surgical mask worn by the patient in addition to the barrier box reduces the droplet spray during endoscopy

2021 ◽  
pp. 1-4
Author(s):  
Muhammad Ali Qadeer ◽  
Zaigham Abbas
Keyword(s):  
Face Mask ◽  
Small Hole ◽  
Free Access ◽  
Front Wall ◽  
Nasal Prong ◽  
Proper Position ◽  
The Face ◽  
Droplet Spray ◽  
Made In

Recent guidelines for the prevention of COVID-19 advocate that all the elective procedures should be postponed as these produce aerosols that may affect the staff engaged. Sagami R et al and Neven L et al published the use of a barrier box to prevent the spread of droplets.1, 2 We have done some modifications to this technique. Our endoscopic shield is made of three plastic square walls with a height and width of 50 cm and a length of 40 cm. The wall facing the patient has a hole of 10cm for insertion of the scope. The foot and head sides of the cube are left open. The opening in the head side helps the assistant to keep the patient in proper position, along with the mouth-piece and nasal prong. One may argue that it would lead to the spread of droplets but the previous study has shown that the droplets fall more on the wall facing the patient’s mouth, hence placing the surgical mask over the patient’s face further reduces the head-ward spread of droplets.3 This also helps to facilitate the to and fro movement of the box so that the intubation hole moves away and the intact part of the front wall faces the mouth. A surgical mask with a small hole is placed in a way that the hole is aligned with the mouthpiece hole. The shield is placed over the patient’s head. The scope is passed through the endoscopic port made in the wall of the shield facing the patient and endoscopy is performed. This technique has a few advantages. First, it gives free access to the assistant during the procedure. Second, putting the face mask further reduces the risk of the spread of droplets. Third, an appropriate window for endoscope insertion allows the operator to work at ease, especially during challenging procedures. Continuous....

Criticalities and Advantages of the Use of Artificial Intelligence in Research

2022 ◽  
pp. 161-175
Author(s):  
Jessica Camargo Molano ◽  
Jacopo Cavalaglio Camargo Molano
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Public Schools ◽  
School System ◽  
Detection System ◽  
Rapid Development ◽  
Academic Research ◽  
The Face ◽  
The Impact ◽  
Machine Learning Models

In recent years, artficial intelligence, through the rapid development of machine learning and deep learning, has started to be used in different sectors, even in academic research. The objective of this study is a reflection on the possible errors that can occur when the analysis of human behavior and the development of academic research rely on artificial intelligence. To understand what errors artificial intelligence can make more easily, three cases have been analyzed: the use of the IMPACT system for the evaluation of school system in the District of Columbia Public Schools (DCPS) in Washington, the face detection system, and the “writing” of the first scientific text by artificial intelligence. In particular, this work takes into consideration the systematic errors due to the polarization of data with which the machine learning models are trained, the absence of feedback and the problem of minorities who cannot be represented through the use of big data.

scholarly journals Face Mask Detection System

2021 ◽  
Vol 9 (VII) ◽  
pp. 1400-1402
Author(s):  
Yatharth Khansali
Keyword(s):  
Real Time ◽  
Detection System ◽  
Face Mask ◽  
World Health ◽  
Public Places ◽  
The World ◽  
The Face ◽  
Time Requirements ◽  
Health Organization ◽  
Protective Mask

COVID-19 pandemic has affected the world severely, according to the World Health Organization (WHO), coronavirus disease (COVID-19) has globally infected over 176 million people causing over 3.8 million deaths. Wearing a protective mask has become a norm. However, it is seen in most public places that people do not wear masks or don’t wear them properly. In this paper, we propose a high accuracy and efficient face mask detector based on MobileNet architecture. The proposed method detects the face in real-time with OpenCV and then identifies if it has a mask on it or not. As a surveillance task, it supports motion, and is trained using transfer learning and compared in terms of both precision and efficiency, with special attention to the real-time requirements of this context.

scholarly journals Autonomic Face Mask Detection with Deep Learning: an IoT Application

2021 ◽  
Author(s):  
◽  
V. H. Benitez-Baltazar
Keyword(s):  
Deep Learning ◽  
Detection System ◽  
Face Mask ◽  
World Health ◽  
Image Tracking ◽  
Critical Areas ◽  
Machine Learning Model ◽  
The World ◽  
The Face ◽  
Health Organization

A new and deadly virus known as SARS-CoV-2, which is responsible for the coronavirus disease (COVID-19), is spreading rapidly around the world causing more than 3 million deaths. Hence, there is an urgent need to find new and innovative ways to reduce the likelihood of infection. One of the most common ways of catching the virus is by being in contact with droplets delivered by a sick person. The risk can be reduced by wearing a face mask as suggested by the World Health Organization (WHO), especially in closed environments such as classrooms, hospitals, and supermarkets. However, people hesitate to use a face mask leading to an increase in the risk of spreading the disease, moreover when the face mask is used, sometimes it is worn in the wrong way. In this work, an autonomic face mask detection system with deep learning and powered by the image tracking technique used for the augmented reality development is proposed as a mechanism to request the correct use of face masks to grant access to people to critical areas. To achieve this, a machine learning model based on Convolutional Neural Networks was built on top of an IoT framework to enforce the correct use of the face mask in required areas as it is requested by law in some regions.

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