Mask Detection Application

With covid-19 being on the Rise we needed an efficient way to take care of the growing coronavirus cases. Various Tools and techniques are used to curb the spread of the virus this project aims to develop an application that helps in detecting and identifying the individuals that are not wearing a proper face mask when out in public. The photograph is taken and uploaded there is a huge data base of individual's information for example their name, semester, identification number, university seat number, branch etc. the photographs are run through the database to identify the persons without wearing a mask using facial recognition in this application can be very effectively used to curb the cases of Corona since it identifies the mask defaulters and thus we can help in controlling the infection and the spread of the virus and save many lives.

Pattern of hygiene practices among health care workers during the COVID-19 pandemic: a tertiary health care experience from Central Kerala

Background: The recent COVID-19 pandemic has highlighted the relevance of following hygiene practices across all sectors of healthcare workers. Disparities in the correct practices among clinical and para clinical cadres of HCWs predispose to increased risk of infection. A survey was conducted to assess the hand and respiratory hygiene practices across the hospital.Methods: A cross sectional survey was conducted through a self-administered questionnaire across an online platform with questions on hand hygiene, mask and surface contamination related practices. Staff were grouped as clinical and para clinical for comparison of these practices.Results: Among the 501 respondents, 83.4% were females with a mean age of 30.78±8.48 years. Nursing staff were the majority (57.88%) followed by nonclinical and para clinical staff (20.77%). Of the study population, 96.6% performed hand wash and 97.2% refrained from giving handshakes in the previous hour. Over 60% maintained proper face mask practices. Undoing the lower tie of the mask first, was answered by 76.67% while 7.2% felt the sequence was irrelevant. Touching common surfaces were avoided by 46.3% of them, while 95% immersed their hospital attire in soap and water for 15 minutes. It was seen that a greater proportion of clinical staff had better practices when compared to para clinical and the difference statistically significant. There was no significant variation of practices with age.Conclusions: Focussed monitoring and motivation can help in improving hygiene practices among all cadres of HCWs.

Suggestions and Recommendations of Face Mask Usage during COVID 19 Pandemic

Rate of spread of SARS-CoV-2 and number of relevant deaths continue to elevate as the time elapses since its first outbreak. With no readily available curative treatment neither any effective vaccine till now to prevent the infection, practicing personal protection measures remain the only effective way to stay protected from its attack. Those who are directly exposed to the care of any confirmed or suspected COVID-19 patient, including the health care workers and caregivers, have been advised by the World Health Organization (WHO) and Centre for Disease Control and Prevention (CDC) to wear proper face masks or respirators following the guidelines. Transmission of corona virus occurs through respiratory droplets, close personal contact as well as touching stuff or surfaces polluted by the viral particles. However, several studies have already proven the effectiveness of using various face masks, according to the circumstances, in preventing the dissemination of COVID-19. Bangladesh Journal of Infectious Diseases 2020;7(1):27-32

Human gender revelation based on facial features and shape and structure of finger nails

The research on face recognition has become an integral part in the field of many engineering areas. The variation in the appearance of an human image makes proper face recognition a difficult task. However, face identification is an extremely important aspect of human identification system especially in gender identification system. Thus, this paper has aimed to detect the gender of human beings based on different frontal facial features. In this case we have considered facial images with different emotions like neutral, happy, sad, angry and surprised, respectively. To perform gender identification, frontal facial features are detected and extracted based on Region of Interest principle. Then, Fast Fourier Transform and Discrete Cosine Transform algorithmic logics have been incorporated to transform the input data from spatial domain to frequency domain, and on the resultant data further operations are performed to accomplish the task of gender identification. This has made the proffered algorithm different and unique from the existing algorithms. In addition, an alternate approach has also been proposed for gender identification and revelation based on the shape and structure of human finger nails. The latter method has primarily emphasized on the structural organization of finger nails in both male and female. The propounded algorithm has also succeeded in determining the gender of human being based on the shape and structure of human finger nails.

Template Based Pose and Illumination Invariant Face Recognition

This article presents a method “Template based pose and illumination invariant face recognition”. We know that pose and Illumination are important variants where we cannot find proper face images for a given query image. As per the literature, previous methods are also not accurately calculating the pose and Illumination variants of a person face image. So we concentrated on pose and Illumination. Our System firstly calculates the face inclination or the pose of the head of a person with various mathematical methods. Then Our System removes the Illumination from the image using a Gabor phase based illumination invariant extraction strategy. In this strategy, the system normalizes changing light on face images, which can decrease the impact of fluctuating Illumination somewhat. Furthermore, a lot of 2D genuine Gabor wavelet with various orientations is utilized for image change, and numerous Gabor coefficients are consolidated into one entire in thinking about spectrum and phase. Finally, the light invariant is acquired by separating the phase feature from the consolidated coefficients. Then after that, the obtained Pose and illumination invariant images are convolved with Gabor filters to obtain Gabor images. Then templates will be extracted from these Gabor images and one template average is generated. Then similarity measure will be performed between query image template average and database images template averages. Finally the most similar images will be displayed to the user. Exploratory results on PubFig database, Yale B and CMU PIE face databases show that our technique got a critical improvement over other related strategies for face recognition under enormous pose and light variation conditions.

Assessing respiratory exposure to harmful evaporations in a manufacturing company

Introduction: Using Hypochlorite Sodium in producing bleaches in order to disinfect and shine surfaces has been an ordinary method since 200 years ago. 10-15% solutions with PH=13 have been used for industrial purposes and 5% solutions with PH=11 have been used for domestic use. AIHA (American Industrial Hygienists Association) has announced the maximum standard exposure to this substance equal to 2mg/m3 in a period of 15 minutes. It should be noted that, based on material safety data sheet and NFPA rating explanation guide, the mentioned substance is mildly unstable (code 1), carries oxidation hazard (ox), and serious respiratory hazard (code 3). Methods: This survey has been conducted with statistical society of 39, average age of 29.82±3.66 and work experience of 2.46±6.02 who were exposed to Hypochlorite Sodium in 2019. The reference of analyzing the data include medical check-up inventory, spirometry FEV1, FVC, and FEV1/FVC relativity, using SPSS ver16, and T-test. Results: The statistical society (39 participants) had a normal distribution, with a very pleasant correlation amounts in (FEV1/FVC, FVC, FEV1) considering sig=0.13, andless possibility than (P≤0.05). therefore, the amounts before and after FEV1, and FEV1/FVC, had a meaningful difference statistically, however, taking the amount of sig=0.68 into account which was P≤0.05, no meaningful difference was observed for FVC amounts before and after respiratory exposure to Hypochlorite Sodium. Conclusion: Considering the reduction in amount of FEV1, and FEV1/FVC among the workers of the manufacturing site who were exposed to Hypochlorite Sodium, they are likely to have pulmonary obstruction, and therefore they are required to be changed in position and location of their jobs, and also appropriate ventilation system must be installed in the location of Hypochlorite Sodium evaporations. Keeping in mind the instability and corrosiveness of Hypochlorite Sodium, all employees had better use respiratory masks (preferably FFP3 in case of dusty materials), proper face shields, anti-acid gloves, anti-acid overalls, and chemical resistant boots. Keywords: Respiratory exposure assessment, Occupational Asthma, Hypochlorite Sodium, Bleach, FEV1, FVC, FEV1/FVC, CANCER.