Design of a cheap pulse Oximeter for home care systems

In the current pandemic time, one of the important parameters for assessing the health status of a patient with COVID 19 is level of blood oxygenation. The aim of our work is devoted to the development and construction of a pulse Oximeter based on MAX ICs. The initial pulse oxymetry studies were concerned with issues such as device size and power efficiency. Reduced power consumption and size are the major causes of our progress. We picked low-power electronic components to reduce power consumption. We used a diode field with two green, one red, one infrared, and two photodiodes as a light source and detector. A high-speed four-channel AD converter converts the signal from analog to digital. The signal is smoothed using an average filter in the algorithm. We found peaks that can be utilized to determine heart rate after smoothing the signal. The blood Oximeter level is calculated by processing the amplitude of red and infrared signals collected by a photodetector. Test algorithms were performed on the Arduino platform. The output of the device are values of blood oxygenation and heart rate. © 2022 IEEE.

IoT Based System for Detecting the Number of People and their Distribution in Classroom

This paper proposes a smart system for detecting the number of people in the classroom and their distribution over the available seats. The system is based on Arduino nodes used as the Internet of Things (IoT) modules and Raspberry PI as the central unit for data collection, evaluation, and storage. The system's primary purpose is to evaluate the number of people in the classroom because of the COVID-19 restrictions and automatically check the distance between sitting people. During the system design, we put personal privacy in the first place, and therefore we do not use any cameras. © 2022 IEEE.

The Intelligent System for Mask Detection using Deep Learning

The main goal of the paper is to develop and design an intelligent system for automatic conditional access in critical virologic situations. The detection of proper use of face-mask, touchless temperature measurement, and counting incoming/outcoming people for single or multiple entrance doors or gates are the main objectives of this system. Originality and innovativeness of the paper are already in the idea, to create a new generation of affordable guard systems based on artificial intelligence with an emphasis on the pandemic situation in the world. In this paper, we will describe relevant works that used deep learning in security with compliance with pandemic regulations in comparison with proposed solution. The proposed technology will enable the start of a new generation of guard systems based on artificial intelligence with an emphasis on the pandemic regulations. This will create space for innovative solutions in the security of buildings, shops, factories, public transport stations, airports, etc. The implementation of this technology can bring revolutionary changes in society in actual situation and in the future. © 2022 IEEE.

Hyperparameter Tuning of ConvLSTM Network Models

Deep learning algorithms have achieved amazing performance in computer vision area. However, a biggest problem deep learning has, is the high dependency on hyper-parameters. The algorithm results may be different, depending on hyper-parameters. This paper presents an effective method for hyper-parameter tuning using deep learning. The deep neural network structure for video classification using Convolutional Long Short-Term Memory (ConvLSTM) was used. The proposed method for hyper-parameter tuning using ConvLSTM was described. This proposed method with hyper-parameter tuning methods (Grid search, Bayesian optimization and Genetic algorithm) was compared. The experiment results show that proposed approach using ConvLSTM can be compared with the results obtained from the methods analogs to the proposed approach. However, we are looking for other hyper-parameters, for example number of filters, filter size, number of epochs, batch size and training optimization algorithm. The proposed approach can be used for correct or incorrect use of face mask during COVID-19 pandemic. © 2021 IEEE.