Abstract
The COVID-19 pandemic has had catastrophic consequences all over the world since the detection of the first case in December 2019. Currently, exponential growth is expected. In order to stop the spread of this pandemic, it is necessary to respect sanitary protocols such as the mandatory wearing of masks. In this research paper, we present an affordable artificial intelligence-based solution to increase the protection against COVID-19, covering several relevant aspects to facilitate the detection and prevention of this pandemic: non-contact temperature measurement, mask detection, automatic gel-dispensing, and automatic sterilization. Our main contribution is to provide high-quality, real-time learning and analysis. To achieve this goal, we used a deep convolutional neural network (CNN) based on MobileNetV2 architecture as the learning algorithm and Advanced Encryption Standard (AES) as an encryption protocol for sending secure data to notify hospital staff. The experimental results show the effectiveness of our model by providing 99.7% accuracy in detecting masks with a runtime of 1.54 s.
Highlights
The world faces a serious pandemic named COVID-19 as a result of the new SARS-CoV-2 virus, which began in China in late December 2019.This epidemic spread quickly beyond China on February 25, 2020 for the first time [1]
We present an affordable artificial intelligence-based solution to increase the protection against COVID-19, covering several relevant aspects to facilitate the detection and prevention of this pandemic: noncontact temperature measurement, mask detection, automatic gel-dispensing, and automatic sterilization
If the module receives a signal via serial communication from the USB port with the Raspberry Pi, it sends directly to the hospital an encrypted message containing the location of the company headquarters and the abnormal temperature of the person.This encryption is determined by the Advanced Encryption Standard (AES) algorithm
Summary
The world faces a serious pandemic named COVID-19 as a result of the new SARS-CoV-2 virus, which began in China in late December 2019.This epidemic spread quickly beyond China on February 25, 2020 for the first time [1]. Coronavirus infections are frequent in humans and in most cases, they are transmitted directly (from one person to another) by respiratory droplets. They are transmitted indirectly by surfaces [4]. Our system is designed to help the fight against this pandemic by monitoring the wearing of masks to reduce the spread of viruses [7]. This system detects the fever of people without making contact.
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