IoT Based Non-Contact Portable Thermal Scanner for COVID Patient Screening

Abstract

Coronavirus disease (COVID-19) is a contagious disease which is caused by a cluster of RNA viruses. Humans are affected by upper respiratory tract infections that can range from mild to deadly state. It is the most challenging work to identify the person in the early stage, who are infected in COVID-19. As a result, it can minimize the secondary transmission also. Here we propose an IoT based non-contact thermal scanner for COVID patient screening. The prototype system can measure temperature in non-contact condition, then the data are store in the cloud database. In utilization for societal development, we developed a mobile App to assist the medical professionals in pre-screening and serve the patients who are infected by this contagious virus. By using this mobile App, we also create public awareness. So it can prevent the community from the spread as early as possible and outbreak the pandemic state.

A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives

“…These data are stored in the cloud database and can be accessed by assigned personnel from any handheld device. GPS is used to track the position of patients as well as track the areas visited by the patient [40].…”

“…These data, once collected, are used by Kinsa to monitor different regions and notify the authorities of potential hotspots. Another similar application of IoT is the non-contact thermal scanner proposed by Bhowmik et al [40]. In this, the Raspberry Pi 4 computer is connected to the GSM Sim for implementing timely alerts to the registered mobile number, to the ultrasonic sensor for sensing and alerting any cases of abnormal temperature, to an MLX90640 IR thermal sensor camera for operating it without contact and to a TFT display for displaying the detail.…”

Mobile Applications for the Implementation of Health Control against Covid-19 in Educational Centers, a Systematic Review of the Literature

“…Deep Learning and Machine Learning [28] Other Digital Technologies [29]- [50] Information and Communications Technology [51], [52] Internet of Things [53]- [59] Machine Learning [60]- [62] Machine Learning and Artificial Intelligence [63] Mobile Application [64]- [126] Smartwatch [127] Virtual Reality [128] Table IV shows the classification of articles according to the results found.…”

“…[29]- [32], [51], [53], [54], [64]- [72], [127] Monitoring [12], [24], [27], [33]- [35], [52], [73]- [88], [90], [92]- [97], [129]- [132] PARAMETERS ARTÍCLES Political [13], [98] Predictive [14]- [17], [19], [25], [26], [37]- [41], [60], [61], [63],…”

“…[29]- [32], [51], [53], [54], [64]- [72], [127] These articles take into account the monitoring parameter as they focus on creating mobile applications and strategies based on Machine Learning, Deep Learning, and Artificial Intelligence since they can be monitoring an area where there was Covid-19 and even monitor the relationship between individuals and Covid-19.…”