Internet of Things-based smart helmet to detect possible COVID-19 infections

Ahlawat, Chanchal; Krishnamurthi, Rajalakshmi

doi:10.1016/b978-0-12-824557-6.00004-2

Cited by 5 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These 'smart helmets' instantaneously obtain additional personal information about the home address and detect the body temperature of individuals on public transportation. In the meantime, a Chinese company, Hanwang Technology Ltd, claimed that they had created the nation's first facial detection system to detect people wearing or without masks (Ahlawat and Krishnamurthi 2022). substantial disadvantages in this field that hinder AI from being fully absorbed into the current healthcare sector.…”

Section: Latest Inventions In the Use Of Ai In Covid-19mentioning

confidence: 99%

Artificial Intelligence in Tackling Coronavirus and Future Pandemics

Quazi,

Singh,

Saha

et al. 2024

J Exp Bio & Ag Sci

View full text Add to dashboard Cite

SARS-COV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) was initially tested in Wuhan City, China, in December 2019 and had a devastating impact worldwide, exterminating more than 6 million people as of September 2022. It became the biggest worldwide health crisis since the 1918 influenza outbreak. Viruses generally mutate randomly, so predicting how SARS-CoV-2 will transform over the next few months or years and which forms will predominate is impossible. The possibilities for virus mutation, in theory, are practically endless. Enabling researchers to determine which antibodies have the potential to be most effective against existing and future variations could help machine learning to assist in drug discovery. In the COVID-19 pandemic, AI has benefited four key areas: diagnosis, clinical decision-making for public health, virtual assistance, and therapeutic research. This study conducted a discourse analysis and textual evaluation of AI (deep learning and machine learning) concerning the COVID-19 outbreak. Further, this study also discusses the latest inventions that can be very helpful in future pandemic detection. COVID-19 has already changed our lives, and in the future, we might be able to deal with pandemics like this with the help of AI. This review has also emphasized the legal implications of AI in the battle against COVID-19.

show abstract

Section: Latest Inventions In the Use Of Ai In Covid-19mentioning

confidence: 99%

Artificial Intelligence in Tackling Coronavirus and Future Pandemics

Quazi,

Singh,

Saha

et al. 2024

J Exp Bio & Ag Sci

View full text Add to dashboard Cite

show abstract

“…As a part of the new way of operating, the authors presented all techniques for handling data preprocessing, analysis, and challenges to IoT. The research presented in [ 106 ] introduced a concept and design of an innovative smart helmet that identified coronavirus based on thermal images. For real-time monitoring of the screening process, the thermal camera technology is equipped with smart helmets and IoT devices.…”

Section: Artificial Intelligence and Machine Learning (Ml)mentioning

confidence: 99%

A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media

Butt

Malik

Qamar

et al. 2023

Sensors

View full text Add to dashboard Cite

Coronaviruses are a well-established and deadly group of viruses that cause illness in both humans and animals. The novel type of this virus group, named COVID-19, was firstly reported in December 2019, and, with the passage of time, coronavirus has spread to almost all parts of the world. Coronavirus has been the cause of millions of deaths around the world. Furthermore, many countries are struggling with COVID-19 and have experimented with various kinds of vaccines to eliminate the deadly virus and its variants. This survey deals with COVID-19 data analysis and its impact on human social life. Data analysis and information related to coronavirus can greatly help scientists and governments in controlling the spread and symptoms of the deadly coronavirus. In this survey, we cover many areas of discussion related to COVID-19 data analysis, such as how artificial intelligence, along with machine learning, deep learning, and IoT, have worked together to fight against COVID-19. We also discuss artificial intelligence and IoT techniques used to forecast, detect, and diagnose patients of the novel coronavirus. Moreover, this survey also describes how fake news, doctored results, and conspiracy theories were spread over social media sites, such as Twitter, by applying various social network analysis and sentimental analysis techniques. A comprehensive comparative analysis of existing techniques has also been conducted. In the end, the Discussion section presents different data analysis techniques, provides future directions for research, and suggests general guidelines for handling coronavirus, as well as changing work and life conditions.

show abstract

“…A GSM is used to transmit notifications whenever there is a detection of a temperature that is higher than normal. A GPS is responsible for determining the geolocation of an individual by use of position coordinates after which the GSM sends a notification to relevant authorities (Ahlawat and Krishnamurthi, 2022).…”

Section: Gsm and Gps Modulesmentioning

confidence: 99%

IOT-Based Smart Helmet for COVID-19 Detection and Management

Gazzawe

2023

Journal of Computer Science

View full text Add to dashboard Cite

Covid-19 is one of the pandemics that has shocked the world. Having originated from China, the virus rapidly spread across many countries of the world. There was a need to come up with mechanisms to manage the spread of the virus. The traditional methods of temperature capture through thermal handheld gun thermometers were tedious and exposed the officers to the same virus. Therefore, due to technological advancement, the Internet of Things has been widely used with smart devices being developed. This study proposes an IoT-enabled smart helmet that scans individuals for high temperatures using a thermal camera, identifies individuals by capturing their images using an optical camera, and sends alerts and information to authorized officers' decision-making and further action. For instance, they would notify the identified individual and give guidelines on how to self-manage based on the COVID-19 management guidelines such as quarantine, exercise, self-distance, handwashing, sanitizing, and dietary needs. The integration of technologies in the smart helmet application is beneficial in addressing safety measures and enhanced healthcare and monitoring of patients. For instance, in crowded areas, manual testing can be challenging hence the need for a contactless screening. The implications in real-time data analysis, concurrency, Human-Computer Interaction, remote monitoring, data security, and interdisciplinary collaboration have enhanced operation and decision-making. The knowledge, once tested, will form the basis for advanced research and implementations in various domains such as manufacturing industries. The methodology involved data capture (input), processing, and output. Materials used include thermal and optical cameras for data input, GSM and Google location applications, Arduino IDE, and mobile phone applications. The study used simulation at a mall's entry point and captured the temperature of 8 individuals. Out of the 8 individuals, 3 had high temperatures whereas the rest registered normal temperatures. Temperature measurements were verified by healthcare personnel through a second measure of temperature.

show abstract

Internet of Things-based smart helmet to detect possible COVID-19 infections

Cited by 5 publications

References 42 publications

Artificial Intelligence in Tackling Coronavirus and Future Pandemics

Artificial Intelligence in Tackling Coronavirus and Future Pandemics

A Survey on COVID-19 Data Analysis Using AI, IoT, and Social Media

IOT-Based Smart Helmet for COVID-19 Detection and Management

Contact Info

Product

Resources

About