IR Camera Fever Detection: A Critical Need in Pandemic Times

Fever detection has become a crucial aspect of our lives, especially in the wake of the COVID-19 pandemic.

The prior outbreak of coronavirus disease 2019 (COVID-19) had spread to over 200 countries, with around 120 million confirmed cases worldwide and more than 2.5 million deaths since the start of the outbreak. The coronavirus infection emerged in Wuhan, China, in December 2019, if you have been living under a rock.

The Limitations of Traditional Fever Detection Methods

Traditional methods of fever detection, such as manual temperature checks, are time-consuming, labor-intensive, and prone to human error. These methods are not only inefficient but also pose a risk to the health of the personnel conducting the checks.

The Rise of Infrared Thermal Imaging (IRI)

Infrared thermal imaging (IRI) has emerged as a contact-less technology able to monitor human skin temperature for biomedical applications and in real-life contexts. Its capacity to detect fever was exploited for mass screening during past epidemic emergencies as well as for the potential future variants of a COVID-19 pandemic.

IRI-Based Fever Detection Systems

Several IRI-based fever detection systems have been developed, including a smart helmet with an embedded IRI system that allows for automatic face detection and fever screening. Another system employs a thermopile-based multiple vital-signs-based infection screening system, which achieved a sensitivity of 88% in fever screening.

The Need for Automated Fever Detection Systems

Automated fever detection systems are essential in high-traffic areas such as airports, hospitals, and public gatherings, where manual temperature checks are impractical. These systems can help identify individuals with elevated temperatures, enabling prompt action to be taken to prevent the spread of infectious diseases.

A Solution: AI-Powered Fever Detection System

Our solution involves developing a fever detection system using an IR camera feed. The system detects faces or heads, measures temperatures, and identifies fever. If a temperature exceeds a certain threshold, it flags the individual as having a fever, indicating with a red or green flag. The system saves images to a database, allowing for later retrieval and tracking of individuals with high fever instances.

Learn to Build AI-Powered Fever Detection Systems

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