F3S: Free Flow Fever Screening
Kunal Rao, Giuseppe Coviello, Min Feng, Biplob Debnath, Wang-Pin, Hsiung, Murugan Sankaradas, Yi Yang, Oliver Po, Utsav Drolia, Srimat, Chakradhar

TL;DR
F3S is a real-time, contactless fever screening system that fuses visual and thermal data to accurately detect elevated body temperatures in free-flow environments, even with occlusions or protective gear.
Contribution
The paper introduces a novel edge machine learning system that dynamically aligns visual and thermal data for accurate fever detection in real-world settings.
Findings
Successfully deployed at large commercial sites
Accurately detects elevated temperatures despite occlusions and PPE
Real-time, contactless screening for thousands of individuals
Abstract
Identification of people with elevated body temperature can reduce or dramatically slow down the spread of infectious diseases like COVID-19. We present a novel fever-screening system, F3S, that uses edge machine learning techniques to accurately measure core body temperatures of multiple individuals in a free-flow setting. F3S performs real-time sensor fusion of visual camera with thermal camera data streams to detect elevated body temperature, and it has several unique features: (a) visual and thermal streams represent very different modalities, and we dynamically associate semantically-equivalent regions across visual and thermal frames by using a new, dynamic alignment technique that analyzes content and context in real-time, (b) we track people through occlusions, identify the eye (inner canthus), forehead, face and head regions where possible, and provide an accurate temperature…
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