Journal of Physics Conference Series · 2020 · 11 citations · 5 references
Public HealthHealth InformaticsInfectious DiseasesComputer VisionInfectious Disease InformaticsOutbreak DetectionDisease Surveillance InformaticsDisease Surveillance SystemsInfection SurveillanceInfectious Disease SurveillanceSymptom Tracking SystemsAutomated Surveillance SystemsFace Recognition AuthenticationFever ScreeningReal-time Alert SystemsReal-time Alerting SystemsReal-time Outbreak DetectionRealtime SurveillanceTracing
Abstract Since the outbreak of COVID-19 corona virus in late 2019, it has become a tremendous threat to the whole world. Driven by the mission to save lives, we develop a fever screening and tracing system which can detect patients with fever symptom, and identify the patients using face recognition. In addition, our big data AI platform enables the tracing of the patients possible. A real-time alert sent to the personnel on duty on a web or mobile app activates the action to trace the patient and the close contacts providing an effective means to control the spread of the virus.
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