Athena Fever Detection System

Friday, March 27th, 2020

Athena Fever Detection Introduction
Athena’s Fever Detection System provides fast, accurate mass screening for elevated temperatures. The system is non-invasive, non-contact, and fast. The system identifies the face of the subject, ignores hot spots like hot lights above and other hot objects on the person like a cell phone or hot coffee. The person looks at the camera, and the system finds the hottest point on the face near the eyes, called the inner canthus. Near the eyes is the area that most closely correlates with basal body temperature, so the subject needs to remove glasses and look at the camera. Athena is best utilized as the first of a two checkpoint system, where fever is then confirmed by a second medical thermometer.

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Fever Detection and how it can help stop the spread of the Coronavirus

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Fast and Frictionless
Fever screening, including SARS, Ebola, Coronavirus/COVID-19
High Precision Temperature Sensor, Accuracy within 0.4 ℃
Automatically calibrates and adjusts based on ambient temperature conditions
Continuously self-calibrating for near-zero drift
No manual recalculation needed

Blackbody sold separately to improve accuracy to 0.3 degrees C
For use inside, without crosswind, away from HVAC
Does not pick up asymptomatic, non-febrile people

Athena Fever Detection System Physical Components:
Thermal Camera and 1 ethernet cable
Processing Box with a power cord and 1 ethernet cable
Router POE  with a power cord
Stand
Medical Grade Thermometer (optional)
Setup Guide

 

Athena Fever Detection System
Easy to set up and operate
50 mk Sensitivity, 0.4 C Accuracy
Integrated Visual Camera optional
Turn-Key System
Alerts to Web Browser
Alerts to Mobile App
No external calibration source required
Athena Fever Detection Screening Interface
Secure web browser login
Simple mobile app
Operator-free automated screen
Audible alarm notifications
Alarm notification via web app
Alarm notifications via mobile app
Ambient temperature compensation
Distance compensation
Verifies Subject
Automatic alerts log
Historical archive
Integrates with Security Management Systems
Integrates with Video Management Systems example Avigilon ,  Salient 

How It Works:
The highly accurate infrared-thermal camera measures multiple points on the subjects’ face near the eye, called the inner canthus, to determine the highest temperature. By detecting and quantifying multiple points on the inner canthus, which is constantly emitting infrared energy, the artificial intelligence-based platform can then make necessary adjustments to improve accuracy. Pre-configured 99.5 F alarm thresholds send the notification, once the subject that passes into the screen is emitting energy at or above this threshold temperature. Alerts come via password-protected HTTPS web application, secure mobile app, or integrated security or video management system. The system is non-invasive, non-contact, and fast. The system identifies the face of the subject, ignores hot spots like hot lights above and other hot objects on the person like a cell phone or hot coffee. The person looks at the camera, and the system finds the hottest point on the face near the eyes, called the inner canthus. Near the eyes is the area that most closely correlates with basal body temperature, so the subject needs to look at the camera. Athena is best utilized as the first of a two checkpoint system, where fever is then confirmed by a second FDA approved medical thermometer.

Top Features Include:
Thermal Camera
The visual camera records in parallel with the infrared thermal camera so that we can show a picture to identify the subject. The real-time visual camera stream includes a visual of the Alarmed High-Temperature numerical fever reading, adjacent to the subject.
Automated Screening
The platform is automatically set up with 99.5 as (can be user-set) the alert notification threshold, and reduce the demand on operating staff because it’s “always-on”.

Fever Alarm and Notification
Temperatures above the notification threshold are automatically sent to the web application and mobile application. The same username and password are used to log in via either a web browser for the web application or mobile app.

 

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