Fever detection camera leverages AI, scene analytics

May 6, 2020
The IN Depth Fever Detection Camera system offers highly advanced AI and scene analytics capabilities for real-time detection and assessments of elevated human body temperature.
IN Depth
In Depth

The IN Depth Fever Detection Camera system utilizes highly advanced artificial intelligence (AI) and scene analytics for real-time detection and assessments of elevated human body temperature. Employing a hybrid of both thermal imaging and visible sensors, the system is billed as an extremely powerful tool for determining elevated human body temperature.

IN Depth's system can unobtrusively scan at a safe distance up to 30 individuals per second for seamless and extremely fast assessments. The camera's AI facial recognition capability can determine over 20,000 faces in real-time and identify "as known" or "as strangers." The camera's AI capabilities can also detect scenarios such as an individual entering with or without a mask, or if they remove their mask, all in real-time.

The system can also determine if someone's temperature is too low indicating a condition such as hypothermia; which can lead to cardiac arrest. The IN Depth Fever Detection Camera system offers a variety of image and/or scenario search inquiries such as gender, age, expression, glasses, mustache, in addition to "mask or no mask."

The manufacturer says the system also supports most 3rd party scene analytics to enable much richer features or scenarios such as safe social distancing practices, cough/sneeze detection, voice/face authentication for keyless entry, and many more.

More of the system's key features include: high accuracy -/+ .3 human body temperature assessment; AI feature detection pinpoints the thermal sensor measurement of the inner canthus of the eye; AI obstruction detection system will assess and pinpoint to the next accurate region such as the temple or forehead; extreme low light camera can see beyond human eyes; real-time alerts upon detection of no mask or mask removal.

Learn more at http://www.indepthcam.com. Watch the following demo video of the IN Depth system in action:

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