Vital Sign Detection
The thermal imaging system reads, processes and analyses vital health data during a transaction, taking around two seconds. If the vital signs, temperature, heartbeat and respiration rate do not meet the criteria set by you, the system sends a notification to the service desk and stops all other transactions. Your authorised agent determines if the primary transaction could continue or proceeds to ask the user for further information. This technology can provide detail on key vital signs but is not a medical diagnostic tool.
Studies show the combined measurement of temperature, heart and respiration rate can detect influenza in 93% of cases however, using temperature as the single measurement detects only 65% of cases
The Elenium Sensor Array detects temperature and has configurable parameters defining normal or abnormal conditions. Temperature sensing is achieved using a near-infrared camera and a thermal sensor. The near-infrared camera output determines the position of a person’s forehead in a frame. The location of the forehead, tear duct and temple are then mapped and provided to the thermal sensor. The risk of measuring the temperature from a different person is minimised and is not impacted by a foreign object such as a cup of coffee.
Heart Rate Estimation
While normal heart rates vary, this information can be used in conjunction with other data points to drive a decision matrix model. The heart rate measurement is facilitated by using a near-infrared camera and a high resolution RGB camera. These cameras are able to detect the oxygenated haemoglobin in the blood flowing through vessels as it absorbs light from a specific wavelength. As a result, when the skin is exposed to continuous light of that wavelength, the reflected light changes according to variation in blood flow volume. The pulse waveform is the output that is obtained by continuing to measure reflected light. Our system uses the person’s face as the point of focus for the machine learning classifier.
Respiration is measured by using a thermal image to detect nasal region temperature changes associated with breathing. During exhalation, warm air from inside the lungs is released and increasing the temperature in the nasal region, whereas during inhalation, cool air from the external environment is breathed in and lowering the temperature. The respiration waveform can be obtained by using a thermal camera and capturing a time series of a person as they breath in and out.
Video Conferencing With Agent
As an option high quality video conferencing can support remote agent interaction. The Elenium Sensor Array used for voice recognition and head tracking is leveraged for high quality video and voice teleconferencing. Amazon Chime is a communications service used to power real time remote communication scalable over an internet connection. It enables migration of telephony workloads to AWS. AWS Voice Connector supports inbound calling and outbound calling