ZCON Face AI
A New Tool for Health Management: Measure 8 physiological parameters including blood pressure, blood oxygen, heart rate, heart rate variability, respiratory rate, atrial fibrillation risk, fatigue index, and stress index with just a 15-second facial scan!
Developed by ZCON Technology, the Face AI product utilizes artificial intelligence (AI) facial recognition and contactless technology to detect physiological data, applicable from home care to telemedicine. Most current physiological monitoring devices are contact-based, often suffering from issues like high cost, battery consumption, and the need for regular calibration. The core technology of ZCON Face AI is Remote Photoplethysmography (rPPG), which uses reflected ambient light to measure subtle changes beneath the skin on the face. This method extracts signals from minute periodic color variations in the light reflected from the skin caused by the heartbeat. rPPG can be roughly described as a modified version of reflective-mode PPG, where ambient light replaces LEDs and a video camera replaces the photodetector. This contactless measurement uses imaging to detect changes in facial blood flow. All you need for detection is a standard Android or Apple smartphone, and the entire process takes only 40 seconds.
The data detected by ZCON Face AI has been validated by human trials (IRB-certified) at a Taiwanese medical center, achieving 95% accuracy. The technology has also received an invention patent certificate and has been featured in multiple papers published in international academic journals. It is currently undergoing certification applications for TFDA (Taiwan Food and Drug Administration) and FDA (U.S. Food and Drug Administration).
Developed by ZCON Technology, the Face AI product utilizes artificial intelligence (AI) facial recognition and contactless technology to detect physiological data, applicable from home care to telemedicine. Most current physiological monitoring devices are contact-based, often suffering from issues like high cost, battery consumption, and the need for regular calibration. The core technology of ZCON Face AI is Remote Photoplethysmography (rPPG), which uses reflected ambient light to measure subtle changes beneath the skin on the face. This method extracts signals from minute periodic color variations in the light reflected from the skin caused by the heartbeat. rPPG can be roughly described as a modified version of reflective-mode PPG, where ambient light replaces LEDs and a video camera replaces the photodetector. This contactless measurement uses imaging to detect changes in facial blood flow. All you need for detection is a standard Android or Apple smartphone, and the entire process takes only 40 seconds.
The data detected by ZCON Face AI has been validated by human trials (IRB-certified) at a Taiwanese medical center, achieving 95% accuracy. The technology has also received an invention patent certificate and has been featured in multiple papers published in international academic journals. It is currently undergoing certification applications for TFDA (Taiwan Food and Drug Administration) and FDA (U.S. Food and Drug Administration).
A New Tool for Health Management: Measure 8 physiological parameters including blood pressure, blood oxygen, heart rate, heart rate variability, respiratory rate, atrial fibrillation risk, fatigue index, and stress index with just a 15-second facial scan!
Developed by ZCON Technology, the Face AI product utilizes artificial intelligence (AI) facial recognition and contactless technology to detect physiological data, applicable from home care to telemedicine. Most current physiological monitoring devices are contact-based, often suffering from issues like high cost, battery consumption, and the need for regular calibration. The core technology of ZCON Face AI is Remote Photoplethysmography (rPPG), which uses reflected ambient light to measure subtle changes beneath the skin on the face. This method extracts signals from minute periodic color variations in the light reflected from the skin caused by the heartbeat. rPPG can be roughly described as a modified version of reflective-mode PPG, where ambient light replaces LEDs and a video camera replaces the photodetector. This contactless measurement uses imaging to detect changes in facial blood flow. All you need for detection is a standard Android or Apple smartphone, and the entire process takes only 40 seconds.
The data detected by ZCON Face AI has been validated by human trials (IRB-certified) at a Taiwanese medical center, achieving 95% accuracy. The technology has also received an invention patent certificate and has been featured in multiple papers published in international academic journals. It is currently undergoing certification applications for TFDA (Taiwan Food and Drug Administration) and FDA (U.S. Food and Drug Administration).
Developed by ZCON Technology, the Face AI product utilizes artificial intelligence (AI) facial recognition and contactless technology to detect physiological data, applicable from home care to telemedicine. Most current physiological monitoring devices are contact-based, often suffering from issues like high cost, battery consumption, and the need for regular calibration. The core technology of ZCON Face AI is Remote Photoplethysmography (rPPG), which uses reflected ambient light to measure subtle changes beneath the skin on the face. This method extracts signals from minute periodic color variations in the light reflected from the skin caused by the heartbeat. rPPG can be roughly described as a modified version of reflective-mode PPG, where ambient light replaces LEDs and a video camera replaces the photodetector. This contactless measurement uses imaging to detect changes in facial blood flow. All you need for detection is a standard Android or Apple smartphone, and the entire process takes only 40 seconds.
The data detected by ZCON Face AI has been validated by human trials (IRB-certified) at a Taiwanese medical center, achieving 95% accuracy. The technology has also received an invention patent certificate and has been featured in multiple papers published in international academic journals. It is currently undergoing certification applications for TFDA (Taiwan Food and Drug Administration) and FDA (U.S. Food and Drug Administration).
A New Tool for Health Management: Measure 8 physiological parameters including blood pressure, blood oxygen, heart rate, heart rate variability, respiratory rate, atrial fibrillation risk, fatigue index, and stress index with just a 15-second facial scan!
Developed by ZCON Technology, the Face AI product utilizes artificial intelligence (AI) facial recognition and contactless technology to detect physiological data, applicable from home care to telemedicine. Most current physiological monitoring devices are contact-based, often suffering from issues like high cost, battery consumption, and the need for regular calibration. The core technology of ZCON Face AI is Remote Photoplethysmography (rPPG), which uses reflected ambient light to measure subtle changes beneath the skin on the face. This method extracts signals from minute periodic color variations in the light reflected from the skin caused by the heartbeat. rPPG can be roughly described as a modified version of reflective-mode PPG, where ambient light replaces LEDs and a video camera replaces the photodetector. This contactless measurement uses imaging to detect changes in facial blood flow. All you need for detection is a standard Android or Apple smartphone, and the entire process takes only 40 seconds.
The data detected by ZCON Face AI has been validated by human trials (IRB-certified) at a Taiwanese medical center, achieving 95% accuracy. The technology has also received an invention patent certificate and has been featured in multiple papers published in international academic journals. It is currently undergoing certification applications for TFDA (Taiwan Food and Drug Administration) and FDA (U.S. Food and Drug Administration).
Developed by ZCON Technology, the Face AI product utilizes artificial intelligence (AI) facial recognition and contactless technology to detect physiological data, applicable from home care to telemedicine. Most current physiological monitoring devices are contact-based, often suffering from issues like high cost, battery consumption, and the need for regular calibration. The core technology of ZCON Face AI is Remote Photoplethysmography (rPPG), which uses reflected ambient light to measure subtle changes beneath the skin on the face. This method extracts signals from minute periodic color variations in the light reflected from the skin caused by the heartbeat. rPPG can be roughly described as a modified version of reflective-mode PPG, where ambient light replaces LEDs and a video camera replaces the photodetector. This contactless measurement uses imaging to detect changes in facial blood flow. All you need for detection is a standard Android or Apple smartphone, and the entire process takes only 40 seconds.
The data detected by ZCON Face AI has been validated by human trials (IRB-certified) at a Taiwanese medical center, achieving 95% accuracy. The technology has also received an invention patent certificate and has been featured in multiple papers published in international academic journals. It is currently undergoing certification applications for TFDA (Taiwan Food and Drug Administration) and FDA (U.S. Food and Drug Administration).
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A New Tool for Health Management: Measure 8 physiological parameters including blood pressure, blood oxygen, heart rate, heart rate variability, respiratory rate, atrial fibrillation risk, fatigue index, and stress index with just a 15-second facial scan!
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IRB Certified
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ZCON
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