The future is password less. Our own biological and physical parameters can act as unique authentications. The healthcare industry is heavily investing in biometrics to maintain and protect secure access to health information. Various specially designed scanners, sensors, and other readers are utilized to take the readings. Additionally, intelligent algorithms are explored to accurately match biometric characteristics. Today’s need is for “the best”, “most secure” or “most accurate” biometric modality.
Biometrics refers to the “measurement of me” authentication process, which quantifies unique characteristics hardwired with a person to endorse that person’s true identity. These are well known as health advocates.
The biometric systems are broadly categorized as physical biometrics and behavioral biometrics. Physical Biostatistics majorly include fingerprint matching, facial recognition, iris identification, palm or finger vein patterns (vascular biometrics), hand geometry, lips, tongue, toe, and ear imprints. Alternatively, behavioral biometrics consists of dynamic physiological and subconscious movements like typing speed, the way of walking (gait recognition), style of holding a smartphone, gestures, voice and speech rhythms, odor matching, signature recognition. Among physical biometrics, vascular biometrics wins the crown of being the most secure and accurate modality. There are a few non-invasive biometric authentications as well such as unique syndromes by birth- 6 fingers, eye color of a person.
The main workforce for AI-driven biometric technologies is listening to patients. Also known as Implicit Authentication through Learning User Behavior. In the healthcare sector, it is believed that not all illness is visible to the naked eye, but even in these cases, biometric technology is coming up as a boon to the patients. Some noticeable research is illness could be identified in voice patterns, ‘listens’, and summarize patient-doctor conversations for potential diagnosis.
Biometric tools alone are not sufficient for strong authentication. It should be multi-level involvement- something you know (password), something you are (biometric), and something you have (token).
Company majorly focuses on delivering the best and the most accurate AI-driven smart technologies working in a most secured ecosystem which helps to identify even the minutest details of the biometrics patterns. Deep learning embedded face recognition, finger pattern authentication, toe pattern matching, voice recognition systems are a few well models. Additionally, behavioral biometric models are also developed such as emotion recognition, stress identification.
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