AI Biometric ID is a radical innovation rather than incremental. Due to IoT computation power and sufficient level of data processing we can finally open a new chapter in human behavior studies. Our machine learning algorithms went further than present facial recognition technologies. We now analyze the whole human body, its motion, gestures and gait patterns, and even psycho profiles.
Our product is not only aimed to put human identification and profiling to the next step in the development, but to produce a lot of valuable data for upcoming public security, military, and retail R&D projects and collaborations with academia.
There are multiple companies providing Facial Recognition for surveillance, identification and tracking. However, all these products use face and fail when the face can’t be scanned.
Several companies provide recognition and tracking using only physical attributes, such as type and color of the outfit or body shape. As an example – People Tracker by CyberLink. But all these platforms don’t actually identify a person, they track attributes of the person of interest. So, it’s not disguise resistant and gives not much additional information.
They are using models that can predict age, gender, some anthropometric information, but they’re unable to identify people without facial recognition.