KEYLESS ACCESS CONTROL WITH NEURO AND NEURO-MECHANICAL FINGERPRINTS

Patent №

US 11,244,526

Granted

2022-02-08

Filed 2020

Owner

Lab

AI components

3

vision · planning · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

16903117

In accordance with one embodiment, an access control system is disclosed. The access control system comprises an access control panel including a touchable surface, a multi-dimensional touch sensor under the touchable surface, and a processor coupled to the multi-dimensional touch sensor. The multi-dimensional touch sensor captures a multi-dimensional motion signal including a micro-motion signal component representing neuro-mechanical micro-motions of a user touching the multi-dimensional touch sensor. The processor performs signal processing of the multi-dimensional motion signal to obtain the micro-motion signal component; and extracts unique values of predetermined features from the micro-motion signal component to form a neuro-fingerprint (NFP) that uniquely identifies the user. The NFP can be used as a gatekeeper to control entry into homes, offices, buildings, or other real properly typically protected by access control.

VisionPlanningAI hardwareG07C 9/257G06F 21/32G06F 21/35G07C 13/00G06V 40/15G07C 9/26

AI classification

Vision0.98
AI hardware0.96
Planning0.54
Machine learning0.01
Natural language0.00
Evolutionary computation0.00
Speech0.00
Knowledge representation0.00
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