Multiple-factor recognition and validation for security systems

A security system comprising:

• an image receiver device;
• a microphone;
• a local or remote neural network-based recognition processor configured to receive image information from the image receiver device;
• an access-control signal port;
• and
• a processor circuit configured to execute instructions that configure the processor circuit to:
• provide candidate face information from a first individual, received using the image receiver device, to the neural network-based recognition processor;
• receive a first recognition result, about the candidate face information, from the neural network-based recognition processor;
• provide other information from or about a second individual to the neural network-based recognition processor;
• receive a second recognition result, about the other information from or about the second individual, from the neural network-based recognition processor;
• receive a code from the first individual;
• determine whether the received code indicates a duress code,
• generate an access control signal based on the first and second recognition results, a determined type of the duress code, and based on acoustic information received using the microphone;
• and
• provide the access control signal using the access-control signal port, wherein the access control signal is configured to control a barrier to grant or deny access to a protected area.

A method for using a security system to conditionally grant or deny access to a protected area using image-based recognition, the method comprising:

• receiving candidate face information including gesture information from a first individual and receiving other facial information from a second individual;
• providing the candidate face information to a neural network-based recognition processor and, in response, receiving a first recognition result indicating whether the first individual corresponds to a first enrollee of the security system, and receiving a second recognition result indicating whether the second individual corresponds to a second enrollee of the security system;
• using the neural network-based recognition processor, detecting a hesitation attribute of the first individual using the candidate face information;
• receiving a passcode from the first individual;
• and
• conditionally granting or denying access to a secured area based on the passcode and the first and second recognition results, wherein conditionally granting or denying access to the protected area includes using the hesitation attribute.