Applying image analytics and machine learning to lock systems in hotels

A system configured to use image analytics and machine learning in a lock system, the system comprising:

• a processor;
• and
• a memory comprising computer-executable instructions that, when executed by the processor, cause the processor to perform operations, the operations comprising:
• receiving data describing access actions, the access actions performed at an access control device based at least in part on a credential, and the data comprising, for each access action, a description of the access action, a timestamp, and an image of a person presenting the credential;
• analyzing the data to identify patterns of access;
• identifying facial characteristics of the person presenting the credential;
• associating the credential with the facial characteristics;
• detecting, based at least in part on facial recognition and the facial characteristics, that the person is proximate to the access control device;
• and
• performing an access action at the access control device based on the detecting and the patterns of access, wherein the facial recognition is used in place of the credential to provide authorization to perform the access action.

A method of using image analytics and machine learning in a two-step authentication lock system, the method comprising:

• receiving data describing access actions, the access actions performed at an access control device based at least in part on a credential, and the data comprising, for each access action, a description of the access action, a timestamp, and an image of an identifier of a person presenting the credential;
• analyzing the data to identify patterns of access;
• identifying characteristics of the identifier of a person presenting the credential;
• associating the credential with the characteristics of the identifier;
• detecting, based at least in part on image recognition and the characteristics of the identifier, that the person is proximate to the access control device;
• based at least in part on the detecting, validating a personal identification number (PIN) entered at a keyboard of the access control device with an expected PIN of the person;
• and
• performing an access action at the access control device based on the expected PIN of the person being the same as the PIN entered at the keyboard of the access control device.