# US 10,769,908 B1 · Secure zone monitor > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,769,908 B1 - Document ID: US10769908B1 - Status: Granted - Kind: B1 - Application number: 16/383,089 - Filed: 2019-04-12 - Granted: 2020-09-08 - Earliest claimed: 2019-04-12 - Assignees: NCR Corporation - Applicants: NCR Corporation - Inventors: Matthew Robert Burris; Sudip Rahman Khan; Jodessiah Sumpter - Web page: https://patentgrep.com/patent/US10769908B1 ## CPC - G08B 13/19613: {Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion} - G06V 20/52: Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) - G06V 40/10: Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands - G06V 40/20: Movements or behaviour, e.g. gesture recognition (recognition of facial expressions G06V40/16) - G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract Cameras capture time-stamped images within predefined areas (zones). Behaviors and actions of persons are tracked in the images with respect objects (assets) located within the zones based on rules. A risk assessment is dynamically adjusted based on the behaviors, actions, and the rules. An automated action is processed based on the risk assessment. A current risk score drives reporting, notifications, auditing, and security processes based on the rules. In an embodiment, a variety of sensors are located within the zones and provide real-time events with respect to some actions of a person or persons present within the zones. ## Claims ### Claim 1 A method, comprising: creating a session for an individual detected within images that are captured of a zone; tracking behaviors of the individual within the zone from the images, wherein tracking further includes assigning a type to each behavior, wherein assigning further includes assigning the type to a particular behavior based on detecting that a distance between the individual and an asset exceeds a threshold distance; detecting the particular behavior of the individual with respect to the asset within the zone; and initiating an audit of the session based on the particular behavior. ### Claim 2 (depends on 1) The method of claim 1 further comprising, dynamically maintaining a risk score for the session based on the behaviors. ### Claim 3 (depends on 2) The method of claim 2 further comprising, processing an automated action based on a current value assigned to the risk score during the session. ### Claim 4 (depends on 1) The method of claim 1, wherein tracking further includes obtaining events raised by sensors within the zone when the individual interacts with the asset within the zone during the session. ### Claim 5 (depends on 1) The method of claim 1, wherein tracking further includes determining the particular behavior based on the events. ### Claim 6 (depends on 1) The method of claim 1, wherein assigning further includes assigning a second type to a second particular behavior based on the individual touching, removing, adding, or moving the asset within the zone or from the zone. ### Claim 7 (depends on 1) The method of claim 1, wherein assigning further includes assigning a second type to a second particular behavior based on the individual exhibiting stress that exceeds a predefined threshold. ### Claim 8 (depends on 1) The method of claim 1, wherein assigning further includes assigning a second type to a second particular behavior based on group behaviors of a group of individuals that are with the individual within the zone during the session. ### Claim 9 (depends on 1) The method of claim 1, wherein assigning further includes assigning a second type to a second particular behavior based on detecting that the individual stops looking at another individual within the zone during the session. ### Claim 10 (depends on 9) The method of claim 9, wherein assigning further includes displaying an alert on a user-operated device based on detecting that the individual stops looking or making eye contact with the other individual. ### Claim 11 A method, comprising: creating an access session upon automated detection of an individual within a zone from images captured by cameras situated within the zone; obtaining behavior events that are detected from behaviors of an individual within the images during the access session; obtaining action events generated by sensors within the zone during the access session; calculating risk scores associated with the access session based on the behavior events and the action events; processing at least one automated action based on the current risk scores; calculating a total current risk score from the risk scores; comparing the total current risk score against a threshold risk score; determining based on the comparing a potential fraudulent situation is present for the access session; acquiring a list of action identifiers for other actions to process based on the zone and the potential fraudulent situation; and processing the other actions. ### Claim 12 (depends on 11) The method of claim 11, further comprising, storing images captured of the individual within the zone, the behavior events, the action events, and the current risk score in an audit store. ### Claim 13 (depends on 12) The method of claim 12, wherein storing further includes generating a report and a listing of individual activities for the individual within the zone based on the storing. ### Claim 14 (depends on 11) The method of claim 11, wherein processing further includes processing the at least one automated action as an alert sent to a security system. ### Claim 15 (depends on 11) The method of claim 11, wherein processing further includes processing the at least one automated action as a notification sent to an audit system to initiate an audit of the access session.