# US 11,029,741 B2 · Deactivating a display of a smart display device based on a vision-based mechanism > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,029,741 B2 - Document ID: US11029741B2 - Status: Granted - Kind: B2 - Application number: 16/235,370 - Filed: 2018-12-28 - Published: 2020-07-02 - Granted: 2021-06-08 - Earliest claimed: 2018-12-28 - Assignees: Baidu USA LLC - Applicants: Baidu USA LLC - Inventors: Xuchen Yao - Web page: https://patentgrep.com/patent/US11029741B2 ## CPC - G06F 1/3203: Power management, i.e. event-based initiation of a power-saving mode - G06F 1/3231: Monitoring the presence, absence or movement of users - G06F 1/3265: {Power saving in display device} - G06F 3/013: {Eye tracking input arrangements (G06F3/015 takes precedence)} - G06N 20/00: Machine learning - G06T 7/246: using feature-based methods, e.g. the tracking of corners or segments - G06T 7/579: from motion - G06V 40/103: {Static body considered as a whole, e.g. static pedestrian or occupant recognition} - G06T 2207/30196: Human being; Person - Y02D 10/00: Energy efficient computing, e.g. low power processors, power management or thermal management - Y02D 30/50: in wire-line communication networks, e.g. low power modes or reduced link rate - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - Y02D: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE ## Abstract An image associated with a smart display device is received from a light capture device. Characteristics of the image received from the light capture device are identified. A determination is made as to whether to deactivate a display of the smart display device based on the characteristics of the image. In response to determining to deactivate the display of the smart display device based on the characteristics of the image, the display of the smart display device is deactivated. ## Claims ### Claim 1 A computer-implemented method for control of a smart display device based on characteristics, the method comprising: receiving, from a remote server, a machine learning model for analyzing a plurality of characteristics of images associated with the smart display device, wherein the machine learning model is trained by the remote server; receiving, from a light capture device, an image associated with the smart display device; identifying a plurality of characteristics of the image received from the light capture device; determining, utilizing the machine learning model, whether to deactivate a display of the smart display device based on the plurality of characteristics of the image, wherein the plurality of characteristics of the image include a portion of the image occupied by a person; determining whether the portion of the image occupied by a face of the person is greater than a threshold portion; and in response to determining to deactivate the display of the smart display device based on the plurality of characteristics of the image and the portion of the image occupied by the face of the person exceeding the threshold portion, deactivating the display of the smart display device. ### Claim 2 (depends on 1) The method of claim 1, wherein the plurality of characteristics of the image comprise at least one of the movement of an object in the image, the person being present in the image, a distance of the person from the smart display device or a gaze direction associated with the person. ### Claim 3 (depends on 2) The method of claim 2, wherein determining to deactivate the display of the smart display device comprises: determining that the movement of the object in the image is below a threshold, wherein determining that the movement of the object in the image is below the threshold comprises tracking a contour of the object. ### Claim 4 (depends on 2) The method of claim 2, wherein determining to deactivate the display of the smart display device comprises: determining that the person is present in the image. ### Claim 5 (depends on 2) The method of claim 2, wherein determining to deactivate the display of the smart display device comprises: determining that the distance of the person from the smart display device is below a distance threshold. ### Claim 6 (depends on 2) The method of claim 2, wherein determining to deactivate the display of the smart display device comprises: determining that the gaze direction associated with the person corresponds to a position of the smart display device relative to the person. ### Claim 7 A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising: receiving, from a remote server, a machine learning model for analyzing a plurality of characteristics of images associated with a smart display device, wherein the machine learning model is trained by the remote server; receiving, from a light capture device, an image associated with the smart display device; identifying a plurality of characteristics of the image received from the light capture device; determining, utilizing the machine learning model, whether to deactivate a display of the smart display device based on the plurality of characteristics of the image, wherein the plurality of characteristics of the image include a portion of the image occupied by a person; determining whether the portion of the image occupied by a face of the person is greater than a threshold portion; and in response to determining to deactivate the display of the smart display device based on the plurality of characteristics of the image and the portion of the image occupied by the face of the person exceeding the threshold portion, deactivating the display of the smart display device. ### Claim 8 (depends on 7) The non-transitory machine-readable medium of claim 7, wherein the plurality of characteristics of the image comprise at least one of movement of an object in the image, the person being present in the image, a distance of the person from the smart display device or a gaze direction associated with the person. ### Claim 9 (depends on 8) The non-transitory machine-readble medium of claim 8, wherein determining to deactivate the display of the smart display device comprises: determining that the movement of the object in the image is below a threshold, wherein determining that the movement of the object in the image is below the threshold comprises tracking a contour of the object. ### Claim 10 (depends on 8) The non-transitory machine-readable medium of claim 8, wherein determining to deactivate the display of the smart display device comprises: determining that the person is present in the image. ### Claim 11 (depends on 8) The non-transitory machine-readable medium of claim 8, wherein determining to deactivate the display of the smart display device comprises: determining that the distance of the person from the smart display device is below a distance threshold. ### Claim 12 (depends on 8) The non-transitory machine-readable medium of claim 8, wherein determining to deactivate the display of the smart display device comprises: determining that the gaze direction associated with the person corresponds to a position of the smart display device relative to the person. ### Claim 13 A system, comprising: a processor; and a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations, the operations including: receiving, from a remote server, a machine learning model for analyzing a plurality of characteristics of images associated with a smart display device, wherein the machine learning model is trained by the remote server; receiving, from a light capture device, an image associated with the smart display device; identifying a plurality of characteristics of the image received from the light capture device; determining, utilizing the machine learning model, whether to deactivate a display of the smart display device based on the plurality of characteristics of the image, wherein the plurality of characteristics of the image include a portion of the image occupied by a person; determining whether the portion of the image occupied by a face of the person is greater than a threshold portion; and in response to determining to deactivate the display of the smart display device based on the plurality of characteristics of the image and the portion of the image occupied by the face of the person exceeding the threshold portion, deactivating the display of the smart display device. ### Claim 14 (depends on 13) The system of claim 13, wherein the plurality of characteristics of the image comprise at least one of movement of an object in the image, the person being present in the image, a distance of the person from the smart display device or a gaze direction associated with the person. ### Claim 15 (depends on 14) The system of claim 14, wherein determining to deactivate the display of the smart display device comprises: determining that the movement of the object in the image is below a threshold, wherein determining that the movement of the object in the image is below the threshold comprises tracking a contour of the object. ### Claim 16 (depends on 14) The system of claim 14, wherein determining to deactivate the display of the smart display device comprises: deermining that the distance of the person from the smart display device is below a distance threshold. ### Claim 17 (depends on 14) The system of claim 14, wherein determining to deactivate the display of the smart display device comprises: determining that the gaze direction associated with the person corresponds to a position of the smart display device relative to the person.