# US 10,306,880 B2 · Administration of a wildlife repellant to protect an entity > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,306,880 B2 - Document ID: US10306880B2 - Status: Granted - Kind: B2 - Application number: 15/087,424 - Filed: 2016-03-31 - Published: 2017-10-05 - Granted: 2019-06-04 - Earliest claimed: 2016-03-31 - Assignees: Intel Corporation - Applicants: Intel Corporation - Inventors: Hong Wei Teh; Tomer Rider - Web page: https://patentgrep.com/patent/US10306880B2 ## CPC - A01M 29/18: using ultrasonic signals - A01M: CATCHING, TRAPPING OR SCARING OF ANIMALS (appliances for catching swarms or drone-catching A01K57/00; fishing A01K69/00 - {A01K99/00}; biocides, pest repellants or attractants A01N); APPARATUS FOR THE DESTRUCTION OF NOXIOUS ANIMALS OR NOXIOUS PLANTS ## Abstract Systems, apparatuses, and/or methods to protect an entity. A detector may detect an animal proximate to an entity based on sensor data from a plurality of sensors. The plurality of sensors may be positioned, for example, on the entity. In addition, a protector may administer a mechanical repellant from a protection device to repel the animal proximate to the entity. The mechanical repellant may include, for example, an ultrasound wave, a vibration wave, and so on. Moreover, the mechanical repellant may be specific to a type of animal to repel the animal proximate to the entity. The mechanical repellant may further be harmless to the animal (or the entity) and/or inapplicable to at least one other animal in the environment. ## Claims ### Claim 1 An apparatus comprising: a detector to automatically detect an animal proximate to an entity based on sensor data from a plurality of sensors on the entity, a selector to dynamically select a mechanical repellant to be specific to a type of animal to repel the animal proximate to the entity, and a protector to automatically administer the mechanical repellant from a protection device to repel the animal proximate to the entity. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the plurality of sensors is to include, one or more proximity sensors to generate proximity sensor data for an object that is to be located proximate to a vehicle, one or more weight sensors to generate weight sensor data for an object that is to be in contact with the vehicle, one or more image capture sensors to generate image sensor data for an object that is to be in motion adjacent to the vehicle, and one or more motion sensors to generate motion sensor data for an object that is to be in motion under the vehicle. ### Claim 3 (depends on 1) The apparatus of claim 1, wherein a proximity sensor is to face outwardly away from the entity towards an environment, wherein a weight sensor is face outwardly upward from the entity towards the environment, wherein an infrared sensor to face outwardly away from the entity at a plurality of different angles towards the environment, and wherein a motion sensor is to face outwardly downward from the entity towards the environment. ### Claim 4 (depends on 1) The apparatus of claim 1, further including, an analyzer to analyze the sensor data to determine a characteristic of an object, and a classifier to determine the type of animal for the animal proximate to the entity based on the characteristic of the object. ### Claim 5 (depends on 4) The apparatus of claim 4, further including a comparator to compare the characteristic of the object with reference data to determine the type of animal for the animal proximate to the entity. ### Claim 6 (depends on 1) The apparatus of claim 1, wherein the selector is to dynamically select the mechanical repellant further to be harmless to the animal and inapplicable to at least one other animal. ### Claim 7 (depends on 1) The apparatus of claim 1, further including a user interface to specify an operational context for the apparatus. ### Claim 8 (depends on 1) The apparatus of claim 1, further including, an ultrasonic protection device to emit as the mechanical repellant an ultrasound wave at least through air to repel the animal proximate to the entity, and a vibration protection device to emit as the mechanical repellant a vibration wave at least through a part of the entity to repel the animal proximate to the entity. ### Claim 9 At least one non-transitory computer readable storage medium comprising a set of instructions, which when executed by a processor, cause the processor to: automatically detect an animal proximate to an entity based on sensor data from a plurality of sensors on the entity; dynamically select a mechanical repellant to be specific to a type of animal to repel the animal proximate to the entity; and automatically administer the mechanical repellant from a protection device to repel the animal proximate to the entity. ### Claim 10 (depends on 9) The at least one non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the processor to: generate proximity sensor data for an object that is to be located proximate to a vehicle; generate weight sensor data for an object that is to be in contact with the vehicle; generate image sensor data for an object that is to be in motion adjacent to the vehicle; and generate motion sensor data for an object that is to be in motion under the vehicle. ### Claim 11 (depends on 9) The at least one non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the processor to: analyze the sensor data to determine a characteristic of an object; and determine the type of animal for the animal proximate to the entity based on the characteristic of the object. ### Claim 12 (depends on 11) The at least one non-transitory computer readable storage medium of claim 11, wherein the instructions, when executed, cause the processor to compare the characteristic of the object with reference data to determine the type of animal for the animal proximate to the entity. ### Claim 13 (depends on 9) The at least one non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the processor to dynamically select the mechanical repellant further to be harmless to the animal and inapplicable to at least one other animal. ### Claim 14 (depends on 9) The at least one non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the processor to specify an operational context for the apparatus. ### Claim 15 (depends on 9) The at least one non-transitory computer readable storage medium of claim 9, wherein the instructions, when executed, cause the processor to: emit as the mechanical repellant an ultrasound wave at least through air to repel the animal proximate to the entity; and emit as the mechanical repellant a vibration wave at least through a part of the entity to repel the animal proximate to the entity. ### Claim 16 A method comprising: automatically detecting an animal proximate to an entity based on sensor data from a plurality of sensors on the entity; dynamically selecting a mechanical repellant to be specific to a type of animal to repel the animal proximate to the entity; and automatically administering the mechanical repellant from a protection device to repel the animal proximate to the entity. ### Claim 17 (depends on 16) The method of claim 16, further including: generating proximity sensor data for an object located proximate to a vehicle; generating weight sensor data for an object in contact with the vehicle; generating image sensor data for an object in motion adjacent to the vehicle; and generating motion sensor data for an object in motion under the vehicle. ### Claim 18 (depends on 16) The method of claim 16, further including: analyzing the sensor data to determine a characteristic of an object; and determining the type of animal for the animal proximate to the entity based on the characteristic of the object. ### Claim 19 (depends on 18) The method of claim 18, further including comparing the characteristic of the object with reference data to determine the type of animal for the animal proximate to the entity. ### Claim 20 (depends on 16) The method of claim 16, further including dynamically selecting the mechanical repellant further to be harmless to the animal and inapplicable to at least one other animal. ### Claim 21 (depends on 16) The method of claim 16, further including specifying an operational context for the apparatus. ### Claim 22 (depends on 16) The method of claim 16, further including: emitting as the mechanical repellant an ultrasound wave at least through air to repel the animal proximate to the entity; and emitting as the mechanical repellant a vibration wave at least through a part of the entity to repel the animal proximate to the entity. ### Claim 23 An apparatus comprising: a detector to automatically detect an animal proximate to an entity based on sensor data from a plurality of sensors on the entity, wherein the plurality of sensors is to include one or more proximity sensors to generate proximity sensor data for an object that is to be located proximate to a vehicle, one or more weight sensors to generate weight sensor data for an object that is to be in contact with the vehicle, one or more image capture sensors to generate image sensor data for an object that is to be in motion adjacent to the vehicle, and one or more motion sensors to generate motion sensor data for an object that is to be in motion under the vehicle, and a protector to automatically administer a mechanical repellant from a protection device to repel the animal proximate to the entity. ### Claim 24 At least one non-transitory computer readable storage medium comprising a set of instructions, which when executed by a processor, cause the processor to: automatically detect an animal proximate to an entity based on sensor data from a plurality of sensors on the entity, wherein the processor is to generate proximity sensor data for an object that is to be located proximate to a vehicle, generate weight sensor data for an object that is to be in contact with the vehicle, generate image sensor data for an object that is to be in motion adjacent to the vehicle, and generate motion sensor data for an object that is to be in motion under the vehicle; and automatically administer a mechanical repellant from a protection device to repel the animal proximate to the entity. ### Claim 25 A method comprising: automatically detecting an animal proximate to an entity based on sensor data from a plurality of sensors on the entity, the method including generating proximity sensor data for an object located proximate to a vehicle, generating weight sensor data for an object in contact with the vehicle, generating image sensor data for an object in motion adjacent to the vehicle, and generating motion sensor data for an object in motion under the vehicle; and automatically administering a mechanical repellant from a protection device to repel the animal proximate to the entity.