# US 11,897,690 B1 · Systems and methods for enhancing waste disposal and energy efficiency using sensor and alternative power technologies > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,897,690 B1 - Document ID: US11897690B1 - Status: Granted - Kind: B1 - Application number: 17/018,813 - Filed: 2020-09-11 - Granted: 2024-02-13 - Earliest claimed: 2019-11-25 - Assignees: State Farm Mutual Automobile Insurance Company - Applicants: State Farm Mutual Automobile Insurance Company - Inventors: Matthew Megyese; Sarah Ann Lockenvitz; Paul Bates; Nicholas Carmelo Marotta; Cathy Jo Roth; Austin Rowley; Jared Wheet - Web page: https://patentgrep.com/patent/US11897690B1 ## CPC - G06Q 10/30: Administration of product recycling or disposal - B07C 5/3422: {using video scanning devices, e.g. TV-cameras} - B65F 1/004: {the receptacles being divided in compartments by partitions} - B65F 1/1607: {with filling openings} - G06N 20/00: Machine learning - G06Q 30/0208: Trade or exchange of goods or services in exchange for incentives or rewards - G08B 21/182: {Level alarms, e.g. alarms responsive to variables exceeding a threshold} - H04B 1/3827: Portable transceivers - H04W 4/38: for collecting sensor information - B07C 2501/0054: Sorting of waste or refuse - B65F 2001/008: {Means for automatically selecting the receptacle in which refuse should be placed} - B65F 2210/128: Data transmitting means - B65F 2210/138: Identification means - B65F 2210/1443: Electrical - B65F 2210/168: Sensing means - H04W 4/02: Services making use of location information - Y02W 90/00: Enabling technologies or technologies with a potential or indirect contribution to greenhouse gas [GHG] emissions mitigation - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - B07C: POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING (specially adapted for a specific purpose covered by another class, see the relevant place, e.g. A43D33/06, B23Q7/12) - B65F: GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE (disinfecting refuse A61L; refuse disintegrators B02C; sorting refuse B03B; B07B; handcarts for transporting refuse receptacles B62B; sack holders B65B67/00; converting refuse into fertilisers C05F; converting refuse into solid fuels C10L; sewers, cesspools E03F; arrangements in buildings for the disposal of refuse E04F17/10; refuse-consuming furnaces F23G; {for surgical articles A61B50/36}) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS - H04B: TRANSMISSION - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - Y02W: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT ## Abstract A computer system including sensor and alternative power technologies for enhancing waste disposal and energy efficiency using is provided. The computer system may be configured to receive waste data and recycling data from at least one sensor located proximate to a waste bin, and determine a level of waste in the waste bin based upon the received waste data, and a level of contamination of the waste bin based upon the received recycling data. The computer system may be also configured to determine whether collection of waste in the waste bin or decontamination of the waste bin is required. The computer system may be further configured to generate an alert including information corresponding collection or decontamination of the waste bin, and transmit the alert to one or more client devices associated with at least one user. ## Claims ### Claim 1 A computer system for enhancing waste disposal, and directing waste and recyclables to corresponding compartments within a multi-compartment waste bin including a waste compartment and a recycling compartment, wherein the multi-compartment waste bin includes at least one moveable lid positioned within the multi-compartment waste bin, the computer system including at least one processor and associated transceiver in communication with at least one memory device and at least one sensor, the at least one processor and associated transceiver programmed to: receive sensor data associated with an item from at least one sensor, wherein the sensor data is generated by the at least one sensor located proximate to a multi-compartment waste bin; utilize machine learning techniques to analyze the sensor data to determine whether the item is a waste item or a recyclable item; if the item is determined to be a waste item from analysis of the sensor data, automatically cause the multi-compartment waste bin to move the at least one moveable lid to direct the waste item, after being placed within the multi-compartment waste bin, to move toward a waste compartment within the multi-compartment waste bin by opening the waste compartment and closing the recycling compartment within the multi-compartment waste bin; and if the item is determined to be a recyclable item from analysis of the sensor data, automatically cause the multi-compartment waste bin to move the at least one moveable lid to direct the recyclable item, after being placed within the multi-compartment waste bin, to move toward a recyclable compartment within the multi-compartment waste bin by opening the recycling compartment and closing the waste compartment within the multi-compartment waste bin to facilitate separation of waste and recyclables into dedicated waste compartments and recyclable compartments, and the collection of recyclable items. ### Claim 2 (depends on 1) The computer system of claim 1, wherein the at least one processor and associated transceiver is further programmed to: determine, based upon a level of waste detected by a level sensor, whether collection of waste in the waste compartment within the multi-compartment waste bin is required; in response to determining that the collection of waste in the waste compartment within the multi-compartment waste bin is required, generate an alert including information corresponding to the multi-compartment waste bin for waste collection; and transmit the alert, via wireless communication, to one or more client devices associated with at least one user to notify the at least one user that the collection of waste in the waste compartment within the multi-compartment waste bin is required. ### Claim 3 (depends on 1) The computer system of claim 1, wherein the at least one processor and associated transceiver is further programmed to: determine, based upon a level of recyclables detected by a level sensor, whether collection of recyclables in the recyclable compartment within the multi-compartment waste bin is required; in response to determining that the collection of recyclables in the recyclables compartment within the multi-compartment waste bin is required, generate an alert including information corresponding to the multi-compartment waste bin for the collection of recyclables; and transmit the alert, via wireless communication, to one or more client devices associated with at least one user to notify the at least one user that the collection of recyclables in the recyclables compartment within the multi-compartment waste bin is required. ### Claim 4 (depends on 1) The computer system of claim 1, wherein the at least one sensor is a digital camera, and the sensor data includes digital image data. ### Claim 5 (depends on 1) The computer system of claim 1, wherein the at least one processor and associated transceiver is further programmed to: utilize machine learning techniques to analyze the sensor data to determine whether the item associated with the sensor data is plastic, aluminum, glass, or cardboard. ### Claim 6 (depends on 1) The computer system of claim 1, wherein the at least one movable lid is configured to allow gravity to move the waste item into the waste compartment within the multi-compartment waste bin once the waste item is placed or dropped into the multi-compartment waste bin. ### Claim 7 (depends on 1) The computer system of claim 1, wherein the at least one movable lid is configured to allow gravity to move the recyclable item into the recyclable compartment within the multi-compartment waste bin once the recyclable item is placed or dropped into the multi-compartment waste bin. ### Claim 8 (depends on 1) The computer system of claim 1, wherein the at least one processor and associated transceiver is further programmed to: receive location data from the multi-compartment waste bin; and transmit the location data to a client device associated with at least one user. ### Claim 9 (depends on 1) The computer system of claim 1, wherein the at least one processor is further programmed to store, in the at least one memory device, location data and user data received from one or more client devices of at least one user. ### Claim 10 (depends on 1) The computer system of claim 1, wherein the at least one processor and associated transceiver is further programmed to: generate one or more notifications including at least one of recycling practices, bin locations, recycling days alerts, non-recycling days alerts, and bulletins addressing recycling; and transmit the one or more notifications to at least one of client devices and electronic signs. ### Claim 11 (depends on 1) The computer system of claim 1, wherein the at least one processor and associated transceiver is further programmed to: receive, from the at least one sensor, a location of one or more multi-compartment waste bins, wherein the one or more multi-compartment waste bins include at least one internal recyclable bin and one internal waste bin; generate, using the received location, one or more maps including the one or more multi-compartment waste bins; and transmit the one or more maps to one or more client devices for display on the one or more client devices. ### Claim 12 (depends on 11) The computer system of claim 11, wherein the at least one processor and associated transceiver is further programmed to: generate a route map using the generated one or more maps; prioritize the location of the one or more multi-compartment waste bins in the route map, wherein the prioritization is performed based upon ae level of waste of each multi-compartment waste bin; and transmit the route map to one or more waste collection providers. ### Claim 13 A computer-implemented method for enhancing waste disposal, and directing waste and recyclables to corresponding compartments within a multi-compartment waste bin including a waste compartment and a recycling compartment, the multi-compartment waste bin including at least one moveable lid positioned within the multi-compartment waste bin, the method being implemented by at least one processor and associated transceiver in communication with at least one memory device and at least one sensor, the method comprising: receiving sensor data associated with an item from at least one sensor, wherein the sensor data is generated by the at least one sensor located proximate to a multi-compartment waste bin; utilizing machine learning techniques to analyze the sensor data to determine whether the item is a waste item or a recyclable item; if the item is determined to be a waste item from analysis of the sensor data, automatically causing the multi-compartment waste bin to move the at least one moveable lid to direct the waste item, after being placed within the multi-compartment waste bin, to move toward a waste compartment within the multi-compartment waste bin by opening the waste compartment and closing the recycling compartment within the multi-compartment waste bin; and if the item is determined to be a recyclable item from analysis of the sensor data, automatically causing the multi-compartment waste bin to move the at least one moveable lid to direct the recyclable item, after being placed within the multi-compartment waste bin, to move toward a recyclable compartment within the multi-compartment waste bin by opening the recycling compartment and closing the waste compartment within the multi-compartment waste bin to facilitate separation of waste and recyclables into dedicated waste compartments and recyclable compartments, and the collection of recyclable items. ### Claim 14 (depends on 13) The computer-implemented method of claim 13 further comprising: determining, based upon a level of waste detected by a level sensor, whether collection of waste in the waste compartment within the multi-compartment waste bin is required; in response to determining that the collection of waste in the waste compartment within the multi-compartment waste bin is required, generating an alert including information corresponding to the multi-compartment waste bin for waste collection; and transmitting the alert, via wireless communication, to one or more client devices associated with at least one user to notify the at least one user that the collection of waste in the waste compartment within the multi-compartment waste bin is required. ### Claim 15 (depends on 13) The computer-implemented method of claim 13 further comprising: determining, based upon a level of recyclables detected by a level sensor, whether collection of recyclables in the recyclable compartment within the multi-compartment waste bin is required; in response to determining that the collection of recyclables in the recyclables compartment within the multi-compartment waste bin is required, generating an alert including information corresponding to the multi-compartment waste bin for the collection of recyclables; and transmitting the alert, via wireless communication, to one or more client devices associated with at least one user to notify the at least one user that the collection of recyclables in the recyclables compartment within the multi-compartment waste bin is required. ### Claim 16 (depends on 13) The computer-implemented method of claim 13, wherein the at least one sensor is a digital camera, and the sensor data includes digital image data. ### Claim 17 (depends on 13) The computer-implemented method of claim 13 further comprising: utilizing machine learning techniques to analyze the sensor data to determine whether the item associated with the sensor data is plastic, aluminum, glass, or cardboard.