US2023281575A1PendingUtilityA1

Systems and methods for enhancing waste disposal and energy efficiency using sensor and alternative power technologies

Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COPriority: Nov 25, 2019Filed: May 12, 2023Published: Sep 7, 2023
Est. expiryNov 25, 2039(~13.3 yrs left)· nominal 20-yr term from priority
Y02W90/00G06N 20/00B07C 5/3422B07C 2501/0054B65F 1/004B65F 1/1607B65F 2001/008B65F 2210/128B65F 2210/138B65F 2210/1443B65F 2210/168G08B 21/182H04B 1/3827G06Q 10/30G06Q 30/0208H04W 4/38H04W 4/02
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Claims

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

exact text as granted — not AI-modified
We claim: 
     
         1 . A computer system for enhancing waste disposal, the computer system including at least one processor in communication with at least one memory device and at least one sensor, the at least one processor programmed to:
 receive sensor data associated with an item from at least one sensor, wherein the at least one sensor is located proximate to a deposit area of a multi-compartment waste bin;   determine, using a trained machine learning model, whether the item is a first item type or a second item type;   in response to a determination the item is the first item type, automatically direct the item to a first waste compartment within the multi-compartment waste bin; and   in response to a determination the item is the second item type, automatically direct the item to a second waste compartment within the multi-compartment waste bin.   
     
     
         2 . The computer system of  claim 1 , wherein the at least one sensor is at least one first sensor, wherein the at least one processor is further configured to:
 receive sensor data from at least one second sensor, wherein the at least one second sensor is located proximate to the first compartment within the multi-compartment waste bin; and   receive sensor data from at least one third sensor, wherein the at least one third sensor is located proximate to the second compartment within the multi-compartment waste bin.   
     
     
         3 . The computer system of  claim 2 , wherein the at least one processor is further configured to:
 determine a first level of waste in the first compartment within the multi-compartment waste bin based on sensor data from the at least one second sensor; and   determine a second level of waste in the second compartment within the multi-compartment waste bin based on sensor data from the at least one third sensor.   
     
     
         4 . The computer system of  claim 3 , wherein the at least one processor is further programmed to cause to be displayed on a user computing device, a first value corresponding to the first level of waste and a second value corresponding to the second level of waste. 
     
     
         5 . The computer system of  claim 3 , wherein the at least one processor is further configured to:
 determine, based upon the first level of waste and the second level of waste, whether collection of waste is required;   in response to a determination that collection of waste is required, generate an alert including information corresponding to the multi-compartment waste bin;   transmit the alert, via wireless communication or data transmission, to a user computing device, to notify a user associated with the user computing device that the collection of waste in the multi-compartment waste bin is required.   
     
     
         6 . 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 a user computing device. 
     
     
         7 . The computer system of  claim 1 , wherein the at least one processor is further programmed to:
 generate a waste tutorial (WT) computer application, wherein the WT computer application provides instructions to a user on waste disposal; and   transmit the WT computer application to the one or more client devices.   
     
     
         8 . The computer system of  claim 1 , wherein the at least one processor is further programmed to:
 generate one or more notifications including at least one of recycling days alerts; and   transmit the one or more notifications to at least one of the one or more client devices.   
     
     
         9 . The computer system of  claim 1 , wherein the at least one processor is further programmed to:
 receive, from the at least one sensor, a location of one or more multi-compartment waste bins;   generate, using the received location, one or more route maps including the one or more multi-compartment waste bin; and   transmit the one or more route maps to one or more client devices associated with a waste collection provider.   
     
     
         10 . The computer system of  claim 8 , wherein the at least one processor is further programmed to:
 transmit the one or more route maps to a user computing device.   
     
     
         11 . A computer-implemented method for enhancing waste disposal, the method being implemented via a computer system including at least one processor and/or 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 at least one sensor is located proximate to a deposit area of a multi-compartment waste bin;   determining, using a trained machine learning model, whether the item is a first item type or a second item type;   in response to a determination the item is the first item type, automatically directing the item to a first waste compartment within the multi-compartment waste bin; and   in response to a determination the item is the second item type, automatically directing the item to a second waste compartment within the multi-compartment waste bin.   
     
     
         12 . The computer-implemented method of  claim 11 , the method further comprising:
 receiving sensor data from at least one second sensor, wherein the at least one second sensor is located proximate to the first compartment within the multi-compartment waste bin; and   receiving sensor data from at least one third sensor, wherein the at least one third sensor is located proximate to the second compartment within the multi-compartment waste bin.   
     
     
         13 . The computer-implemented method of  claim 12 , the method further comprising:
 determining a first level of waste in the first compartment within the multi-compartment waste bin based on sensor data from the at least one second sensor; and   determining a second level of waste in the second compartment within the multi-compartment waste bin based on sensor data from the at least one third sensor.   
     
     
         14 . The computer-implemented method of  claim 13 , the method further comprising causing to be displayed, on a user computing device, a first value corresponding to the first level of waste and a second value corresponding to the second level of waste. 
     
     
         15 . The computer-implemented method of  claim 13 , the method further comprising:
 determining, based upon the first level of waste and the second level of waste, whether collection of waste is required;   in response to a determination that collection of waste is required, generating an alert including information corresponding to the multi-compartment waste bin;   transmitting the alert, via wireless communication or data transmission, to a user computing device, to notify a user associated with the user computing device that the collection of waste in the multi-compartment waste bin is required.   
     
     
         16 . The computer-implemented method of  claim 11 , the method further comprising storing, in the at least one memory device, location data and user data received from a user computing device. 
     
     
         17 . The computer-implemented method of  claim 11 , the method further comprising:
 generating a waste tutorial (WT) computer application, wherein the WT computer application provides instructions to a user on waste disposal; and   transmitting the WT computer application to the one or more client devices.   
     
     
         18 . The computer-implemented method of  claim 11 , the method further comprising:
 generating one or more notifications including at least one of recycling days alerts; and   transmitting the one or more notifications to at least one of the one or more client devices.   
     
     
         19 . The computer-implemented method of  claim 11 , the method further comprising:
 receiving, from the at least one sensor, a location of one or more multi-compartment waste bins;   generating, using the received location, one or more route maps including the one or more multi-compartment waste bins; and   transmitting the one or more route maps to one or more client devices associated with a waste collection provider.   
     
     
         20 . A non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor of a thin gaming device, the computer-executable instructions cause the at least one processor to:
 receive sensor data associated with an item from at least one sensor, wherein the at least one sensor is located proximate to a deposit area of a multi-compartment waste bin;   determine, using a trained machine learning model, whether the item is a first item type or a second item type;   in response to a determination the item is the first item type, automatically direct the item to a first waste compartment within the multi-compartment waste bin; and   in response to a determination the item is the second item type, automatically direct the item to a second waste compartment within the multi-compartment waste bin.

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