US2020342367A1PendingUtilityA1

Service detection and recommendation system

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Assignee: RUBICON GLOBAL HOLDINGS LLCPriority: Dec 4, 2018Filed: Jul 13, 2020Published: Oct 29, 2020
Est. expiryDec 4, 2038(~12.4 yrs left)· nominal 20-yr term from priority
G06Q 10/30B65F 2210/168G06Q 10/04G06Q 10/00B65F 3/00G06N 20/00G06Q 10/047G01B 11/022G01B 11/26
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Claims

Abstract

A system is disclosed for managing waste services. The system may include a waste detector mounted onboard a service vehicle and configured to capture image data of a receptacle encountered by the service vehicle. The system may also include a display, and a controller in communication with the waste detector and the display. The controller may be configured to recognize the receptacle within the image data, and to determine a fill status of the receptacle based on the image data. The controller may also be configured to selectively determine a customer recommendation for a different sized receptacle based on the fill status, and to cause a dispatch to provide the different sized receptacle based on the customer recommendation.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A waste management system, comprising:
 a waste detector mounted onboard a service vehicle and configured to capture image data of a receptacle encountered by the service vehicle;   a display; and   a controller in communication with the waste detector and the display, the controller being configured to:
 recognize the receptacle within the image data; 
 determine a fill status of the receptacle based on the image data; 
 selectively determine a customer recommendation for a different sized receptacle based on the fill status; and 
 cause a dispatch to provide the different sized receptacle based on the customer recommendation. 
   
     
     
         2 . The waste management system of  claim 1 , wherein the controller is further configured to determine an identification of a customer associated with the receptacle, and to determine the customer recommendation based at least partially on the identification. 
     
     
         3 . The waste management system of  claim 2 , wherein the controller is further configured to determine the identification based on the image data. 
     
     
         4 . The waste management system of  claim 2 , further including a location device configured to detect a location of the service vehicle, wherein the controller is in further communication with the location device and configured to determine the identification based on the location of the service vehicle detected at a time of image data capturing. 
     
     
         5 . The waste management system of  claim 4 , wherein the controller is further configured to:
 determine a trend of the customer to overfill or underfill the receptacle; and   determine the customer recommendation for the different sized receptacle based on the trend.   
     
     
         6 . The waste management system of  claim 1 , wherein the controller is further configured to provide the image data to a machine-learning (ML) model, wherein the ML model is configured to identify portions of the image data. 
     
     
         7 . The waste management system of  claim 1 , wherein the controller is further configured to:
 determine existence of waste-related parameters in the image data; and   selectively determine the fill status of the receptacle based on the waste-related parameters.   
     
     
         8 . The waste management system of  claim 7 , wherein the waste-related parameters include at least one of a receptacle lid angle, a mound height above a top edge of the receptacle, and an amount of waste around a base of the receptacle. 
     
     
         9 . The waste management system of  claim 1 , wherein the controller is further configured to selectively filter the image data based on at least one of a distance from the service vehicle to the receptacle at a time of image data capturing and an angle between the waste detector and the receptacle at the time of image data capturing. 
     
     
         10 . The waste management system of  claim 1 , wherein the display is located offboard the service vehicle. 
     
     
         11 . The waste management system of  claim 1 , further including a sensor configured to generate a signal during servicing of the receptacle by the service vehicle that is indicative of a weight of waste in the receptacle, wherein the controller is in further communication with the sensor and configured to determine the fill status of the receptacle based at least in part on the signal. 
     
     
         12 . The waste management system of  claim 1 , wherein the controller is further configured to automatically schedule the service vehicle to swap out the receptacle based on the customer recommendation. 
     
     
         13 . A method of managing waste services, comprising:
 capturing, by a waste detector onboard a first service vehicle, image data of a receptacle encountered by the first service vehicle;   automatically recognizing, by a controller in communication with the waste detector, the receptacle within the image data;   determining a fill status of the receptacle based on the image data;   selectively determining a customer recommendation for a different sized receptacle based on the fill status; and   automatically dispatching a second service vehicle to provide the different sized receptacle based on the customer recommendation.   
     
     
         14 . The method of  claim 13 , further including identifying a customer associated with the receptacle, wherein selectively determining the customer recommendation includes determining the customer recommendation based at least partially on an identity of the customer. 
     
     
         15 . The method of  claim 14 , wherein identifying the customer includes identifying the customer based on the image data. 
     
     
         16 . The method of  claim 14 , further including detecting a location of the first service vehicle at a time of image data capturing, wherein identifying the customer includes identifying the customer based at least partially on the location of the first service vehicle. 
     
     
         17 . The method of  claim 14 , further including determining a trend of the customer to overfill or underfill the receptacle, wherein selectively determining the customer recommendation includes determining the customer recommendation based on the trend. 
     
     
         18 . The method of  claim 13 , further including determining existence of waste-related parameters in the image data, wherein determining the fill status of the receptacle includes determining the fill status of the receptacle based on the waste-related parameters. 
     
     
         19 . The method of  claim 18 , wherein the waste-related parameters include at least one of a receptacle lid angle, a mound height above a top edge of the receptacle, and an amount of waste around a base of the receptacle. 
     
     
         20 . A non-transitory computer readable medium containing computer-executable programming instructions for performing a method of waste service management, the method comprising:
 capturing image data of a receptacle encountered by a first service vehicle using a waste detector;   automatically recognizing the receptacle within the image data;   determining from the image data a fill status of the receptacle based on at least one of a receptacle lid angle, a mound height above a top edge of the receptacle, and an amount of waste around a base of the receptacle;   identifying a customer associated with the receptacle based on the image data;   determining a trend of the customer to overfill or underfill the receptacle;   selectively determining a recommendation for the customer for a different sized receptacle based on the trend; and   automatically dispatching a second service vehicle to provide the different sized receptacle based on the recommendation.

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