Refuse container identification using parcel data

A computer-implemented method performed by at least one processor, the method comprising:

• receiving, by the at least one processor, sensor data generated by a sensor coupled to a refuse collection vehicle (RCV);
• analyzing, by the at least one processor, the sensor data to detect a presence of at least one triggering condition;
• receiving, by the at least one processor, location data describing a location of a location sensor of the RCV at a time of the at least one triggering condition;
• applying, by the at least one processor, an algorithm to the location data to determine a location of a container;
• and
• correlating, by the at least one processor, the location of the container to parcel data to identify an entity associated with the container.

A computer-implemented method performed by at least one processor, the method comprising:

• determining that a rate of acceleration of a refuse collection vehicle (RCV) satisfies criteria for a triggering condition;
• and
• in response to determining that the rate of acceleration of the RCV satisfies the criteria for the triggering condition:
• obtaining, by the at least one processor, location data describing a location of a location sensor of the RCV;
• applying, by the at least one processor, an algorithm to the location data to determine a location of a container;
• and
• correlating, by the at least one processor, the location of the container to parcel data to identify an entity associated with the container.

A system comprising one or more processors and one or more storage devices on which are stored instructions that are operable, when executed by the one or more processors, to cause the one or more processors to perform operations comprising:

• receiving sensor data generated by a sensor coupled to a refuse collection vehicle (RCV);
• analyzing the sensor data to detect a presence of at least one triggering condition;
• receiving location data describing a location of a location sensor of the RCV at a time of the at least one triggering condition;
• applying an algorithm to the location data to determine a location of a container;
• and
• correlating the location of the container to parcel data to identify an entity associated with the container.