A method for enabling automated waste management is described. In one embodiment, data related to an event detected via a sensor coupled to a trash receptacle is received. A waste collection vehicle is configured to collect trash directly from the trash receptacle. The data related to the detected event is processed. A notification is generated based on the processing of the data. In some cases, a notification based on a determination of a volume of trash within the trash receptacle is generated, where the volume is determined via a ranging sensor. A notification is generated based on a determination of a weight of the trash within the trash receptacle, where the weight is determined via a load sensor.

A system is disclosed for monitoring waste collected by a service vehicle. The system may include a receptacle having an opening configured to receive waste, and an indicator associated with the receptacle and configured to visually indicate an amount of waste inside the receptacle. The system may also include a sensor configured to capture an image of the visual indicator and to generate a signal corresponding to the image, a display, and a controller in communication with the sensor and the display. The controller may be configured to cause a representation of the amount of waste in the receptacle to be shown on the display based on the signal.

Disclosed are embodiments that relate to apparatus for compacting materials. The apparatus comprising a mechanical linkage designed to be mounted within the interior of an existing waste receptacle, a compression surface operably connected to the mechanical linkage, and a motor operably connected to the mechanical linkage, wherein the motor is capable of extending and retracting the mechanical linkage, thereby lowering and raising the compression plate. Some embodiments will take advantage of integrated sensors and processors in order to capture and analyze large amounts of data related to the compactor operations. This data may lead to refinements and greater efficiency in the waste disposal processes.

Provided is a robotic refuse container system, including: a first robotic refuse container, including: a chassis; a set of wheels; a rechargeable battery; a processor; a refuse container; a plurality of sensors; and a medium storing instructions that when executed by the processor effectuates operations including: collecting sensor data; determining a movement path of the first robotic refuse container from a first location to a second location; and pairing the first robotic refuse container with an application of a communication device; and the application of the communication device, configured to: receive at least one input designating at least a schedule, an instruction to navigate the first robotic refuse container to a particular location, and a second movement path of the first robotic refuse container; and display a status; wherein the first robotic refuse container remains parked at the first location until receiving an instruction to execute a particular action.

A dumpster includes a sensor module including a first sensor module detecting an impact or vibration applied to the dumpster, a second sensor module detecting an inclination of the dumpster, and a third sensor module detecting a loading amount of waste loaded in the dumpster, and a dumpster hole that is provided on both sides of the dumpster and to which an end of a front loader provided on the waste collection vehicle is docked in a collection work by the waste collection vehicle.

Disclosed are a module apparatus for garbage collection and an operation method for the module apparatus. A module apparatus for garbage collection, according to the present invention, comprises: a case which is provided so as to be attached to a garbage receptacle and has a first hole on the lower end; an integrated circuit module which is accommodated inside the case; a battery for supplying power to the integrated circuit module; and a sensor unit which is electrically connected to the integrated circuit module and is for sensing the volume of garbage accumulated inside the garbage receptacle, wherein the first hole is aligned with a second hole formed on the garbage receptacle and the detection unit detects the volume of the garbage through the first and second holes.

Methods, non-transitory computer readable media, and waste collection apparatuses are disclosed that provide artificial intelligence based waste management and optimized waste collection scheduling. In some examples, an artificial intelligence model can be used to classify images of waste and determine whether a correct waste type is deposited in a collection bin. In other examples, utilization data is periodically received via communication network(s) from a waste collection device within a collection area. The utilization data is determined from sensor data obtained at the waste collection device. A waste collection schedule is determined for the waste collection device based on the utilization data for the waste collection device and stored historical utilization data for other waste collection device(s) within the collection area. The determined waste collection schedule is then provided to an operational management device via other communication network(s) to facilitate more efficient waste collection for the collection area.