A system is disclosed for auditing waste retrieved by a service vehicle. The system may have an optical sensor mountable onboard the service vehicle and configured to capture image data associated with the waste as the waste falls into the service vehicle during completion of a waste service activity. The system may also have at least one controller in communication with the optical sensor and being configured to generate at least one of an alert and a recommendation regarding a mix of the waste based on the image data.

This disclosure describes a collection bin for a waste collection vehicle. The collection bin includes a weighing system with a processor for measuring the weight of material collected from each waste container and associating this weight with appropriate data, such as the owner of the waste container.

A waste management system audits waste collected by a service vehicle from clients. The system has a camera capturing images of waste collected in the collection hopper of the service vehicle. A controller compares the waste images to event criteria to determine if a service event has occurred and then associates a client with the service event, in which the client is identified by an accompanying identification system. The controller then identifies one or more waste images as event image data associated with the service event subsequent to determination that the service event has occurred and compares the event image data to content criteria to make an inference regarding a content of the collected waste. The inference is stored in association with the identified client and can trigger further action, for example notifications to the client or automated adjustments to invoicing to the client.

Recyclable identification systems and methods are disclosed. A recyclable identification system, for example, may include a collection vehicle having a container and an imaging system disposed on the collection vehicle and positioned on the collection vehicle to image objects as the objects pass into the container. The recyclable identification system may also include a transceiver and a controller communicatively coupled with the imaging system and the transceiver. The controller may receive a plurality of images from the imaging system, the plurality of images includes images of objects that have been dumped into the container; determine a location associated with the plurality of images; combine the video or the plurality of images with the location; select an image or images of interest from frames of the plurality of images that include images of recyclables; and transmit the image of interest to a cloud computing system via the transceiver.

A recycling bin for classification and compression of renewable resources, comprising a recycling bin housing, and a recycling bin inner container and a pressurizing device provided inside the recycling bin housing, wherein a weighing device is further provided between a bottom of the recycling bin inner container and the recycling bin housing; the pressurizing device comprises a compression beam provided in an upper part of an inner cavity of the recycling bin inner container, and a driving part for driving the compression beam to move; an upper end of the driving part is connected to the compression beam, and a lower end is connected to the bottom of the recycling bin inner container.

Systems and methods for determining shrinkage of a commodity sold by a store are provided which may include: identifying data indicative of a volume of the commodity, associating a label with a container that holds the commodity, collecting the label information with a reader and transmitting collected label information to at least one server, automatically determining data characterizing the material in the container, associating the label information and the data characterizing the material in the container, and determining performance data related to the commodity by comparing the data indicative of the volume of the commodity supplied to the store, the data indicative of the volume of the commodity sold by the store, and the data characterizing the material in the container.

Provided is a method for managing garbage disposal credit reporting. The method comprises: a smart garbage can performing online real-time marking of bagged garbage, photographing scattered garbage after it is disposed of, and a system obtaining information transmitted by the smart garbage can, after each time garbage is disposed of, the smart garbage can saving for a certain period of time the traceable information generated by the disposed garbage; when inspecting the disposed garbage, if a delivery error is discovered, the inspecting client uploading the erroneous marking information on the garbage bag and uploading the erroneous scattered garbage photograph, in order to evaluate the credit of the person who throws garbage into the garbage according to whether the information about the type of garbage disposed is correct.

A secured “smart” container is disclosed for collecting green waste products including operational functions for collection, video surveillance and monitoring capacity. The secured “smart” container may include one or more programmable logic controllers. Operational functions are performed by electrical components including sensors to determine green waste deposits characteristics and contents. Operational functions are further adapted to send and receive data, operationally wirelessly, and configured and adapted to utilize solar derived electric power and, optionally, electric power from other sources. Embodiments provide constant 24 hour/7 days a week video surveillance and alert monitoring capabilities. Disclosed systems and methods also include collection and transportation of waste contents from the container to a processing subsystem. Additionally, disclosed systems may also include a monitoring system for monitoring the collection of green waste product, delivery of the same to the processing subsystem and tracking to and throughout final processing of the green waste product and handling personnel.

A method includes receiving data from a device, the data includes at least a first amount of a first type of waste. The method includes comparing the data with a profile including historical waste data from a location, and sending notifications to the device based on the comparing operation. The notifications include information relating to the data and the profile. The device communicates the notifications to a user. The method may include receiving first goals from the device, and determining second goals based on community waste averages. The profile may include the first goals and the second goals. The method may include sending recommendations to the device based at least in part on the data and the profile. An exemplary device includes at least one sensor associated with a waste receptacle, which may be a computer vision imaging sensor.

This disclosure describes a collection bin for a waste collection vehicle. The collection bin includes a weighing system with a processor for measuring the weight of material collected from each waste container and associating this weight with appropriate data, such as the owner of the waste container.