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 method and device for positively identifying that a dump event of a refuse container has occurred into a refuse hopper of a refuse vehicle are provided. When used with route software, alerts may be generated if a specific refuse container is missed or if an unexpected dump event occurs during the route.

A resource collection apparatus is an apparatus for collecting waste reusable as a resource. The resource collection apparatus includes an opening associated with a predetermined sorting type, an opening/closing unit configured to open and close the opening, a first detector configured to perform an operation to detect a target waste belonging to a user, and a controller configured to specify a sorting type into which the target waste is to be sorted, by using a result of the detection by the first detector. The controller switches the opening/closing unit from a closed state to an open state when the specified sorting type matches the sorting type associated with the opening.

One example embodiment is adapted for use in facilitating collection and transport of memory devices, e.g., drives, motherboards, etc., e.g., for the purposes of subsequent destruction. The example embodiment has an outer bin, also called a garage or outer enclosure, within which is placed an inner bin with wheels. Once closed and locked, the outer bin has a door that can be opened so drives or other memory devices can be inserted. The drives then fall into the inner bin and, once sufficiently filled, the inner bin be easily wheeled out from the outer bin. The inner bin has its own locking lid that is secured when transporting the inner bin with the drives, e.g., to a destruction facility or area. Other features are provided as described below. Enhanced synergistic security features include use of multi-point locking latches to secure doors and lids, metal construction of the bins, and so on. The bins are sized to facilitate efficient collection and transport of potentially sensitive data center media.

A system for depositing of recyclable articles includes an internally-compartmented structure. The compartments are accessed through hatches which are selectively closed with covers. The system includes a user-operated kiosk which controls operation of the covers in response to user information and the degree to which the compartments are filled with recyclable articles. The kiosk includes a display for directing the user to deposit the articles into specific compartments and a user interface for entry and display of user-specific information.

A method and device for positively identifying that a dump event of a refuse container has occurred into a refuse hopper of a refuse vehicle are provided. When used with route software, alerts may be generated if a specific refuse container is missed or if an unexpected dump event occurs during the route.

A system is disclosed for autonomously removing waste from a plurality of receptacles at separate locations within a service area. The system may include a service vehicle, and a plurality of transporters. The plurality of transporters may be configured to autonomously move the plurality of receptacles to the service vehicle.

A resource recovery system for recovering articles to be recycled as a resource includes a plurality of resource recovery apparatuses that recovers the discarded articles by a person discarding waste and a server apparatus that manages the plurality of resource recovery apparatuses. The server apparatus generates suggestion information including information indicating a suggestion for a location of a target resource recovery apparatus, based on a utilization result and a location of each of the plurality of resource recovery apparatuses. The target resource recovery apparatus is the resource recovery apparatus to be newly placed and/or the resource recovery apparatus that has been located and of which location is to be changed.

A system for depositing of recyclable articles includes an internally-compartmented structure. The compartments are accessed through hatches which are selectively closed with covers. The system includes a user-operated kiosk which controls operation of the covers in response to user information and the degree to which the compartments are filled with recyclable articles. The kiosk includes a display for directing the user to deposit the articles into specific compartments and a user interface for entry and display of user-specific information.

A system (1) for detecting food related products (2) before thrown away, the system comprising: one or more cameras (11); a display unit (12); a computing device (13) that is communicatively connected to the cameras and the display; and a scale (3) that is communicatively connected to the computing device, the scale holding a trash bin (31), wherein the cameras obtain an image or a video of the products when the products are within a field of view of the cameras and before the products are in the trash bin, the scale configured to weigh the products in the trash bin, and wherein the computing device obtains information about the products from the obtained image or video by applying an image recognition algorithm, receives the weight from the scale and generates and outputs data on the display unit, the data being based on the information about products and the weight.