Patent classifications
B65F3/001
Method and delivery of compacting materials
A method and system for compacting waste materials in a collection container. The container can be a freestanding waste container, a self-container compaction container, or a container on a waste collection vehicle. A hydraulically operated compactor blade is positioned in the raised upper portion of the container with its bottom edge a distance above the floor. A platform with a hinged portion can be included to divide the container volume into two separate compartments in order to collect different types of waste materials.
APPARATUS, METHODS AND SYSTEMS FOR FOOD WASTE RECYCLING
Disclosed herein are apparatus, methods and systems for promoting and encouraging the beneficial recycling of food waste. In one aspect, disclosed herein is a tamper resistant lid assembly for a receptacle. The lid assembly is locatable over an opening of the receptacle and comprises a first lid that is operable by a user and which comprises a lock for locking the first lid in a closed configuration; and a second lid that is operable independently of the first lid, the second lid being biased into a closed configuration but openable by a collector of the receptacle in order to empty the receptacle. The assembly is configured such that the second lid is not manually openable.
Multi-Compartment Rear Load Packer
A multi-compartment, sweeper-type rear loading refuse packer, with a compaction unit pivotally connected to the body. In the loading position of the compaction unit, the collection sumps at the back of the body are situated for receiving a respective load of segregated refuse deposited over a rear loading ledge at the back of each sump. At least one divider wall extends between respective two adjacent sumps from the rear loading ledge to the ceilings of the respective two adjacent compartments at the compartment openings, thereby defining respective loading channels from the sumps to the compartments. Each divider wall has a back portion with a top edge extending forward along adjacent sumps and a front portion with a top edge that rises obliquely from the top edge of the back portion to the ceilings of the respective two adjacent compartments at the compartment openings. The pack blade covers the channels and is drivable toward and away from the ceiling on an obliquely linear path along the top edge of the front portion of the walls, between a bottom limit position and a top limit position. The pack blade remains a part of the compaction unit when the compaction unit is pivoted upwardly into the discharge position.
Systems and methods for detecting waste receptacles using convolutional neural networks
Systems and methods for detecting a waste receptacle, the system including a camera for capturing an image, a convolutional neural network, and processor. The convolutional neural network can be trained for identifying target waste receptacles. The processor can be mounted on the waste-collection vehicle and in communication with the camera and the convolutional neural network configured for using the convolutional neural network. The processor can be configured for using the convolutional neural network to generate an object candidate based on the image; using the convolutional neural network to determine whether the object candidate corresponds to a target waste receptacle; and selecting an action based on whether the object candidate is acceptable.
Waste management system implementing remote auditing
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.
INTELLIGENT CLOSED TYPE DOMESTIC WASTE SORTING BUS
The present invention relates to an intelligent closed type domestic waste sorting bus, including a bus body, a main collection device, a pickup device, a wind separation device, a water separation device, an arrangement device and a control system. The rotary shafts on the pickup device are all distributed with single-row pickup nails. The main collection device is provided with a sliding sleeve, and a distal end of the sliding sleeve is provided with a cutting-stripping machine. The wind separation device is provided with a blowing apparatus. The arrangement device includes a first collection mechanism, a second collection mechanism, a sediment collection mechanism, a floater arrangement mechanism and a main arrangement mechanism; the present invention can achieve primary sorting of municipal domestic waste in early days, which provides the possibility and convenience for the subsequent professional disposal, and will change the current disposal mode of municipal domestic waste.
SHIELD FOR THREE COMPARTMENT REAR LOAD PACKER
A shield for a compartment opening of a refuse truck body, comprising an upper segment hinged to the truck body and a lower segment hinged to the upper segment. A source of power selectively pivots the lower segment relative to the upper segment. This enables a first angle of articulation whereby the upper segment covers an upper region of the compartment opening and the lower segment covers a lower region of the compartment opening whereby the shield covers the entire opening of the compartment; a second angle whereby the upper segment covers the upper region of the opening and the lower segment is positioned such that refuse can be swept beneath the lower segment into the lower region of the opening; and a third angle whereby the upper and lower segments fully uncover the compartment opening, whereby refuse can be freely dumped out of the compartment.
SIDE LOADING AUTOMATED RUBBISH BIN COLLECTION SYSTEM
An automated rubbish bin collection system for a garbage truck having a detection means to detect the presence of a rubbish bin, a control means to receive input from the detection means and process the input to control the collection of a rubbish bin, and an actuation means to actuate the movement of the lifting arm to grab, lift and empty the rubbish from the rubbish bin into a hopper of the rubbish collection vehicle, wherein from the detection of the presence of the rubbish bin a coordinated sequence of steps automatically occurs to collect the rubbish bin, move the rubbish bin, empty the rubbish into the hopper and return the rubbish bin to the initial position.
REFUSE VEHICLE WITH MULTI-SECTION REFUSE EJECTOR
A refuse vehicle includes a chassis having a frame and a cab disposed at one end of the frame, a body including a hopper portion having a first width and a storage portion having a second width greater than the first width, the hopper portion positioned forward of the storage portion, between the storage portion and the cab, a primary ejector having a width equal to the first width, an auxiliary ejector having a width equal to the difference between the first width and the second width, and a pickup. The pickup is configured to selectively couple the primary ejector and the auxiliary ejector.
REFUSE CONTAMINATION ANALYSIS
A computer-implemented method for analyzing refuse includes operations of receiving sensor data indicating an operational state of a vehicle body component of a refuse collection vehicle (RCV); analyzing the sensor data to detect a presence of a triggering condition based at least partly on a particular operational state of the vehicle body component, as indicated by the sensor data; in response to detecting the triggering condition, accessing image data indicating a physical state of refuse collected by the RCV; providing the image data as input to at least one contaminant detection model trained, using at least one machine learning (ML) algorithm, to output a classification of the image data, the classification indicating a degree of contamination of the refuse; and storing, in a machine-readable medium, the classification of the image data.