Abstract: A refuse vehicle can include a camera and one or more processing circuits. The one or more processing circuits can detect a movement of the refuse vehicle, receive image data that includes a waste receptacle, determine a position of the waste receptacle relative to the refuse vehicle based on the image data, and generate a user interface that includes a visual indication of the position of the waste receptacle relative to the refuse vehicle.

Abstract: An intermediate container system for detecting a waste receptacle includes an intermediate container and a processor. The intermediate container includes a container, an extension arm coupled to the container, a manipulator coupled to a distal end of the extension arm, and a camera configured to obtain image data associated with a target area proximate the intermediate container. The processor is configured to generate, based on the image data, a pose candidate located within the target area. The processor is also configured to verify if the pose candidate matches a template representation corresponding to the waste receptacle. Responsive to the pose candidate matching the template representation, the processor is also configured to determine a location of the waste receptacle. The processor is also configured to operate at least one of the extension arm or the manipulator to move the manipulator based on the location of the waste receptacle.

Abstract: A system for detecting a waste receptacle includes a collection assembly and a processor. The collection assembly includes a plurality of interface members configured to engage the waste receptacle and a camera configured to obtain image data associated with a target area proximate the interface members. the processor is configured to generate, based on the image data, a pose candidate located within the target area. The processor is also configured to verify if the pose candidate matches a template representation corresponding to the waste receptacle. Responsive to the pose candidate matching the template representation, the processor is also configured to determine a location of the waste receptacle. The processor is also configured to operate at least one of a lift arm actuator or an articulation actuator of a lift assembly to move the interface members based on the location of the waste receptacle.

Abstract: A refuse vehicle can include a first camera, a second camera, and one or more processing circuits. The one or more processing circuits can communicate with the first camera and the second camera. The one or more processing circuits can receive first data associated with a collection site proximate to the refuse vehicle, detect a first object and a second object based on the first data, generate one or more bounding boxes to establish a dimension for the first object, and determine a position of the first object relative to the second object.

Abstract: A system can include a camera, a single-stage object detector, and one or more processors. The camera can capture image data that includes a waste receptacle. The single-stage object detector can detect waste receptables. The one or more processors can communicate with a waste-collection vehicle, the camera, and the single-stage object detector. The one or more processors can receive, from the camera, the image data. The one or more processors can provide, as an input, the image data to the single-stage object detector. The one or more processors can identify, based on an output of the single-stage object detector, the waste receptacle.

Abstract: 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.

Abstract: A detection and warning system for a refuse vehicle includes a camera and processing circuitry. The camera is configured to obtain image data of a target waste receptacle and a lift apparatus of the refuse vehicle. The processing circuitry is configured to predict, based on the image data, tipping of the target waste receptacle by the lift apparatus of the refuse vehicle. The processing circuitry is configured to, responsive to predicting tipping of the target waste receptacle, at least one of (i) operate an alert device to notify an operator of the predicted tipping, or (ii) limit operation of the lift apparatus.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A greywater recovery and reuse system is shown, including a body for collecting, conditioning and discharging greywater. The body has an inlet connection to a source of greywater; a filter for filtering the greywater; a tank for receiving the filtered greywater; a disinfector for disinfecting the filtered greywater; a pump for discharging the conditioned greywater from said tank to a toilet that needs flushing water; a discharge connection to a sanitary sewer system; a fresh water connection and a control system for controlling the operation of the greywater recovery and reuse system. The system includes a controller for operating the system and dealing with certain alarm and status conditions. Methods of operating the system are also comprehended.

Abstract: Several systems and methods for monitoring the proximity of a device to a power line are disclosed. Electric field monitoring systems are mounted to the device and include a plurality of electric field sensors and a monitoring system base unit. Each electric field monitoring sensor senses the strength of a magnetic field in which the sensor is positioned and transmits a corresponding magnitude output signal to the base unit when polled by the base unit. If a sensor reports a magnetic field exceeding a threshold, the frequency of polling for that sensor may be increased. If a sensor reports a magnetic field exceeding another (possibly identical) threshold, an alarm may be activated, movement of the device may be limited or stopped or another action or a combination of actions may be taken.

Abstract: Several systems and methods for monitoring the proximity of a device to a power line are disclosed. Electric field monitoring systems are mounted to the device and include a plurality of electric field sensors and a monitoring system base unit. Each electric field monitoring sensor senses the strength of a magnetic field in which the sensor is positioned and transmits a corresponding magnitude output signal to the base unit when polled by the base unit. If a sensor reports a magnetic field exceeding a threshold, the frequency of polling for that sensor may be increased. If a sensor reports a magnetic field exceeding another (possibly identical) threshold, an alarm may be activated, movement of the device may be limited or stopped or another action or a combination of actions may be taken.

Abstract: The solenoid-operated valve's outlet port (26) is a tube having a thread (60) threaded into a threaded socket (66, 68) in a valve housing member (34). The valve seat (62) is at an end of the tube, and the extent to which the tube is threaded into the socket sets the position of the seat within the housing's interior (42). Once the position has been set, an adhesive sealant is applied and upon setting, forms a plug (164) which locks the tube in place and seals between the tube and the socket. The valve element (33) is spring-biased (160) closed on the seat, but when the solenoid is energized, it is unseated by the solenoid's armature (122) to which it is attached. The solenoid's stator (86, 88, 90) includes an annular shunt (90) which forms an air gap to the armature for the magnetic circuit that acts on the armature to unseat the valve element and which also holds the outer margin (154) of a diaphragm (124) sealed against the solenoid. The inner margin of the diaphragm is sealed to the armature.