Abstract: An improved foot strengthening apparatus is presented. The foot strengthening apparatus features a system of elastic bands and toe sleeves designed to enhance the strength of the feet, ankles, and calves. The apparatus includes a plurality of elastic bands that provide adjustable tension, which connects to a series of toe sleeves for comfort and circulation. Additionally, the apparatus incorporates guide channels and sliding anchors that facilitate the routing of the elastic bands and secure attachment to an adjustable ankle brace.

Abstract: This specification describes systems, apparatus and methods for measuring the slump of a concrete mix using one or more machine-learning models. According to a first aspect of this specification, there is described a method for predicting a slump value of a concrete mix in a mixing drum (104) of a concrete mixer (100).

Abstract: This specification relates to systems, methods and apparatus for automating and guiding the delivery of concrete from a concrete mixer.

Abstract: The present invention relates to a vehicle for mixing concrete. The vehicle comprises: a cabin configured to allow an operator to control the vehicle, a chassis comprising a frame configured to support a load on the vehicle, the frame having a longitudinal axis that is substantially parallel to the ground, and a rotatable mixing drum supported on the chassis such that the longitudinal axis of the mixing drum is inclined relative to the longitudinal axis of the frame. The mixing drum comprises a drum ring and being configured to hold and mix a load. The chassis comprises a rear pedestal on which the drum ring of the mixing drum is supported, and the rear pedestal comprises a pair of drum rollers configured to contact the drum ring. The vehicle further comprises at least one stop configured to prevent lateral movement of the rotatable mixing drum beyond a predetermined distance from a centreline of the vehicle.

Abstract: This specification describes systems, methods and apparatus for predicting and/or preventing spillage of a concrete mix from a concrete mixer vehicle (102).

Abstract: This specification relates to systems (100), methods and apparatus for intelligently controlling the drum rotation of a concrete mixer (104). According to a first aspect of this specification, there is described a method for controlling a concrete mixing drum (104) on a concrete mixer vehicle (102), the method comprising, for each of a plurality of time-steps: inputting, into one or more machine-learned models (210), input data comprising a current state of the concrete mixer vehicle and one or more delivery requirements for a concrete mix in the concrete mixing drum; processing, using the one or more machine-learned models, the input data to generate a drum rotation cycle data (c) for the concrete mixing drum; outputting, from the one or more machine-learned models, the drum rotation cycle data; and controlling the concrete mixing drum based on the generated drum rotation cycle data.

Abstract: In one or more implementations, body features of a subject can be tracked and a pose estimation produced using an unconstrained video sequence. The video sequence constitutes a physical record of the body features of the subject. A set of 2D coordinates corresponding to the body features of the subject can be received from a first neural network and 2D Keypoints are detected and transmitted to a second neural network. The second neural network can return corresponding depth estimation values, which can be processed to generate a set of 3D coordinates that correspond to the body features of the subject in camera space. Furthermore, one or more non-linear optimizations can be applied to fit a predetermined skeleton to the generate 3D Keypoints, and produce the pose estimation corresponding to the body features of the subject.

Abstract: In one or more arrangements, a system is presented for preventing the spread of fire through a conveyor opening in a fire wall. In one or more arrangements, a fire door system is connected to the fire wall and/or conveyor proximate to the conveyor opening. The fire door system includes a door assembly, a door frame assembly, and an actuator. The door frame assembly is connected to the fire wall, covers portions of the opening below the conveyor and between belts of the conveyor, and forms a door opening above the conveyor. The door assembly is configured to move between a closed position, where door assembly covers the door opening, and an open position, where the door assembly at least partially uncovers the door opening. The actuator is configured to cause the door to be moved to the closed position in response to fire.

Abstract: An insect dispensing system is described. The insect dispensing system includes a plate diverting structure supported by a frame. A first plate of the structure includes a set of channels and a second plate of the structure includes a set of apertures. The plates are aligned such that one end of each channel is aligned with one of the apertures. A population of insect pupae suspended in a liquid is dispensed into the set of channels via an inlet. As the liquid flows through the system, it is distributed among the set of channels, ultimately exiting via the apertures into a set of catch basins.

Abstract: In one or more implementations, body features of a subject can be tracked and a pose estimation produced using an unconstrained video sequence. The video sequence constitutes a physical record of the body features of the subject. A set of 2D coordinates corresponding to the body features of the subject can be received from a first neural network and 2D Keypoints are detected and transmitted to a second neural network. The second neural network can return corresponding depth estimation values, which can be processed to generate a set of 3D coordinates that correspond to the body features of the subject in camera space. Furthermore, one or more non-linear optimizations can be applied to fit a predetermined skeleton to the generate 3D Keypoints, and produce the pose estimation corresponding to the body features of the subject.

Abstract: In one or more arrangements, a system is presented for preventing the spread of fire through a conveyor opening in a fire wall. In one or more arrangements, a fire door system is connected to the fire wall and/or conveyor proximate to the conveyor opening. The fire door system includes a door assembly, a door frame assembly, and an actuator. The door frame assembly is connected to the fire wall, covers portions of the opening below the conveyor and between belts of the conveyor, and forms a door opening above the conveyor. The door assembly is configured to move between a closed position, where door assembly covers the door opening, and an open position, where the door assembly at least partially uncovers the door opening. The actuator is configured to cause the door to be moved to the closed position in response to fire.

Abstract: A method for locating and tracking facial features in an unconstrained video sequence includes: in a face-detecting process, delineating, with region-bounding coordinates, the face of the subject within an image selected from the sequence; detecting, in the selected image, a small set of landmarks, corresponding to the face of the subject, using a convolutional neural network, trained to take as input an image region corresponding to the face of the—subject and to return a set of coordinates at computational speeds approximating real time; projectively fitting a three-dimensional character model to the detected landmarks, and using the fitted model to estimate physical locations of additional landmarks, so as to provide a complete hypothesized set of facial landmarks; and in a feature tracker process, updating the hypothesized set of facial landmarks to improve convergence between predicted feature locations and their actual physical locations based on data sampled from the selected image.

Abstract: A method for locating and tracking facial features in an unconstrained video sequence includes: in a face-detecting process, delineating, with region-bounding coordinates, the face of the subject within an image selected from the sequence; detecting, in the selected image, a small set of landmarks, corresponding to the face of the subject, using a convolutional neural network, trained to take as input an image region corresponding to the face of the—subject and to return a set of coordinates at computational speeds approximating real time; projectively fitting a three-dimensional character model to the detected landmarks, and using the fitted model to estimate physical locations of additional landmarks, so as to provide a complete hypothesized set of facial landmarks; and in a feature tracker process, updating the hypothesized set of facial landmarks to improve convergence between predicted feature locations and their actual physical locations based on data sampled from the selected image.

Abstract: The invention relates to methods of making compounds useful for production of paclitaxel and analogs or derivatives thereof.

Abstract: An enclosure mounting assembly for mounting different sized enclosures onto support poles or flat support walls.

Abstract: An enclosure mounting assembly for mounting different sized enclosures onto support poles or flat support walls.

Abstract: An enclosure assembly for housing printed circuit boards and related electrical components that provides secured component mounting in outdoor environments.

Abstract: An enclosure assembly for housing printed circuit boards and related electrical components that provides secured component mounting in outdoor environments.