Abstract: In various example embodiments, techniques are provided for crack detection, assessment and visualization that utilize deep learning in combination with a 3D mesh model. Deep learning is applied to a set of 2D images of infrastructure to identify and segment surface cracks. For example, a Faster region-based convolutional neural network (Faster-RCNN) may identify surface cracks and a structured random forest edge detection (SFRED) technique may segment the identified surface cracks. Alternatively, a Mask region-based convolutional neural network (Mask-RCNN) may identify and segment surface cracks in parallel. Photogrammetry is used to generate a textured three-dimensional (3D) mesh model of the infrastructure from the 2D images. A texture cover of the 3D mesh model is analyzed to determine quantitative measures of identified surface cracks. The 3D mesh model is displayed to provide a visualization of identified surface cracks and facilitate inspection of the infrastructure.

Abstract: A brewing vessel comprises a brewing vessel body and an inner structure positioned in the brewing vessel body, wherein the inner structure is provided with a primary filter. The brewing vessel comprises a secondary filter positioned corresponding to the inner structure. The mesh of the secondary filter has filtration holes smaller than that of the primary filter, and the secondary filter filters out at least some coffee sediment that failed to be filtered by the primary filter.

Abstract: A seating structure employing a thermoplastic flexor defining the flexibility and stiffness of a seatback is provided. The seating structure may comprise a seat portion for supporting a user, a seatback portion for supporting a user, a frame for supporting the seat portion and the seatback portion, one or more base portions extending at an angle from the seatback portion, and one or more thermoplastic flexors affixed to or within the seatback and base portions of the seating structure. The thermoplastic flexor has certain material characteristics which define and limit the deflection and a rebound of the seatback portion relative to the base portion when under load. The seating structure may further comprise one or more anchors securing the seatback portion, base portion, and thermoplastic flexor to the frame.

Abstract: A seating structure employing a thermoplastic flexor defining the flexibility and stiffness of a seatback is provided. The seating structure may comprise a seat portion for supporting a user, a seatback portion for supporting a user, a frame for supporting the seat portion and the seatback portion, one or more base portions extending at an angle from the seatback portion, and one or more thermoplastic flexors affixed to or within the seatback and base portions of the seating structure. The thermoplastic flexor has certain material characteristics which define and limit the deflection and a rebound of the seatback portion relative to the base portion when under load. The seating structure may further comprise one or more anchors securing the seatback portion, base portion, and thermoplastic flexor to the frame.

Abstract: A lumbar support adjustment system for a chair that allows a user to adjust the lumbar support by moving a handle on the side of the chair back. The lumbar support and handle move along separate tracks that diverge from each other as the lumbar support is adjusted upward. To compensate for this divergence, the system includes a linkage with a joint connected to the handle and another joint connected to the lumbar support. As the lumbar support is adjusted, the linkage and joint system accommodates for the divergence of the tracks to continue transmitting force from the handle to adjust the lumbar support.