Abstract: A device and system to disable a driver from texting and being distracted during driving a vehicle, this disable a driver from texting and being distracted by combining a blocking signal component from an ECM of an engine or a discrete electronic blocking device to notify the cellphone application that the vehicle engine is functioning and operation movement is occurring with at least one blocking application that signals the cellphone to block all incoming and outgoing communication signals to a set of temporarily unwanted cellphone applications and functions but still leaving a set of emergency applications working and available for use; the device also has a manner of communicating to the blocked application which are temporarily disabled and way to clear and re-enable the applications when the period is done.

Abstract: A method of board lumber grading is performed in an industrial environment on a machine learning framework configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.

Abstract: A method of board lumber grading is performed in an industrial environment on a machine learning framework configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.

Abstract: A method of board lumber grading is performed in an industrial environment on a machine learning framework configured as an interface to a machine learning-based deep convolutional network that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics, including their sizes and boundaries.

Abstract: A method of board lumber (Table 2) grading is performed in an industrial environment on a machine learning framework (12) configured as an interface to a machine learning-based deep convolutional network (20) that is trained end-to-end, pixels-to-pixels on semantic segmentation. The method uses deep learning techniques that are applied to semantic segmentation to delineate board lumber characteristics (Table 1), including their sizes and boundaries.

Abstract: A frameless portable water panel for displaying advertising and products constructed of transparent material combining a water wall column and cascading water tanks supporting dry, removable display shelves. Water is pumped into a tall water column from a bottom reservoir with a water pump. Water fills the tall water column and flows down on the outside of the front wall of the column then into a series of cascading water tanks before returning to the bottom reservoir. An alternate embodiment is modified to serve as a self-serve drinking fountain by removing the lowest shelf and adding fountain openings in the outside face of the front wall of one of the cascading tanks. Other modifications including bevel top edges on the water column, a light pan under the unit, pegs to secure the shelves, clear splash guards on the back of all shelves, and supporting legs under each shelf.

Abstract: A frameless portable water panel for displaying advertising and products constructed of transparent material combining a water wall column and cascading water tanks supporting dry, removable display shelves. Water is pumped into a tall water column from a bottom reservoir with a water pump. Water fills the tall water column and flows down on the outside of the front wall of the column then into a series of cascading water tanks before returning to the bottom reservoir. An alternate embodiment is modified to serve as a self-serve drinking fountain by removing the lowest shelf and adding fountain openings in the outside face of the front wall of one of the cascading tanks. Other modifications including bevel top edges on the water column, a light pan under the unit, pegs to secure the shelves, clear splash guards on the back of all shelves, and supporting legs under each shelf.

Abstract: A grain angle sensor system for measuring grain angle direction of surface fibers of a wood object with respect to at least one of a surface plane direction or a transverse direction, such as a dive angle, or with respect to both the surface plane and transverse direction. The system includes multiple laser diodes and photosensor detectors integrated into an electro-optical assembly that can sequence the firing of the lasers to minimize crosstalk. An exemplary assembly includes an enclosure housing an electronic control board connected to circuit cards containing multiple laser diodes and multiple photosensor detectors.

Abstract: A “Woodprint™” characterization and identification technique employs cameras (16), lighting (14), camera interface hardware (18), a computer (20), and/or image processing software to collect and analyze surface characteristics of pieces of wood (8) to track them through an automated production process in real-time with information that is specific to each wood piece (8), such as what machining is required, its value, and/or its destination. When a wood piece (8) reaches a point in the production process where a decision is required, its unique identity is used to retrieve appropriate information previously determined and assigned to the wood piece (8).

Abstract: A “Woodprint™” characterization and identification technique employs cameras (16), lighting (14), camera interface hardware (18), a computer (20), and/or image processing software to collect and analyze surface characteristics of pieces of wood (8) to track them through an automated production process in real-time with information that is specific to each wood piece (8), such as what machining is required, its value, and/or its destination. When a wood piece (8) reaches a point in the production process where a decision is required, its unique identity is used to retrieve appropriate information previously determined and assigned to the wood piece (8).

Abstract: A “woodprint™” characterization and identification technique unique employs cameras (16), lighting (14), camera interface hardware (18), a computer (20), and/or image processing software to collect and analyze surface characteristics of pieces of wood (8) to track them through an automated production process in real-time with information that is specific to each wood piece (8), such as what machining is required, its value, and/or its destination. When a wood piece (8) reaches a point in the production process where a decision is required, its unique identity is used to retrieve appropriate information previously determined and assigned to the wood piece (8).

Abstract: The invention is transfer tip, system and process for handling injection molded ophthalmic lens molds. The transfer tip is substantially rigid and in one embodiment has an outer surface that has a shape complementary to the shape of the lens mold being handled.