Abstract: Disclosed herein is system for providing simultaneous machine vision illumination control and human vision illumination control. The system includes a first illumination control output that is configured to provide first illumination timing information for a first illumination source. The system also includes a second illumination control output configured to provide second illumination timing information for a second illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision. The second illumination source is configured to provide a second frequency band of illumination for human vision. The first and second frequency bands are mutually exclusive. A related system is also disclosed herein.

Abstract: Disclosed herein are methods, systems, and devices for providing optimized simultaneous illumination for human vision and machine based navigation vision on a semi-autonomous vehicle. In one embodiment, a system includes a first control output configured to provide first illumination control information including first active cycle times for a first illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision navigation of the semi-autonomous vehicle. The system further includes a second control output configured to provide second illumination control information including second active cycle times for a second illumination source. The second illumination source is configured to provide a second frequency band of illumination for a human driver of the semi-autonomous vehicle. The system further includes a first monitor input configured to receive ambient illumination information from a camera system.

Abstract: Disclosed herein are methods, systems, and devices for providing optimized simultaneous illumination for human vision and machine based navigation vision on a semi-autonomous vehicle. In one embodiment, a system includes a first control output configured to provide first illumination control information including first active cycle times for a first illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision navigation of the semi-autonomous vehicle. The system further includes a second control output configured to provide second illumination control information including second active cycle times for a second illumination source. The second illumination source is configured to provide a second frequency band of illumination for a human driver of the semi-autonomous vehicle. The system further includes a first monitor input configured to receive ambient illumination information from a camera system.

Abstract: Disclosed herein are methods, systems, and devices for providing optimized simultaneous illumination for human vision and machine based navigation vision on a semi-autonomous vehicle. In one embodiment, a system includes a first control output configured to provide first illumination control information including first active cycle times for a first illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision navigation of the semi-autonomous vehicle. The system further includes a second control output configured to provide second illumination control information including second active cycle times for a second illumination source. The second illumination source is configured to provide a second frequency band of illumination for a human driver of the semi-autonomous vehicle. The system further includes a first monitor input configured to receive ambient illumination information from a camera system.

Abstract: A method for identifying defects in a web of material translating along a travel path is provided. The method includes receiving a first image from a first camera; receiving a second image from a second camera; identifying a candidate as a possible defect within the first image; determining a first x-y position of the candidate relative to the first image; identifying the candidate within the second image; and determining the candidate is a probable defect based on the first x-y position and a second x-y position of the candidate within the second image. The first x-y position and the second x-y position predict the candidate is located on the web of material within a margin-of-error.

Abstract: Disclosed herein is system for providing simultaneous machine vision illumination control and human vision illumination control. The system includes a first illumination control output that is configured to provide first illumination timing information for a first illumination source. The system also includes a second illumination control output configured to provide second illumination timing information for a second illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision. The second illumination source is configured to provide a second frequency band of illumination for human vision. The first and second frequency bands are mutually exclusive. A related system is also disclosed herein.

Abstract: A computer implemented method is disclosed herein for monitoring and determining a quality level of incoming raw material from one or more sources. The method includes (1) receiving visual data associated with the incoming raw material; (2) determining an indication of quality level associated with the incoming raw material; and (3) transmitting, to at least one of a graphical user interface (GUI) and a computer log, the indication of quality level and at least one timestamp associated with the visual data. The visual data may include a plurality of images received from one or more cameras configured for monitoring the incoming raw material. A related system is also disclosed herein.