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Thread: Enhanced night vision goggle-binocular - video

  1. #1
    Supporting Member Altair's Avatar
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    Enhanced night vision goggle-binocular - video

    Enhanced night vision goggle-binocular. 0.45 video. Video caption: "Soldiers assigned to 4th Battalion, 23rd Infantry Regiment, 2nd Stryker Brigade Combat Team, 7th Infantry Division, conduct a platoon live fire using the Enhanced Night Vision Goggle-Binoculars at Joint Base Lewis-McChord April 19, 2021. The ENVG-B arms U.S. Army soldiers with the ability to target, engage, and neutralize threats; enhancing mission success and operator safety. (U.S. Army video by 1st Lt. Egor Krasnonosenkikh) DVIDS"




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    Floradawg (Jul 27, 2021), nova_robotics (Jul 26, 2021)

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    nova_robotics's Tools
    This is neat, but the nuts and bolts are actually not that complicated. It's just a small computer running OpenCV and applying a Canny filter to the image. It's a great application for the technology, but the underlying technology is pretty old. I've used Canny filters in computer vision projects a number of times. If you want to replicate this on your own computer, the following Python code will perform a live Canny filter from your webcam:

    import cv2

    def canny_webcam():
    cap = cv2.VideoCapture(0)

    while True:
    ret, frame = cap.read()
    frame = cv2.GaussianBlur(frame, (7, 7), 2)
    frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    edge = cv2.Canny(frame, 20, 50)

    cv2.imshow('Canny Edge', edge)

    if cv2.waitKey(20) == ord('q'):
    break

    canny_webcam()

    Enhanced night vision goggle-binocular - video-canny_filter.png

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  4. The Following User Says Thank You to nova_robotics For This Useful Post:

    metric_taper (Jul 31, 2021)

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