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"

https://www.youtube.com/watch?v=LQEPQVE5jlo


Previously:

https://www.homemadetools.net/forum/...481#post151160
https://www.homemadetools.net/forum/...066#post172106

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()

Attachment 40173