USB Webcam Not Working on Jetson Nano for OpenCV/TensorFlow Object Detection
Hello guys, I am trying to set up a USB webcam on my NVIDIA Jetson Nano to perform real-time video analytics using OpenCV and TensorFlow, I have installed OpenCV and TensorFlow on Ubuntu, connected a USB webcam to the Jetson Nano, wrote a Python script to capture video frames and perform object detection.
But I keep getting the error
This is my code snippet 👇
@Middleware & OS @Helper
Solution:Jump to solution
If the above steps don't help, try running a simple OpenCV script to verify if OpenCV can access the camera:
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8 Replies
whatsup @Enthernet Code , It seems like there’s an issue with the camera index or how the camera is being accessed. Make sure that /dev/video0 is the correct device for your USB webcam. You can list all video devices connected to your Jetson Nano using
This will show you all available video devices. If your webcam is not listed as /dev/video0, you might need to change the index in your cv2.VideoCapture(0) line to match the correct device.
I have checked it using the code it's listed there
Also, check the permissions for your video device. Sometimes, access issues can cause this kind of error. You can change the permissions by running
although i wont recommend this for production enviroment
Like this??
sudo user mod -aG video enthernet
Then, log out and log back in for the changes to take effect.
Okay
hello, @Enthernet Code Make sure you have all the necessary dependencies installed for video capture. You can try installing
v4l-utils
which provides tools for video device querying and configuration:
You can also try to capture video using v4l2-ctl
to ensure the camera is working correctly:Solution
If the above steps don't help, try running a simple OpenCV script to verify if OpenCV can access the camera: