I recently took on a fun project to improve the video quality from my Amcrest IP camera, and I wanted to share my experience with the community. For those who haven’t encountered it, barrel distortion can be a real pain, especially with wider-angle lenses. My camera, an Amcrest IP8M-2496EB-40MM, was no exception—it had noticeable barrel distortion that made my weather time-lapse videos less than ideal.
After some research, I stumbled upon OpenCV’s camera calibration tool, which promised to fix this issue. The process was a bit intimidating at first, but I decided to give it a shot. I set up a chessboard pattern in my yard and followed the OpenCV documentation to capture the necessary images for calibration.
The results were nothing short of amazing! The distortion correction tool in OpenCV not only removed the barrel effect but also maintained a good field of view. It’s incredible how much better the videos look now. I even shared the calibration parameters for this specific camera model on GitHub, in case anyone else is looking to tackle the same issue.
This project was a great learning experience, and I’m excited to see how others might use similar techniques to enhance their camera setups. If anyone has questions or wants to share their own calibration journey, I’d love to hear from you! 
