Real-Time Computer Vision Live Camera feed processing Optimization Expert Needed
Budget: ₹600 – ₹1,500 INR
**** If you have worked on similar projects, then ONLY apply with relevant experience.*****
I'm seeking an expert in AI/ML and computer vision to help optimize our existing logic for processing live camera feeds. We are currently using OpenCV to capture IP camera live feeds and are experiencing ghosting and blurriness on frames during object detection.
Current setup:
- We are using either `cv2.VideoCapture(rtsp_url, cv2.CAP_FFMPEG)` or `cv2.VideoCapture(rtsp_url)` to get the live feed.
- It's critical that we maintain real-time monitoring, currently only skipping 2 or 3 frames.
Ideal Skills and Experience:
- Proven experience with real-time video processing.
- Familiarity with OpenCV, GStreamer, and other computer vision libraries.
- Background in optimizing frame processing logic to reduce artifacts like ghosting and blurriness.
Your task will involve:
- Suggesting or implementing more effective capture or processing options.
- Helping to refine our current frame processing logic to improve the quality of our live feed.
I'm seeking an expert in AI/ML and computer vision to help optimize our existing logic for processing live camera feeds. We are currently using OpenCV to capture IP camera live feeds and are experiencing ghosting and blurriness on frames during object detection.
Current setup:
- We are using either `cv2.VideoCapture(rtsp_url, cv2.CAP_FFMPEG)` or `cv2.VideoCapture(rtsp_url)` to get the live feed.
- It's critical that we maintain real-time monitoring, currently only skipping 2 or 3 frames.
Ideal Skills and Experience:
- Proven experience with real-time video processing.
- Familiarity with OpenCV, GStreamer, and other computer vision libraries.
- Background in optimizing frame processing logic to reduce artifacts like ghosting and blurriness.
Your task will involve:
- Suggesting or implementing more effective capture or processing options.
- Helping to refine our current frame processing logic to improve the quality of our live feed.