Dear all,
I would like to share my recent experience with a challenging video recovery case involving a 4TB exFAT drive containing Sony 10-bit video data.
After trying several professional recovery solutions, including R-Studio, UFS Explorer, and other commercial tools, I was unable to achieve a successful recovery due to severe fragmentation of the video files.
As a result, I started developing my own AI-assisted recovery tool. I am not a professional data recovery engineer, but I built a locally hosted AI-based system that combines automated analysis with custom recovery logic.
The tool works by:
[list=]-Scanning the drive sector-by-sector and creating a saved scan database to avoid repeated rescanning.
-Detecting video file signatures and fragmented video structures.
-Locating and reconstructing moov atoms manually from fragmented MOV/MP4 data.
-Patching thousands of fragmented atoms individually.
-Testing reconstructed files in real time.
-Using metadata such as creation timestamps and file structure patterns to improve reconstruction accuracy.[/list]
With this approach, I was able to recover approximately 4TB of video data within two days, which was a major breakthrough for me.
I am sharing this project with the community because I know many people face similar problems with fragmented video recovery, especially with modern camera formats and large-capacity storage devices.
If any professional recovery company, developer, or researcher is interested in collaborating, improving the approach, or helping transform this into a more complete recovery solution with proper AI-agent integration, I would be happy to contribute my code and ideas.
My goal is to help push fragmented video recovery beyond current manual carving limitations and explore new AI-assisted approaches.
If you are interested, you can contact me at:
luckystarrocky@gmail.com
Thank you, and I hope this can help someone facing a similar recovery challenge.
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