11/13/2022 0 Comments Efficient ocr font![]() ![]() In our second internal test analyzing a GrayKey full-file system image (21.3GB), there were over 48,000 media files of which ~31,000 were flagged as icons and system related graphics. That’s almost 2/3rds of the media on the device, which translates to a lot of time saved, and more importantly, a lot of immaterial media that can be disqualified.įor more on Magnet.AI, check out these Tips & Tricks with Trey Amick to save time in your investigations. ![]() To help cut through the noise, we’ve leveraged the power of Magnet.AI with some impressive results. In our test of a Windows image, Magnet.AI tagged over 300,000 icons, effectively reducing the number of media items requiring review by ~50%. Examiner review time, instead of being spent disqualifying non-relevant media, can now be better focused on more meaningful action, such as categorizing pertinent media and reviewing more case-relevant material. Even with smart filtering, key-word searches, etc., that’s still a lot of ground to cover and a lot of immaterial media or “noise”. ![]() Unpacking media collections can not only be a time-consuming task, but also a daunting one. It certainly doesn’t help that there’s a significant number of immaterial media items such as system and app icons and other system related graphics. In one of the real datasets that we tested (Windows 450GB image), there was over 600,000 media items on the drive. If you haven’t tried AXIOM or AXIOM Cyber yet, request a free trial here. We’ve heard you loud and clear! We’ve taken three steps to improve the efficiency of analyzing media in AXIOM: classifying icons and systems graphics via Magnet.AI, Optical Character Recognition (OCR) scanning for email attachments, and more filter options in media explorer. Working through large-scale media collections can be challenging and we’ve heard from the community that it would be great if we could do more to support the reduction of immaterial media during an investigation. ![]()
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