ScanRobot 2.0 MDS: Scanning very thick books up to 15 cm (6 inch)
bookscanner1 HN recommender · recommended in 1 month, 2021–2023
demo · general · evergreen · 2021–2023 on HN
A demo of the Treventus ScanRobot 2.0 MDS, an automatic book scanner that digitizes very thick books up to 15 cm with gentle handling.
HN brings it up in book-digitization threads as an elegant, careful scanner design.
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3 comments from Hacker News
I always thought the Treventus ScanRobot was an elegant way to scan books: ▶ this video It looks like it's sucking data right out of the book. Look for other videos of the process.
There‘s a somewhat similar commercial scanner [1] [2], with a V-design as well but inverted to scan from the top. Much gentler on the books as it‘s the scanner that moves, not the books themselves. Super happy to see someone develop an open-source alternative! [1] link [2] ▶ this video
Generally: unbinding the leaves of a book so that they can be more easily handled by a scanner, often including an automated feeder. The simplest method is to simply cut off the binding (a powered paper cutter can do this in an instant). The alternative is nondestructive scanning, where the binding and publication as a whole remain intact. This is typically performed using flatbed scanners, angled scanners (the book is either face up or face down on a scanning bed which typically forms a ~90 degree angle), automated feeders which incorporate page turning (via numerous methods), or face-up scanning with digital deconvolution of page distortions. Higher speed presents higher risks of both poor / missed scans, and damaging original materials. Methods should be tuned to the materials, their intrinsic value and/or uniqueness, and end goals. See: link There are numerous book-scanning projects with YouTube videos of their methods. Typical rates range from ~300 -- 3,000 pages/hour, with 1,000 pp/hr being a good middling rate. DIY 1,000 pp/h link link Commercial, manual page turning: link 3,000 pp/h vacuum page turning link ... capable of managing very thick volumes: ▶ this video Google fully automated linear scanbot: link Face-up, no-platten, with deconvolution: link