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Scanning, optimisation and AI in the sawmill
Digital tools · Advanced
How log and board scanners, cutting optimisation and machine-vision models are evaluated in the open literature: what is measured, what the gains are (mostly simulated), how to read precision, recall and mAP, and how a small mill can start.
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- 1. Scanning: what the machines measure and how well 12 min
- 2. A six-head laser log scanner: what it can and cannot measure 12 min
- 3. From scan to decision: bucking, rotation and the size of the gains 14 min
- 4. Cutting patterns on demand: column generation 10 min
- 5. Reading detection metrics: precision, recall, F1 and mAP 13 min
- 6. Machine vision for birch boards: accuracy, economics and arithmetic checks 13 min
- 7. Veneer log grading on an operating line 13 min
- 8. Hyperspectral species identification, the research map and a roadmap 15 min
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