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LightningBug Workflows
LightningBug workflow can be viewed as six parts.
1
Curate specimens before and after imaging (i.e., pre-curation and post-curation).
OCR/HCR virtual labels and connect to structured text extraction services
4
Develop hardware and software platform to capture multi-view imagery of both labels and specimens.
2
Apply photogrammetric analysis to assemble the 3D shape and structure of specimens.
5
Build robust algorithms to automatically process fragmentary views of multiple labels into separate integrated “virtual labels".
3
6
Provide research-ready data. Labels become records and shared with GBIF. Images stored & served from MorphoSource
Handwritten Labels
(100 Million)
Notes for Nature Transcription
Label Babel
Typed & Handwritten Labels
(40 Million)
OCR Machine Learning
Typed Labels
(120 Million)
Notes for Nature Vetting
Specimen enters staging area
Computer Vision Identification
Specimen enters staging area
Specimen Imaged
(basic to high resolution)
Trait Metrics (body, length, area)
Labels Imaged
Labels Reconstructed
LightningBug Robotics
LightningBug Software Processes
Not part of LightningBug Project
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