Knowledge
Opinion pieces, anonymized application stories, and practical manuals, written for engineers who select, detect and control on the line.
Knowledge
Guides that help you with 3D bin picking, camera selection and vision architecture in industrial Computer Vision.
When 3D bin picking fits, what drives cycle time, and how pose estimation and grasp planning work together in robot vision.
View guides →Camera selection starts with geometry and task — sensor types, optics, lighting, FOV and triggering.
View guides →Start with line scan vs area scan.
Platform, algorithm and dimensionality choices for industrial Computer Vision, including robot vision and paths into 3D bin picking.
View guides →Technical
Choices on resolution, triggering, 3D, robot vision, AI and cost — for engineers who select and specify.
Pixels, field of view, WD.
Global vs rolling, timing.
Task → requirements → class.
Stereo, structured light, RGB-D.
Which modality first.
Classical first, AI when needed.
Drivers without a price list.
Camera and robot frames.
Products
Deep explainers per product family: area scan, line scan, smart camera, 3D, lenses and lighting.
Blog
Articles on architecture choices, how-tos and field cases without customer names.
Browse posts →From the field
Field cases with industry, constraints, stack choice and results — without customer names.
Read stories →Docs
SCMVS, SC1000/SC2000 quick starts and the feasibility checklist.
Open docs →