Conceptio › Archive › Springer Nature OA
Springer Nature OA open access CC BY 4.0

Stereo-Vision-Based Part Classification for Brownfield Assembly Using a Low-Cost Camera

Birk, Max-Heiner et al.
Springer Nature OA · Papers · License: CC BY 4.0
Open Source ↗
computer-science
Variant-rich brownfield assembly environments require reliable part identification as a basis for downstream automation steps. In many existing production settings, however, the integration of high-end measurement technology is limited by cost, installation effort and compatibility with established
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1020721
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive