Computer Vision Analysis of 3D Scanned Circuit Boards for Functional Testing and Redesign

Grosser, Hendrik; Beckmann-Dobrev, Boris; Politz, Friedrich; Stark, Rainer

doi:10.1016/j.procir.2013.07.040

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…Recent work dealt with approaches of mesh segmentation as well as with gray scale segmentation in voxel data [3,4]. In addition this paper focuses on the identification of single parts presenting a new approach.…”

Section: Shape Retrieval Systemmentioning

confidence: 99%

Advanced 3D scan data analysis for performant reengineering maintenance processes

Grosser¹,

Stark²

2014

Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014

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Overhaul processes of long-living, cost-intensive machines and facilities are time-consuming tasks. They aim either at full recovery of the original product condition through repair or spare part exchange or at modernization for performance enhancement. However, decision for an overhaul should be carefully considered, because realization may be difficult und time-critical. Every overhaul process is unique and based on a thoroughly diagnosis of product condition. This makes it a risky and hard to plan project. In this context speed of overhaul operation is essential for avoiding costs due to machine down times. Obsolescence of components and modernization goals demand for an efficient reengineering to design geometric models for production. Modern 3D scanning technologies deliver 3D models of actual product geometry and allow deviation and tolerance analyses in case of available reference models. However, optical limitations and difficult part disassembly make 3D digitization still a laborious task and is additionally followed by a high effort in data post-processing. This paper depicts a new approach to facilitate reengineering processes through advanced methods in 3D scan data analysis of non-disassembled products. Implementations allow parts identification in 3D assembly scans through shape recognition and database search for provision of needed CAD 1 data.

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Section: Shape Retrieval Systemmentioning

confidence: 99%

Advanced 3D scan data analysis for performant reengineering maintenance processes

Grosser¹,

Stark²

2014

Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014

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“…This is used whenever a potentially appropriate spare part is obsolete [13]. The MRO processes of electronic devices are specially challenging in companies that have long-term products like aviation industry, rail transport or plant manufacturing [7]. The functionality of a PCB must be tested and possible faults must be detected and repaired.…”

Section: Introductionmentioning

confidence: 99%

Automatic Verification of Design Rules in PCB Manufacturing

Ramos

Rocha

Vilarinho

et al. 2018

Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection

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Nowadays, electronics can be found in almost every available device. At the core of electronic devices there are Printed Circuit Boards (PCB). To create a suitable PCB there is the need of complying with several constraints, both concerning electrical and layout design. Thus, the design rules related to the PCB manufacturing and assembly are very important since these restrictions are fundamental to ensure the creation of a viable physical PCB. Electrical Computer Aided Design (ECAD) tools are able to automatically verify such rules, but they only consider a subset of the total required rules. The remaining rules are currently manually checked, which may increase the occurrence of errors and, consequently, increase the overall costs in designing and in the manufacturing process of a PCB. Being the design a crucial phase in the manufacturing procedure, a software system that automatically verifies all design rules and produce the corresponding assessment report is fundamental. Such software system is addressed in this paper.

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