Label-/tag-free traceability of electronic PCB in SMD assembly based on individual inherent surface patterns

Wigger, Benedikt; Meißner, Thomas; Winkler, Marcel; Foerste, Alexander; Jetter, Volker; Buchholz, Andreas; Zimmermann, André

doi:10.1007/s00170-018-2492-x

Cited by 10 publications

(7 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Other time improvements may include parallelization of the software application and/or reducing the image to hash codes [22,55,56]. Comparing with other state-of-the-art works, Takahashi et al [12] measured a time of 0.827 s to perform 1 vs. 1 comparison, while Wigger et al [15] reported a time to perform 1 vs. 1 comparison (The authors state that: "in the present case of 115 PCB parts, the identification process for one part takes 1.11 s", so we are assuming that is the time needed to perform 115 comparisons (the identification process does not stop after finding a correct correspondence). In that case, the extraction time takes 680 ms and the time for 1 vs. 1 comparison is calculated as 1000 × 0.42/150 = 3.7 ms.) of 3.7 ms. From the performed analysis, it is clear that time is one of the limitations of the proposed approach and the trade-off between time and accuracy may also be considered.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Cork as a Unique Object: Device, Method, and Evaluation

2018

View full text Add to dashboard Cite

Unique Objects (UNOs) are relevant for real-world applications such as anti-counterfeiting systems. In this work, cork is demonstrated as a UNO, part of the Physical Unclonability and Disorder (PUD) system. An adequate measurement kit (illumination device) and recognition method are also devised and evaluated. Natural hills and valleys of the cork are enhanced using the illumination device and the overall robustness of the recognition application inherent to UNOs is presented. The lighting device is based on grazing light and the recognition task is based on a local feature detector and descriptor called ORB - Oriented FAST (Features from Accelerated Segment Test) and Rotated BRIEF (Binary Robust Independent Elementary Features). The performance evaluation utilizes a private cork database (1500 photos of 500 cork stoppers) and three public iris databases. In the tests carried out on the illumination device, the results clearly show the success of capturing stable/repeatable features needed for the recognition task in the cork database. This achievement is also reflected in the perfect recognition score achieved in the cork database, in the intra-distance measure μ i n t r a , which gives the notion of average noise between measures, and in the inter-distance μ i n t e r which provides hints about the randomness/uniqueness of a cork. Regarding the recognition application, its effectiveness is further tested using the iris databases. Regardless of the fact that the recognition algorithm was not designed for the iris recognition problem, the results show that the proposed approach is capable of competing with the techniques found in the literature specially designed for iris recognition. Furthermore, the evaluation shows that the three requirements that constitute a UNO (Disorder, Operability, and Unclonability) are fulfilled, thus supporting the main assertion of this work: that cork is a UNO.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Wigger et al [15] proposed an individual object recognition system based on the surface patterns of Printed Circuit Boards (PCBs) for traceability purposes. The authors take advantage of the fiducial markers, commonly used to align the PCBs, to define the region of interest and capture the images.…”

Section: Related Workmentioning

confidence: 99%

Cork as a Unique Object: Device, Method, and Evaluation

2018

View full text Add to dashboard Cite

show abstract

“…Dies ermöglicht, Objekte markierungsfrei über ihren gesamten Lebenszyklus zu identifizieren. Die Identifikation kann selbst bei Objekten mit (teilweise) beschädigten oder weiter bearbeiteten Oberflächen gewährleistet werden [24,25]. Bei stark veränderten (zum Beispiel korrodierten), glänzenden oder spiegelnden Oberflächen stößt die Fingerprint-Technologie jedoch an Grenzen [24].…”

Section: Lösungsansätze Für Konsistente Identifikationssystemeunclassified

Nachverfolgbarkeit als zentrales Element zirkulärer Wertschöpfung/Traceability as a key element of circular value creation – Identification of objects for circular supply chains

Künster,

Dorka,

Bücheler

et al. 2024

View full text Add to dashboard Cite

Die Nachverfolgbarkeit von Objekten über deren gesamten Lebenszyklus hinweg, ist eine wichtige Voraussetzung für die effiziente Steuerung zirkulärer Wertschöpfung. Damit diese Nachverfolgbarkeit auch in komplexen und dynamischen Wertschöpfungsketten mit konsistenten Daten gewährleistet werden kann, ist eine durchgängige und eindeutige Identifikation von Objekten erforderlich. Dieser Beitrag stellt die Herausforderungen einer solchen Identifikation dar und Lösungsansätze vor.

show abstract

“…The communication amongst different machines and systems relies on cellular networks to facilitate mobility. Wigger et al [157] investigated the possibility of tracing and identification of printed circuit boards (PCB) through fingerprint-of-things (FOT), in this case surface pattern photography. Fiducial markers would be soldered onto 115 PCBs by solder paste screen printing.…”

Section: Category 3: Control Track and Trace-related Activitiesmentioning

confidence: 99%

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

2021

View full text Add to dashboard Cite

A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. One important step for such a transition is to identify the enabling technologies from a value-creating perspective. The existing corpus of literature has discussed the benefits and applications of smart technologies in overall manufacturing or logistics. However, there is limited discussion specifically on a production logistics level, from a systematic perspective. This paper addresses two issues in this respect by conducting a systematic literature review and analyzing 142 articles. First, it covers the gap in literature concerning mapping the application of these smart technologies to specific production logistic activities. Ten groups of technologies were identified and production logistics activities divided into three major categories. A quantitative share assessment of the technologies in production logistics activities was carried out. Second, the ultimate goal of implementing these technologies is to create business value. This is addressed in this research by presenting the “production logistics data lifecycle” and the importance of having a balanced holistic perspective in technology development. The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies.

show abstract

Label-/tag-free traceability of electronic PCB in SMD assembly based on individual inherent surface patterns

Cited by 10 publications

References 20 publications

Cork as a Unique Object: Device, Method, and Evaluation

Cork as a Unique Object: Device, Method, and Evaluation

Nachverfolgbarkeit als zentrales Element zirkulärer Wertschöpfung/Traceability as a key element of circular value creation – Identification of objects for circular supply chains

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

Contact Info

Product

Resources

About