Real-time multi-barcode reader for industrial applications

Zafar, I.; Zakir, Usman; Edirisinghe, Eran A.

doi:10.1117/12.854645

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…The most common problems are related to difficulties reading the 2D code due to errors in code printing and also surface contamination, water and humidity and varying lighting levels, which affect the code recognition. Novel decoding algorithms [15] and optical hardware integrated with machine vision advances address reflection and illumination problems [16]. However, poor system accessibility, operability and maintenance remain a problem for 2D system deployment in automated parallel manufacturing systems.…”

Section: ) 2d Datamatrix Vision System Challengesmentioning

confidence: 99%

Towards industrial internet of things: Crankshaft monitoring, traceability and tracking using RFID

Segura-Velandia

Kaur

Whittow

et al. 2016

Robotics and Computer-Integrated Manufacturing

121

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Abstract-The large number of requirements and opportunities for automatic identification in manufacturing domains such as automotive and electronics has accelerated the demand for item-level tracking using radio-frequency identification technology. End-users are interested in implementing automatic identification systems, which are capable of ensuring full component process history, traceability and tracking preventing costly downtime to rectify processing defects and product recalls. The research outlined in this paper investigates the feasibility of implementing an RFID system for the manufacturing and assembly of crankshafts. The proposed solution involves the attachment of bolts with embedded RFID functionality by fitting a reader antenna reader to an overhead gantry that spans the production line and reads and writes production data to the tags. The manufacturing, assembly and service data captured through RFID tags and stored on a local server, could further be integrated with higher-level business applications facilitating seamless integration within the factory.

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Section: ) 2d Datamatrix Vision System Challengesmentioning

confidence: 99%

Towards industrial internet of things: Crankshaft monitoring, traceability and tracking using RFID

Segura-Velandia

Kaur

Whittow

et al. 2016

Robotics and Computer-Integrated Manufacturing

121

View full text Add to dashboard Cite

show abstract

“…Therefore, the rate of misidentification remains high and results in the failure of the VOS. A real-time barcode reader was designed and implemented for an industrial application where the blur was suecesfully removed from the image as they adopted the MATLAB function ''deconvblind" [19] that uses an approach based on blind de-convolution and a maximum likelihood function. This was considered to be a potentially efficient way of removing the blur from the images.…”

Section: T D P Sensing Systemmentioning

confidence: 99%

Sensing and vision-based control of a spherical motion platform

Zhou¹

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Vision System Experimentation in Furniture Industrial Environment

et al. 2021

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The integration of devices that support manufacturing activities and the interaction of workers with these devices in production plants, leads to potential benefits in the industrial environment. Problems, bottlenecks and improvement opportunities throughout production times need to be detected, analyzed and prioritized in order to select the most suitable solutions and address them properly. The integration of particular devices supports the manufacturing process and prevents the need for contingency planning; it also increases the quality of the produced goods, which leads to higher customer confidence and satisfaction. The scope of this article focuses on the development and experimentation of a vision system for the recognition of product components in order to support the classification of such items by the users working in a particular area of the production line. Even if the proposed solution presents a low level of human interaction and innovation, the objective of this paper is to demonstrate how the proposed classification system brings valuable benefits to the overall manufacturing process in a traditional furniture environment, with the inherent advantage that workers can perform this task in a more guided and riskless manner. The Overall Equipment Effectiveness (OEE) approach was adopted to measure the benefits of the solution, which are described in article.

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Real-time multi-barcode reader for industrial applications

Cited by 3 publications

References 5 publications

Towards industrial internet of things: Crankshaft monitoring, traceability and tracking using RFID

Towards industrial internet of things: Crankshaft monitoring, traceability and tracking using RFID

Sensing and vision-based control of a spherical motion platform

Vision System Experimentation in Furniture Industrial Environment

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