Robust Detection of Paint Defects in Moulded Plastic Parts

Tarry, Cole; Stachowsky, Micheal; Moussa, Medhat

doi:10.1109/crv.2014.48

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…Over the years, researchers have modified PMD to measure different specular objects [11,26,27]. PMD is also successfully applied for specular and semi-specular surface defect detection [28][29][30][31][32][33]. However, various challenges arise while implementing deflectometry to inspect a larger part like a car bumper which are successfully addressed in the developed system.…”

Section: Deflectometry Principlementioning

confidence: 99%

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An Efficient Automotive Paint Defect Detection System

Akhtar¹,

Tandiya²,

Moussa³

et al. 2019

Adv. sci. technol. eng. syst. j.

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Vision-based defect detection techniques are widely used for quality control purposes. In this work, an efficient deflectometry based detection system is developed for semi-specular/painted surface defect detection. This system consists of a robotic arm that carries a screen/camera setup and can detect defects on large surfaces with different topologies, such as a car bumper, by traversing its profile. A hybrid pipeline is designed that utilizes multi-threading for optimal resource utilization and process speed. Specific filters are also designed to remove spurious defects introduced by acute curvature changes and part edges. The system was successful in consistently detecting various defects on small test samples as well as on large bumper parts with varying topology and color and can accommodate inherent ambient lighting and vibration issues.

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Section: Deflectometry Principlementioning

confidence: 99%

“…The phase map (φ(x, y)) is in 0 − 2π range, so a phase unwrapping step is needed to recover the actual phase with the inclusion of appropriate multiples of 2π [37]. Then the absolute derivative of the phase map is computed with respect to pattern variation axis (x-axis) as defined by the following equation [33]:…”

Section: Phase-shifting Deflectometrymentioning

confidence: 99%