Automated optical vision inspection system is vision-based with image processing that discovers the defects by image analysis and vision eyes. Cracks ,damages, scratches are normal surface problems in quality inspection. Cracks inspection using non-destructive and non-contact methods are widely used in the industry. From small electronic parts to bulky wood, ceramics and wool, vision inspection method is cost effective, with high re-productivity and reliability.
For crack detection, a manufacturer might wish to tune the algorithm to detect cracks of specific length, shape and depth. In this case, 3D analysis is required to determine crack depth. The first step in the procedure is the actual detection of the cracks. With greyscale analysis, algorithms based on morphological segmentation are a simple choice used to detect an initial crack region. Characterization of the suspected crack in 3-dimensional is then performed in order to reduce false positives. Segmentation and extraction of the surface shape of the suspected crack allows to discern between true and false positive detection.
To facilitate success of both crack detection and production line, it’s importance to dsudy the characteristics of surface damages. For this purpose, the 3D reconstruction of detected cracks can be studied and their geometric characteristics, such ad depth and branching, can be fed to a classifier. The surface information is used to train classifiers by using the relevant information, enabling them to classify cracks of specific origins.
No single algorithm can operate in all scenario, therefore it is imperative to adjust the inspection algorithm to the nature of production. Combine both the skills and the experience to construct in-line and off-line inspection algorithms for all kinds of production lines and inspection tasks.
About Shenzhen Sipotek Technology Co., Ltd
Started in 2002, Sipotek Technology is located in Shenzhen in China. The company designs and manufactures visual inspection systems with its avant-garde R&D department and a great experience in artificial vision technologies. The Sipotek Technology staff supports customers 360 degrees, from listening to their requests to the development of ambitious machines for quality control.
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Contact Person: James Yuan
Company: Shenzhen Sipotek Technology Co., Ltd
Tel: 86-+86 18666216027
Email: [email protected]