DETECTION IN COMPLEX OBJECTS USING X-RAY TESTING. We developed a system that is able to detect parts of interest inside of a complex object using multiple X-ray views. In this video we show how to detect all objects of this pen case in only 6 seconds.
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AUTOMATED DETECTION OF FISHBONES IN SALMON FILETES: X-ray testing is playing an increasingly important role in quality assurance of foods. We developed an X-ray machine vision approach to detect fishbones in fishfillets automatically. In the experiments, we used a high resolution flat panel detector that is able to take up to 6 millions pixels digital X-ray image. In only two seconds we are able to detect 95% of the fishbones automatically using 24 features and support vector machines. We believe that the proposed approach opens new possibilities in the field of automated visual inspection of fish.
AUTOMATED VISUAL INSPECTION OF TORTILLAS: We developed a computer vision method to classify the quality of corn tortillas automatically according to five hedonic sub-classes given by a sensorial panel. The proposed methodology analyzed 750 corn tortillas obtained form 15 different Mexican small, medium and large commercial stores. Using only 64 features and support vector machines we are able to detect 95% of all classes. We believe that the proposed methodology opens up new possibilities in the field of automated visual inspection of tortillas.
AUTOMATED VISUAL INSPECTIONS OF SALMONS: We developed a computer vision system to inspect salmon fillets automatically. Our system is able to detect 98% of the defects present in the surface of the fishfillets in only one second. Additionally, the system can store digital images and quality measurements of each fillet in a production line in order to obtain statistics.