Teledyne DALSA Astrocyte empowers users to harness their own images of products, samples, and defects to train neural networks (Deep learning AI) to perform a variety of tasks such as anomaly detection, classification, object detection, segmentation, and noise reduction. Top rated Technical support from onlsol.com for Artificial Intelligence and Deep Learning Software in India.
◆Astrocyte significantly improves quality, productivity, and efficiency in X-ray medical imaging
◆The tiny and random nature of fibers on X-ray detectors make them challenging and time consuming for traditional methods or humans.
◆With Astrocyte, the X-ray solutions team was able to rapidly identify all defects and even outperform their operators.
◆Classification of good and bad metal sheets. Tiny scratches on metal are detected and classified as bad samples.
◆Astrocyte detects small defects on high resolution images of rough texture. Just a few tens of samples are required to train a good accuracy model.
◆Classification is used when good and bad samples are available, while Anomaly Detection is used when only good samples are available.
◆Localization and classification of various types of knots in wood planks.
◆Astrocyte can robustly locate and classify small knots 10-pixels wide in high-resolution images of 2800 x 1024 using the tiling mechanism which preserves native resolution.
◆Detection and segmentation of various types of vehicles in outdoor scenes.
◆Astrocyte provides output shapes where each pixel is assigned a class.
◆Usage of blob tool on the segmentation output allows performing shape analysis on the vehicles.
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