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Astrocyte – Artificial Intelligence and Deep learning Software

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.
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Surface inspection on metal plates

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.


Detection/segmentation of vehicles

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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