Teledyne DALSA Astrocyte is an AI training tool software that quickly deploys AI models with no need for coding or AI expertise. With the Astrocyte specialized algorithms for classification, anomaly detection, object detection, and segmentation tasks and the easy to use graphical user interface (GUI) tools, training neural networks can be deployed easier, faster, and more affordably.
The easy to use Graphical user interface provides users with the tools to create image samples from live image streams or import image samples, import or create annotations, view, edit, manipulate and export dataset.
Astrocyte AI trained models are well suited for applications such as identifying subtle defects and handling variations in shade and perspective that traditional machine vision algorithms can’t handle.
Example of traditional machine vision inspectionvsAstrocyte classification algorithm for inspection
As shown in the example below, Astrocyte AI tools overcome the difficulties that are encountered by traditional machine vision inspection applications.
With no coding and the easy to use graphical user interface an AI model can be trained in under 10 minutes with good data.
Some examples of the GUI interface are shown below.
Astrocyte’s AI training tools are an ideal solution for many industrial machine vision and medical imaging applications. Here are some real world examples of how Astrocyte AI training tools software are currently being used.
Plastic recycling
In plastic recycling Astrocyte’s AI classification algorithm classifies and screens more than 30 types of materials to ensure high accuracy and high quality material.
Medical Imaging
Astrocyte AI tools have also been used to improve the quality, productivity, and efficiency in X-ray medical imaging. Tiny fibers that can collect on X-ray detectors make it difficult and challenging to identify the defects. Using Astrocyte AI analysis, the defects are identified accurately and more expeditiously.
Screw Thread Inspection
This example shows how Astrocyte AI tools can be used in inspection applications to classify good and bad screw threads. Small defects can be detected and classified into good and bad parts using just tens of sample images to train a model. Using anomaly detection a binary classifier (good/bad) trained on “good” images only clearly identifies the defective screw.
Using Astrocyte for Inspection
Easily integrate Astrocyte with Sapera Processing and Sherlock for runtime inference. Combine rule-based algorithms with AI models for a full solution.