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Astrocyte Artificial Intelligence software
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Based on artificial intelligence, Astrocyte is an application
that is designed to train neural networks on 2D images for a wide
variety of applications. With an interface that delivers impressive
flexibility, users can use their own image samples to train neural
networks for the purpose of unique object detection/classification,
noise reduction and segmentation.
Astrocyte offers visualising and interpreting models for optimised
performance and reliability. Furthermore, you can export these
models for later use at runtime using Teledyne Dalsa's Sapera
and Sherlock platforms.
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Key Features
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• Supports Microsoft Windows (Linux to
come)
• Pre-trained models for reduced training effort
• Export of model file to interface with Sapera Processing
and Sherlock for runtime inference
• Visualization of model performance with numerical metrics
and heatmaps.
• Graphical view of training progress with possibility of
cancelling/resuming sessions
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• Access to hyperparameters for highly
flexible training, including selection of neural network type.
• Import of training samples from local or remote locations
with various file selection schemes.
• Multiple deep learning architectures for a wide range of
applications.
• Training deployed on user PC for full privacy (no need to
share data on cloud).
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Noise
Reduction |
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Segmentation
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Noise
reduction intends to deliver a higher-quality images from its original
state. It is an important component in applications such as digital
photography, medical image analysis, remote sensing, surveillance
and digital entertainment. |
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Image segmentation is important component in computer vision
and is used for defect sorting/qualification, food sorting, shape
analysis, etc. Image segmentation involves dividing input image
into segments to simplify image analysis.
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Object
Detection |
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Object
Classification |
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Object
Detection involves identifying one or more objects of interest in
an image. Object Detection is used to solve problems like presence
detection, object tracking, defect localization and sorting, etc.
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Classification
involves predicting which class an item belongs to. Classification
is used to solve problems like detect identification, character recognition,
presence detection, food sorting, etc. |
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Both Sapera
Processing and Sherlock
include an inference tool for each of the supported model architectures.
Model files are imported into the inference tool and ready for execution
on live video stream. The inference tool can be coupled with other
image processing tools such as blob analysis, pattern matching,
barcode reading, etc.
The examples provided include source code which can be used conjunction
with Sapera LT for acquiring images from Teledyne DALSA cameras
and frame-grabbers.
Sapera LT is an image acquisition control software
development toolkit for Teledyne Dalsa's cameras and frame grabbers.
Hardware independent, Sapera offers a rich development system for
machine vision OEMs and system integrators.
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Need
a price or more application information? Please
email Adept Turnkey or call our offices
Adept Turnkey Pty Ltd is "The Machine
Vision and Imaging Specialists" and distributor of Teledyne Dalsa
products in Australia and New Zealand. To find out more about any
Teledyne Dalsa product, please call Adept Turnkey at Perth (08) 9242
5411 / Sydney (02) 9905 5551 / Melbourne (03) 9384 1775 or contact
us online. |
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