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Camera ApplicationsLife Sciences

Manual microscopes vs. AI-based automated digital microscopes: An in-depth look

Balaji S
by Balaji S01973
In this blog, let’s explore the advantages and disadvantages of manual and automated microscopy and examine how AI-based embedded vision technologies are changing the medical
Camera ApplicationsLife Sciences

What is a flow cytometer and how does it work?

Balaji S
by Balaji S02807
Embedded vision technology plays an important role in flow cytometers. They enable the acquisition, analysis, and interpretation of large amounts of cellular data in real
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Unleashing the Power: A Guide to Model Inference and Visualizing Output with EdgeECAM50_USB

Suresh Madhu
by Suresh Madhu01689
Model inference is a crucial step in deploying machine learning models for practical applications such as Image and Object Recognition, medical diagnosis, and more. The
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Bring your own Model (BYOM) and deploy it with EdgeECAM50_USB

Suresh Madhu
by Suresh Madhu01476
Custom vision AI models can train and customize vision-based machine learning models to tackle specific tasks like image classification, object detection, or image segmentation. With
Camera ApplicationsLife Sciences

What is a programmable camera? Why do modern medical applications need it?

Balaji S
by Balaji S02252
The role of programmable cameras in the modern medical industry has been unprecedented. Thanks to the latest embedded vision advancements, they can now deliver real-time