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Deep learning su telecamera

Firefly DL

L’apprendimento approfondito rappresenta un potente strumento per i progettisti di sistema per automatizzare rapidamente processi decisionali complessi e soggettivi e fornire prodotti di maggiore qualità e una migliore produttività. Implementate la vostra rete neurale addestrata su FLIR Firefly DL con tecnologia Neuro e riducete il costo e la complessità del sistema prendendo decisioni sulla telecamera senza PC host. Grazie alla sua dimensione davvero ridotta, al basso peso e consumo energetico, la telecamera Firefly DL è ideale per l’integrazione nei sistemi mobili, portatili e desktop.

Firefly DL
Deep Learning for Faster Deployment and New Possibilities

Quickly develop and deploy accurate solutions to challenging automation problems with deep learning.

Deep Learning Inference On-Camera

Quickly develop and deploy accurate solutions to challenging automation problems with deep learning.

Ideal for Embedding into Compact, Portable Devices

Tiny package of 27 mm × 27 mm × 14 mm, only 2W power consumption and 20 gram mass.

Exposed Sensor: Design & Use Cases

The sensor in these models is open to the camera's electronics, offering greater design flexibility and cost-effectiveness for embedded and compact vision applications. However, these cameras may not be ideal for applications requiring high optical clarity, particularly under magnification or when using collimated light sources.

See Cleaning the imaging surface of your camera for guidance on what to do if dirt or dust particles are introduced to the sensor package window.

Media gallery

Getting Started with Firefly DL: Detection with a pre-trained neural network | FLIR Machine Vision
Getting Started with the Firefly DL: Using a newly-trained neural network | FLIR Machine Vision
Getting Started with the Firefly DL: Using the cat-dog inference network | FLIR Machine Vision
Introducing FLIR Firefly DL Inference Camera
On-camera deep learning & third generation Pregius – in action!

Resources & Support

Whitepaper

La tecnologia Neuro FLIR: Automatizzare le decisioni complesse più velocemente con l’IA

Read the Story

Technical Guidance

Firefly-DL Deep Learning Resources and Technical Documentation

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Technical Guidance

Online Camera References (Specs, EMVA, Dimensions, Features)

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Application Note

Using the Aravis GStreamer Source Plug-In

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Troubleshooting

Warnings on non-Intel hosts

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Application Note

Developing an Object Detection Application for Firefly-DL

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Application Note

Training a classification model for Firefly-DL using TensorFlow framework

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Application Note

Getting Started with Training a Caffe Object Detection Inference Network

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Application Note

Getting Started with Spinnaker SDK on MacOS

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Application Note

Getting Started with Firefly-DL in Linux

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Below are assets shared by all models of this product family.

For model-specific assets, select an option in the Model Finder above.

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Spinnaker SDK All Versions for Download

Software Download

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NeuroUtility

Software Download

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Below are assets shared by all models of this product family.

For model-specific assets, select an option in the Model Finder above.

Firefly USB3 Getting Started

Quick Start Guide

Download

Firefly USB3 Installation Guide

Installation Guide

Download

Firefly S/DL CAD Drawings

Drawing

Download

Contact Support

Your question may be answered in one of our 300+ Knowledge Base articles. Visit our Support Center and search for your product or the topic you have a question about.

Check out our Community Forum for answers and discussion.

To submit a support ticket, visit our Technical Support Center, or call us at +1-604-242-9937 (select option 2).

To request an RMA, please complete our Return and Repair Request Form.

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