Cart

Added to cart

Go to cart

Your order qualifies for free 2-day shipping and easy returns

Shipping & Returns Policy

Aprendizaje profundo en la cámara

Firefly DL

El aprendizaje profundo es una potente herramienta para que los diseñadores de sistemas automaticen rápidamente la toma de decisiones compleja y subjetiva con el fin de ofrecer productos de alta calidad y lograr mayor productividad. Implemente su red neural entrenada en la FLIR Firefly DL con tecnología Neuro y reduzca el coste y la complejidad del sistema gracias a la toma de decisiones en la cámara, sin necesidad de un PC host. Con su tamaño muy pequeño, bajo peso y consumo de energía, la cámara Firefly DL es ideal para integrarse en sistemas móviles, de escritorio y portátiles.

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.

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

Application Note

Getting Started with Firefly-DL in Linux

Más información

Application Note

Getting Started with Firefly-DL in Windows

Más información

Application Note

Neural Networks Supported by Neuro on the Firefly-DL

Más información

Application Note

Tips for Creating Training Data for Deep Learning Neural Networks

Más información

Application Note

Storing Data in On-Camera Flash Memory

Más información

Technical Guidance

How is gamma calculated and applied?

Más información

Troubleshooting

Solving Link Recovery Errors on USB3

Más información

System Requirements

Providing power to the camera

Más información

Technical Guidance

Remotely Power Cycle a USB 3.1 Camera

Más información

System Requirements

How does my USB 3.1 camera appear in Device Manager?

Más información

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

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

You must be logged in to download software or firmware. Please sign in or create an account here.

Spinnaker SDK

Software Download

Download

Firefly DL Camera Resources (EMVA, installation guidance, CAD/drawings, datasheets, and technical reference features)

Online Reference

Download

FFY-U3-16S2-DL Package for 1905.4.103.x Firmware

Firmware Download

Download

NeuroUtility

Software Download

Download

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

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

FFY Installation Guide

Installation Guide

Download

FFY-U3 Getting Started

Quick Start Guide

Download

FFY-U3-16S2-DL Datasheet

Datasheet

Download

FFY-U3-16S2-DL EMVA Imaging Performance

Imaging Specification

Download

FFY-U3-16S2-DL Technical Reference

Technical Reference

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 Knowledge Base and search for your product or the topic you have a question about.

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.

Related Products

Related Content
Whitepaper

Teledyne FLIR Neuro Technology: Automatice las decisiones complejas con IA

Read the Story
News

FLIR Systems y Neurala hacen más accesible la inspección de aprendizaje profundo para la línea de producción

Más información
Whitepaper

Cómo desarrollar un sistema de clasificación de aprendizaje profundo por menos de 600$

Read the Story