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FFY-U3-16S2C-S-DL: 1.6 MP, 60 FPS, Sony IMX296, Color

Model: FFY-U3-16S2C-S-DL
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Deep learning is a powerful tool for system designers to quickly automate complex and subjective decision making and deliver higher quality products and improved productivity. Deploy your trained neural network to the FLIR Firefly DL with Neuro technology and reduce system cost and complexity by making decisions on-camera without host PC. With its very small size, low weight and power consumption, the Firefly DL camera is ideal for embedding into mobile, desktop, and handheld systems.

Key Specs

Megapixels
Frame Rate
Sensor
1.6 MP
60 FPS
Sony IMX296
In Production
$326.00
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Firefly DL Overview

Deep learning is a powerful tool for system designers to quickly automate complex and subjective decision making and deliver higher quality products and improved productivity. Deploy your trained neural network to the FLIR Firefly DL with Neuro technology and reduce system cost and complexity by making decisions on-camera without host PC. With its very small size, low weight and power consumption, the Firefly DL camera is ideal for embedding into mobile, desktop, and handheld systems.

DEEP LEARNING FOR FASTER DEPLOYMENT & NEW POSSIBLITIES

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

DEEP LEARNING INFERENCE ON-CAMERA

Reduce system cost and complexity by deploying your trained network to a Firefly DL camera, eliminating the need for a host system for classification tasks

IDEAL FOR EMBEDDING INTO COMPACT, PORTABLE DEVICES

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

Specifications

Highlighted

Resolution
1440 x 1080
Megapixels
1.6
Max Frame Rate Standard
60
Pixel Size
3.45
Lens Mount
S-mount
Sensor Type
CMOS
Shutter type
Global shutter
Sensor Model
Sony IMX296
Data Interface
USB 3.1 Gen 1
Spectrum
Color
Part Number
FFY-U3-16S2C-S-DL

Features

Acquisition Modes
Continuous / Single Frame / Multi Frame
Exposure Range
29.0 µs to 30.0 S
Flash Memory
24 MB non-volatile memory
Image Buffer
32 MB
Image Processing
Gamma, lookup table, denoise, and sharpness
Partial Image Modes
ROI
User Sets
2 user configuration sets for custom camera settings

Performance

Absolute Sensitivity Threshold (y)
9.54
Dynamic Range dB
65.61
Gain Range
0.0 to 48.0 dB
QE Blue
47 (470 nm)
QE Green
57 (525 nm)
QE Red
44 (630 nm)
Saturation Capacity (e-)
10408
Temporal Dark Noise (Read Noise)
4.95

Physical

Auxiliary Output
3.3 V, 120 mA maximum
Connector
USB3 Micro-B | JST BM06B-NSHSS-TBT
Digitization Bit Depth (ADC)
10-bit
Dimensions [W x H x L]
27 mm x 27 mm x 14.5 mm
Mass
20 g
Non-Isolated I/O Ports
4 bi-directional
Operating Humidity
20% to 80% (no condensation)
Operating Temperature
0°C to 85°C (case)
Optical Filter
IR cut-off (670 nm)
Power Consumption [Maximum]
2.2 W
Power Requirements
5 V via USB 3.1 interface
Sensor Format
1/2.9"
Serial Port
1 (over non-isolated I/O)
Storage Humidity
20% to 95% (no condensation)
Storage Temperature
-30°C to 60°C (ambient)

Recommended System Configuration

Port
USB3 Port

Compliance & Certifications

Compliance
CE, FCC, KCC, RoHS, REACH. The ECCN for this product is: EAR099
Machine Vision Standard
USB3 Vision v1.0
Warranty
3 years

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

Teledyne FLIR Neuro Technology: Automate Complex Decisions Faster with Deep Learning

Read the Story

Technical Guidance

Firefly-DL Deep Learning Resources and Technical Documentation

Learn more

Technical Guidance

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

Learn more

Application Note

Using the Aravis GStreamer Source Plug-In

Learn more

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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Whitepaper

How to Build a Deep Learning Classification System for Less than $600 USD

Read the Story

Application Note

Getting Started with Spinnaker SDK on MacOS

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Spinnaker SDK

Software Download

Download

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

Firmware Download

Download

NeuroUtility

Software Download

Download

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

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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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