‘FLIR Firefly’ Integrates Three Devices into a Quarter-Size Camera

FLIR Firefly® cameras are the industry’s first deep learning inference-enabled machine vision camera. Integrating the Intel® Movidius™ Myriad™ 2 Vision Processing Unit (VPU), the FLIR Firefly is designed for image analysis professionals using deep learning for improved decision accuracy, and faster, easier system development.

flir ncs

FLIR Firefly® camera family, which incorporates the Intel® Movidius™ Myriad™ 2 Vision Processing Unit (VPU) for artificial intelligence at the edge. The Firefly* combines a new machine vision platform with the power of deep learning to address complex and subjective problems, such as classifying the quality of a solar panel or determining whether fruit is of export quality.

FLIR engineers accelerated the Firefly’s development cycle using the Intel® Movidius™ Neural Compute Stick (NCS) for prototype development. For large-scale commercial production, they ported that development work to the Intel Movidius Myriad 2 VPU. By rapidly prototyping on the Intel Movidius Neural Compute Stick and the Neural Compute SDK, FLIR streamlined the development of machine learning in the camera. The production version of the Firefly uses the tiny, stand-alone Intel Movidius Myriad 2 VPU to perform two roles at the edge: image signal processing and open platform inference.

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FLIR Firefly combines a new, affordable machine vision platform with the power of deep learning to address complex and subjective problems such as classifying the quality of a solar panel or recognizing faces. The FLIR Firefly leverages the Intel’s advanced capabilities in a 27 mm x 27 mm x 14 mm, 20 gram and low 1.5 W power camera, ideal for embedded and handheld systems. Intel Movidius Neural Compute Stick users can easily deploy existing networks directly onto the Firefly, and machine makers can load their trained neural networks directly onto Firefly’s integrated VPU.

The FLIR Firefly’s seamless set up and unique design reduces system size and improves speed, reliability, power efficiency, and security. With FLIR Firefly powered by Intel Movidus Myriad 2 VPU, FLIR is enabling the designers of inspection and automated production cameras to leverage deep learning faster and at lower costs.

Firefly DL

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

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 POSSIBLITIESQuickly develop and deploy accurate solutions to challenging automation problems with deep learning.
  • DEEP LEARNING INFERENCE ON-CAMERAReduce 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 DEVICESTiny package of 27 mm × 27 mm × 14 mm, only 2W power consumption and 20 gram mass

https://www.flir.com/products/firefly-DL/