FLIR Firefly Camera Melds Machine Vision With Deep Learning
FLIR claims the Firefly is the industry’s first deep learning inference-enabled machine vision camera.
WILSONVILLE, Ore. — FLIR Systems reveals the FLIR Firefly camera family, which it claims is the industry’s first deep learning inference-enabled machine vision camera.
The FLIR Firefly, which integrates the Intel Movidius Myriad 2 vision processing unit (VPU), is designed for image analysis professionals using deep learning for more accurate decisions, and faster, easier system development, according to the company.
The FLIR Firefly leverages the Intel Movidius Myriad 2 VPU’s capabilities in a compact and low-power camera, well-suited for embedded and handheld systems. FLIR says machine makers can load their trained neural networks directly onto the Firefly’s integrated VPU.
“Automated analysis of images captured by machines is a key part of our day-to-day lives that few of us think about,” says James Cannon, president and CEO of FLIR. “The quality, affordability, and speed-to-market of items like our smartphones or the food on our tables are made possible by systems using cameras doing both inspection and automated production. With the FLIR Firefly powered by Intel Movidius Myriad 2 VPU, we are enabling the designers of these systems to leverage deep learning faster and at lower costs.”
Additionally, Intel Movidius Neural Compute Stick users can deploy their existing networks directly onto the Firefly. This design reduces system size and improves speed, reliability, power efficiency and security, according to the company.
“The Intel Movidius Neural Compute Stick enabled FLIR to rapidly prototype, streamlining the early development of machine learning in the Firefly,” says Adam Burns, director of computer vision products at Intel. “Now the FLIR Firefly uses the compact, efficient Intel Movidius Myriad 2 VPU to perform real-time inference in the camera, without compromising the amazing levels of miniaturization that FLIR has achieved in this device.”
The camera family will be available in 2019. View the video below to learn more.
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