FLIR Firefly Integrates Intel® Movidius™ Myriad™ 2 VPU to Enable Deep Neural Networks for On-Camera Inference
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FLIR Firefly Integrates Intel® Movidius™ Myriad™ 2 VPU to Enable Deep Neural Networks for On-Camera Inference (Photo: Business Wire)
Traditional rules-based software is ideal for straightforward tasks such as barcode reading or checking a manufactured part against specifications. The FLIR Firefly combines a new, affordable machine vision platform with the power of deep learning to address complex and subjective problems such as recognizing faces or classifying the quality of a solar panel.
The FLIR Firefly leverages the Intel Movidius Myriad 2 VPU’s advanced capabilities in a compact and low-power camera, ideal for embedded and handheld systems. Machine makers can load their trained neural networks directly onto the Firefly’s integrated VPU. Additionally, Intel Movidius Neural Compute Stick users can easily deploy their existing networks directly onto the Firefly. This unique design reduces system size and improves speed, reliability, power efficiency, and security.
“Automated analysis of images captured by machines is a key part of our day-to-day lives that few of us think about,” said 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.”
“The Intel Movidius Neural Compute Stick enabled
FLIR will demonstrate a preview of the Firefly camera at the VISION conference in
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