FLIR Systems has released its new FLIR Firefly camera family, which it claims is the first deep learning inference-enabled machine vision camera. Firefly is designed for image analysis professionals using deep learning for more accurate decisions, and faster, easier system development.
The FLIR Firefly leverages the Intel Movidius Myriad 2 VPU’s capabilities in a compact and low-power camera, suited to embedded and handheld systems, which could include automated security solutions such as drones. FLIR says machine makers can load their trained neural networks directly onto the Firefly’s integrated VPU.
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.
“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.”