Flir deep learning camera to be launched at Vision 2018

Share this on social media:

Flir Systems has released a deep learning, inference-enabled machine vision camera. The company will preview its Firefly camera at the Vision trade fair in Stuttgart, Germany from 6 to 8 November.

The Flir Firefly integrates Intel’s Movidius Myriad 2 vision processing unit (VPU) to perform real-time deep learning inference onboard the camera.

Flir said the camera is designed to address complex and subjective problems such as recognising faces or classifying the quality of solar panels. It has low power consumption, making it ideal for embedded and handheld systems.

In August, Flir bought software company Cvedia, which makes a virtual test bed for users to train, validate and verify machine learning algorithms. Flir wants to use Cvedia’s technology to develop thermal spectrum-based deep learning training tools.

Firefly is based on different technology to that from Cvedia, but the activity around deep learning suggests that Flir considers deep learning tools important for its future.

Machine makers can load trained neural networks directly onto the Firefly’s VPU. Additionally, Intel Movidius Neural Compute Stick users can deploy their existing networks directly onto the Firefly.

‘The Intel Movidius Neural Compute Stick enabled Flir to rapidly prototype, streamlining the early development of machine learning in the Firefly,’ said Adam Burns, director of computer vision products at Intel.

Related news

The 2018 winners Photoneo. Credit: Messe Stuttgart

26 July 2021

Interested parties have until the 11 August to submit their entries for the prize for innovation in machine vision

Image: Messe Stuttgart

12 July 2021

The trade fair will take place from 5 to 7 October. Florian Niethammer at Messe Stuttgart said: 'We are sensing enormous anticipation'

Credit: Nataly Reinch _ Shutterstock.com

27 May 2021

The vision devices use Sony's IMX500 sensor, which is able to run AI algorithms on the chip to provide real-time information about free parking spaces and other transport data

20 April 2021

The Kria K26 SOM is built on top of the Zynq UltraScale+ MPSoC architecture. It has 4GB of DDR4 memory and 245 IOs for connecting sensors

14 April 2021

The platform integrates the Nvidia Jetson TX2NX module with an edge-to-cloud software stack including AWS Panorama Device SDK

22 February 2021

Participants in the Embedded Camera API Exploratory Group will discuss requirements for new interoperability standards to accelerate market growth and reduce development costs