The global site of the UK's leading magazine for automation, motion engineering and power transmission
29 March, 2024

LinkedIn
Twitter
Twitter link

Deep learning vision camera runs on-board neural networks

21 October, 2019

Flir Systems has developed what it describes as “the industry’s first deep-learning, inference-enabled machine vision camera with Flir Neuro technology”. The Firefly DL camera combines machine vision with deep learning to tackle complex and subjective applications such as recognising faces or determining the quality of solar panels.

The on-board Neuro technology allows users to deploy trained neural networks directly on the camera, eliminating the need for a host system when carrying out tasks such as classification, object detection and localisation. These networks support on-camera decision-making and make “inference on the edge” possible.

The open-platform Neuro technology supports popular frameworks such as TensorFlow and Caffe.

A trained neural network can be deployed on Flir’s deep-learning camera

Flir says that the camera – which costs £231 (ex VAT) in the UK – will allow original equipment manufacturers, engineers and manufacturers to solve challenging automation problems quickly. The small, low weight and low power consumption device can be embedded into mobile, desktop, and handheld systems.




Magazine
  • To view a digital copy of the latest issue of Drives & Controls, click here.

    To visit the digital library of past issues, click here

    To subscribe to the magazine, click here

     

Poll

"Do you think that robots create or destroy jobs?"

Newsletter
Newsletter

Events

Most Read Articles