Flir debuts new deep learning Firefly camera

At this year’s Vision show, Flir debuts the world’s first industrial camera supporting on-camera inference. The new Flir Firefly camera combines the best of machine vision with the power of deep learning. At just 27mm x 27mm x 14mm, 20 grammes weight, and 1.5W power consumption, it is ideal for portable devices. Excellent imaging is provided with the latest global shutter CMOS sensors, the company says. And, Flir adds, with its integrated Intel Movidius Myriad 2 vision processing unit (VPU), users deploy th
October 25, 2018 Read time: 1 min
At this year’s Vision show, 6778 Flir debuts the world’s first industrial camera supporting on-camera inference. The new Flir Firefly camera combines the best of machine vision with the power of deep learning. At just 27mm x 27mm x 14mm, 20 grammes weight, and 1.5W power consumption, it is ideal for portable devices. Excellent imaging is provided with the latest global shutter CMOS sensors, the company says. And, Flir adds, with its integrated Intel Movidius Myriad 2 vision processing unit (VPU), users deploy their trained neural network directly onto the camera to achieve inference on the edge.   


Stand: 1B42

For more information on companies in this article

Related Content

  • On a WIM – a global view of weigh in motion
    May 25, 2016
    Q-Free’s Andrew Lees looks at regional characteristics and technology trends in the global Weigh-In-Motion market. The principles of Weigh-In-Motion (WIM) are well established. Data derived from vehicles passing over in-ground sensors can be interpreted for vehicle classification (axle counts and spacing) and positive identification (especially when linked to image capture) applications as well as to derive individual axle and gross vehicle weight (GVW).
    Read More
  • Flir traffic webinar
    October 16, 2015
    Flir Traficon Academy has organised an informative webinar on 29 October that it says will teach participants more about keeping traffic flowing. According to Flir, one of the biggest challenges for ITS specialists is handling a wide variety of road users. For many years, dedicated detection solutions used to be required for a reliable detection of pedestrians, cyclists, and vehicles. The webinar will show how Flir’s ThermiCam/TrafiSense sensor can be used for pedestrian presence detection, bicycle p
    Read More
  • Simulating the effects of optimal mobility
    May 30, 2024
    Simulation-based optimisation is the foundation for real-time predictive analytics when it comes to optimal traffic signal programming, explain Sunny Chakravarty of Econolite and Lorenzo Meschini of PTV Group
    Read More
  • Machine vision needs standards to fulfil ITS demands
    May 28, 2014
    No-one should expect the enabling qualities of machine vision to come free of charge but Jason Barnes finds there is still much that ITS stakeholders can do to help reduce costs. After many years of application in high-end solutions for the enforcement and tolling sectors, machine vision is gaining traction in more general areas of traffic management. Nevertheless, those OEMs producing transport-oriented solutions which incorporate machine vision and looking to increase the technology’s share of the ITS mar
    Read More

Highlighted Content