Flir Systems is launching the Flir Firefly DL, saying it is the industry's first deep learning, inference-enabled machine vision camera with Flir Neuro technology. With its small size, low weight, minimal power consumption and deep learning capabilities, the Flir Firefly DL camera is excellent for embedding into mobile, desktop and handheld systems.
The Firefly DL with deep learning enables original equipment manufacturers, engineers and machine builders to quickly develop and deploy machine vision for challenging automation tasks. Additionally, system integrators can reduce the cost and complexity of their work by deploying a trained neural network directly onto the camera, thereby eliminating the need for a host system to complete the tasks of classification, object detection and localisation.
Firefly DL combines machine vision performance with the power of deep learning to address complex and subjective problems, such as determining the quality of a solar panel or recognising faces. The Firefly DL camera is the first Flir camera to use Flir Neuro technology, which enables users to deploy their trained neural network directly onto the camera, making inference on the edge and on-camera decision-making possible. Flir Neuro provides an open platform and supports popular frameworks, including TensorFlow and Caffe, for maximum flexibility. Neuro is suitable for classification, and localisation and detection functionalities.
Flir Firefly DL is available for purchase through authorised distributors globally and online for £231 (+ VAT). Follow the link to learn more about the Flir Firefly DL and how to build your first deep learning classification system.