Deep learning

Using deep learning in machine vision

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More and more, machine vision systems are expected to make dynamic, automated decisions based on variable conditions. The amount of time and effort to develop these systems can be daunting. Today, the advent of deep learning is changing this landscape and putting automation within the reach of many. Resources such as open-source libraries, Nvidia hardware, and FLIR cameras are helping to make this change happen FLIR cameras have advanced features that minimize the image pre-processing required for neural network training, work seamlessly with platforms such as NVidia Jetson TX-2 and Drive PX 2, and offer 24/7 reliability for trouble-free deployment.

Sights on 3D

Cognex has strengthened its position in 3D vision with a number of recent company acquisitions in the area, as Greg Blackman discovers

Do you speak neural network?

Neural networks will be the common language of the future for computer vision, according to Professor Jitendra Malik from UC Berkeley. Greg Blackman listened to his keynote at the Embedded Vision Summit in Santa Clara

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