Teledyne Flir

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.

The next generation of high-performance CMOS sensors will open the door to exciting new vision applications, but taking advantage of them will depend on whether your interface can keep up. Ethernet and USB interfaces are increasing their transfer rates to 10Gb/s, adding to the strengths that make them dominant camera interfaces. What are these new technologies and are they ready for machine vision use?