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Technical Articles

Advanced memory technologies such as Mentor Graphics' coolSRAM-1T are valuable in embedded vision designs.


VR systems are incorporating practical computer vision techniques both to improve the user experience and reduce system cost.


Drones are a rapidly growing market for both consumer and commercial applications, and they increasingly leverage embedded vision technology


Real time inputs are categorized based on the pretrained classification model, in deciding whether the object is present or not.

FPGAs provide massively parallel architectures, efficient DSP resources, and large amounts of on-chip memory and bandwidth.

Deep learning has been enabled by, among other things, the steadily increasing processing "muscle" of CPUs aided by co-processors.


What was a buzz a couple years ago is now a roar. The beat of vision-based acquisitions is increasing and investment dollars are pouring in.

This article describes model estimation along with the motion correction stages of smoothing, rolling shutter correction, and frame warping.

The substantial parallel processing resources in modern GPUs makes them a natural choice for implementing vision-processing functions.


It was clear at the annual Embedded Vision Summit that the time of computer vision and deep learning on mobile device had finally arrived.