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Articles by BDTI in the Embedded Vision Academy.

For machine learning to deliver its potential, it requires sufficient high quality training data, plus developer knowledge of how to use it.

This article reviews deep learning implementation options such as heterogeneous processing, network quantization, and software optimizations

Deep learning-based vision processing is an increasingly popular and robust alternative to classical computer vision algorithms.

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

OpenVX enables embedded vision application software developers to efficiently harness the processing resources available in SoCs and systems

OpenCL enables software developers to efficiently harness diverse processing resources in embedded vision.

You now can hold in the palm of your hand computing power that required a desktop PC form factor just a decade ago.

The transition from elementary image capture to image analysis, interpretation and response requires more capable image sensor subsystems.

With the emergence of capable processors and image sensors, it’s practical to incorporate computer vision into a range of embedded systems.

"Embedded vision" refers to the use of computer vision technology in embedded systems, i.e. systems that extract meaning from visual inputs.

OpenCV, an open-source software component library for computer vision application development, is a powerful algorithm prototyping tool.

It's becoming practical to incorporate computer vision into embedded systems, enabling them to analyze their environments via video inputs.

Embedded vision is the evolution and extrapolation of computer-based vision systems that process and interpret meaning from images.

What innovation can alert users to a child struggling in a swimming pool, or an intruder attempting to enter a residence or business?

A diversity of image sensors are available for your consideration, differentiated by their process foundations and circuit implementations.

With the emergence of increasingly capable processors, it's now practical to incorporate computer vision into a range of embedded systems.

With a simple web camera, some open source software, and an animatronic head kit, FaceBot will introduce you to face detection and tracking.

OpenCV is a collection of software algorithms in a library to be used by industry & academia for computer vision applications and research.

For many, computer vision was first imagined as the unblinking red lens through which a computer named HAL spied on the world around itself.

In less-than-ideal optical systems, like those found in cheap smartphones and tablets, incoming frames will be distorted along their edges.