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With the growing popularity of CNNs, there’s a growing range of processor options being used to deploy these algorithms.

Applications like this have the potential to take Augmented Reality (AR) mainstream much faster than Virtual Reality (VR).

What functions will the cameras on board future cars perform, and where will they go?

By following in the footsteps of those who have come before you, you can gain valuable insights for use in your own development efforts.

Eye tracking is not new, but head mounted displays for virtual reality could be the catalyst technology needed to unlock its true potential.

CNNs and other deep learning techniques are rapidly becoming key enabling technologies for applications requiring object recognition, etc.

Instead of being vetted and improved in a sporadic crowd-sourced manner, formal industry standards have a structured process behind them.

Recent Embedded Vision Summit presentations give a thorough review of the state of ADAS today, along with its increasingly autonomous future

While technology is critical, business topics are also central, as vision technology comes out of the lab and into many commercial products.

Several presentations at the recent Embedded Vision Summit addressed various aspects of the computer vision software development process.