AI / ML / NN

OAK cameras can run any AI model, even custom architectured/built ones. You can even run multiple AI models at the same time, either in parallel or series (a demo here).


AI vision tasks

We have open-source examples and demos for many different AI vision tasks, such as:

There are also many other AI vision tasks that don’t fall in any of the categories above, like crowd counting, monocular depth estimation, gaze estimation, or age/gender estimation.

All of the demos above run on color/grayscale frames. Many of these vision tasks can be fused with the depth perception (on the OAK camera itself), which unlocks the power of Spatial AI.

Model Performance

AI model performance depends on the accelerator that’s on the OAK device. For current devices that use RVC2 you can find the performance results here.

Got questions?

Head over to Discussion Forum for technical support or any other questions you might have.