NVIDIA JETSON NANO AND ITS CAMERAS
The Jetson Nano is a powerful single board computer from NVidia. Featuring the extraordinary GPU performance, this NVidia development board is widely used in image processing applications like motion-tracking, face recognition and home surveillance camera systems, and a smart camera is a key to realizing all of them. However, currently, the market does not offer many Jetson Nano cameras to choose from. Those cameras are either expensive or not able to cover the various user demands.
FROM RASPBERRY PI TO THE JETSON NANO
The NVidia Jetson Nano is a significant rival to the Raspberry Pi as it provides much better performances at a reasonable price tag, and at the same time, it keeps a similar appearance and functionalities for the compatibilities. The Raspberry Pi camera V2, for example, is compatible with and used a lot on the Jetson Nano.
How to Use Camera Modules on Jetson Nano
There are not many instructions about how to use the camera module on Jetson Nano, and here is our video demo:
The Raspberry Pi camera V2 is an 8 megapixel camera module with the Sony IMX219 sensor. If you are on a Raspberry Pi, you might have to go with the official Raspberry Pi camera module V2, but that’s not the case for the Jetson Nano.
As one of the major manufactures of the camera modules for the Raspberry Pi, Arducam is glad to bring the varieties of the Raspberry Pi cameras to the Jetson Nano community. We are thrilled to introduce our newest 8MP IMX219 camera modules for the NVidia Jetson Nano. You will be able to use autofocus or a spy camera on Jetson Nano, and the M12 Mount (S-Mount) also ensures that you will have a variety of lens to choose from, whether it’s a telescope, wide angle, fisheye or zero distortion lens, and that’s definitely a good news for those looking for a Jetson Nano camera lens.
However, if you still want to go with the original Raspberry Pi camera V2 but want to use the Autofocus and M12 features, you can try the solution for the drop-in replacement for Raspberry Pi Camera V2.