[Tutorial] Arducam Camarray 12MP*2 Synchronized Stereo Camera Bundle Kit for Jetson Nano/NX:
Jetson Nano board is not included in the package.
NOTE 2:
A single camera module in the bundle kit does NOT work alone with the Jetson Nano. Its connection to the Camarray HAT is required.
NOTE 3:
Our IMX477 camera module support 4-lane in hardware, but the 4-lane camera driver requires extra customization. Here is why:
- Standard Raspberry Pi and Jetson Nano/Xavier NX can’t physically support a 4-lane connection (both of them only have 2-lane CSI connectors). Only the Raspberry Pi Compute Module and some 3rd party Jetson Carrier Boards come with 4-lane hardware support. Therefore, it’s not a general need.
- Extra works, specifically camera drivers, are required for a 4-lane connection other than the 4-lane physical connector. And the drivers are limited by the performances of the platform itself. For example, 4-lane can’t unlock 4k video on Raspberry Pi because the VideoCore does not currently support it. Jetson Nano is also to some extent limited because of the encoding capabilities. You need to make sure you really need it.
NOTE 4:
The Camarray HAT is not sold alone for the following reasons:
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Most of the cameras on the market are not designed for synched stereo uses. We’ve modified our camera modules specifically for the Camarry HAT. Your own V1, V2 or HQ camera modules won’t directly work with it.
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The Camarray HAT requires different firmware for different Image sensors that are not natively working with your embedded systems. Your own OV9281 and OV7251 camera modules won’t directly work with it, and they are not easily interchangeable.
Customization is required if you have extra requirements as the following:
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You need the camera module to run on other Video Modes and Frame Rates.
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You need to trigger the camera with an External Hardware trigger.
NOTE 5:
This kit is released for official Jetson Nano/Xavier NX boards by default, and it does not support other third-party boards.
NOTE 6:
Our main business is to assist customers in acquiring data from binocular cameras. Due to the extensive backend processing involved in depth vision, we regret that we cannot provide comprehensive operational guidance to cover all requirements. If you have relevant needs, you may refer to open-source demos for binocular cameras, such as those offered by NVIDIA.
