NVIDIA Jetson Orin Nano/Camera Sensors Support/IMX708
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This wiki provides information about the IMX708 camera sensor driver developed by RidgeRun. The information provided was tested on:
* JetPack: 5.1.1 * Jetson Linux: 35.3.1 * One IMX708 Rapsberry Pi Camera Module V3
The Raspberry Pi Camera V3 camera module (IMX708) is compatible with the Jetson Orin Nano developer kit from NVIDIA. RidgeRun developed a driver to fulfill the needs of the market, The driver has the next characteristics:
Element | Description |
---|---|
Image sensor | IMX708 |
Optical Size | 1/2.43(7.4mm sensor diagonal) |
Number of effective pixels | Height = 4608, Width = 2592 |
Pixel Size | 1.4μm × 1.4μm |
Interface | MIPI CSI-2 Interface |
Shutter Type | Rolling Shutter |
Color Filter | Color |
Common Video Mode | 1080p50*, 720p100*, 480p120* |
Output Format | RAW10 |
Binning Support | Yes* |
HDR Support | Yes* |
Auto-Focus (PDAF) | Yes* |
Minimun Focus Distance | 5 cm |
Controls | Exposure, gain, HDR, etc * |
Compatible hardware | Raspberry Pi, Orin Nano** |
*These values come from common sensor documentation, but they are not currently supported by Ridgerun IMX708 Orin Nano driver. Contact us to start working with you in your driver specifications needs.
**The compatibility is restricted to 4608x2592@14.35 fps. To have access to more resolution modes or controls, contact us.
RidgeRun has been working intensively to port the IMX708 image sensor to the Jetson Orin Nano, as fast as possible due to the market needs. Right now, we are offering to the embedded software developer community a functional driver. The driver has the specification detailed below.
Element | Description |
---|---|
Video output | 4608x2592@14.35fps |
Output Format | RAW10 |
Binning Support | Yes* |
HDR Support | Yes* |
Auto-Focus (PDAF) | Yes* |
Controls | Exposure, gain, HDR, etc * |
Number of cameras streaming at the same time | 1** |
*Contact us to develop this features according to your needs
**Contact us to work with you and extend the functionality to more attached cameras.
Example Video
You can use V4L2 or GStreamer to capture using the camera module. Use different GSTreamer elements open different possibilities for your project. The video attached below was obtained using the next pipeline:
nvidia@ubuntu:~$ GST_DEBUG="GST_TRACER:7" GST_TRACERS="framerate" gst-launch-1.0 nvarguscamerasrc sensor_id=1 -e ! 'video/x-raw(memory:NVMM),width=4608,height=2592,framerate=14/1, format=NV12' ! nvvidconv ! x264enc tune=zerolatency insert-vui=true pass=quant quantizer=32 speed-preset=ultrafast bitrate=5000 ! mpegtsmux ! filesink location=output_office_cam1.mp4