Jetson Nano Development Kit B01

Autonomous Machines Jetson & Embedded Systems Jetson Nano
1

I have connected a IMX219 camera into the GPIO port 0 slot (correctly connected).
However, the board doesn’t recognize the device. I’m using this OS: GitHub - Qengineering/Jetson-Nano-Ubuntu-20-image: Jetson Nano with Ubuntu 20.04 image. Here some log information:
jetson@nano:~$ apt-cache show nvidia-jetpack
Package: nvidia-jetpack
Version: 4.6-b199
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.6-b199), nvidia-opencv (= 4.6-b199), nvidia-cudnn8 (= 4.6-b199), nvidia-tensorrt (= 4.6-b199), nvidia-visionworks (= 4.6-b199), nvidia-container (= 4.6-b199), nvidia-vpi (= 4.6-b199), nvidia-l4t-jetson-multimedia-api (>> 32.6-0), nvidia-l4t-jetson-multimedia-api (<< 32.7-0)
Homepage: Jetson - Embedded AI Computing Platform | NVIDIA Developer
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.6-b199_arm64.deb
Size: 29368
SHA256: 69df11e22e2c8406fe281fe6fc27c7d40a13ed668e508a592a6785d40ea71669
SHA1: 5c678b8762acc54f85b4334f92d9bb084858907a
MD5sum: 1b96cd72f2a434e887f98912061d8cfb
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

Package: nvidia-jetpack
Version: 4.6-b197
Architecture: arm64
Maintainer: NVIDIA Corporation
Installed-Size: 194
Depends: nvidia-cuda (= 4.6-b197), nvidia-opencv (= 4.6-b197), nvidia-cudnn8 (= 4.6-b197), nvidia-tensorrt (= 4.6-b197), nvidia-visionworks (= 4.6-b197), nvidia-container (= 4.6-b197), nvidia-vpi (= 4.6-b197), nvidia-l4t-jetson-multimedia-api (>> 32.6-0), nvidia-l4t-jetson-multimedia-api (<< 32.7-0)
Homepage: Jetson - Embedded AI Computing Platform | NVIDIA Developer
Priority: standard
Section: metapackages
Filename: pool/main/n/nvidia-jetpack/nvidia-jetpack_4.6-b197_arm64.deb
Size: 29356
SHA256: 104cd0c1efefe5865753ec9b0b148a534ffdcc9bae525637c7532b309ed44aa0
SHA1: 8cca8b9ebb21feafbbd20c2984bd9b329a202624
MD5sum: 463d4303429f163b97207827965e8fe0
Description: NVIDIA Jetpack Meta Package
Description-md5: ad1462289bdbc54909ae109d1d32c0a8

jetson@nano:~$ echo $JETSON_TYPE

jetson@nano:~$ echo $JETSON_SOC
tegra210
jetson@nano:~$ echo $JETSON_CHIP_ID

2

Hello,

Thanks for visiting the NVIDIA Developer forums! Your topic will be best served in the Jetson category.

I will move this post over for visibility.

Cheers,
Tom

1 Like
5

Run the jetson-io to configure the imx219.

Thanks

6

I cannot find the location /hardware/nvidia/platform/t19x/galen/, I’m using this OS: GitHub - Qengineering/Jetson-Nano-Ubuntu-20-image: Jetson Nano with Ubuntu 20.04 image. What I’m doing wrong?

7

Don’t clear your question.
I would suggest install the BSP image by sdkmanager.

8

I’ve installed the latest available Jetpack (4.6.1-b110) via sdkmanager (successfully), however, I still get the same log error when searching for imx219 and, still I cannot see the folder /hardware/… in the root

9

Please run the jetson-io to enable imx219 driver.
Suppose the /hardware/… you said is the kernel source you should able get it from download center.

10

I could execute and configure imx219 on sudo /opt/nvidia/jetson-io/jetson-io.py
however, still getting the same error. I’ll check the hardware

11

Check kernel message if any error by “dmesg | grep -i imx219”

12

I got this message:
[ 1.335681] imx219 7-0010: tegracam sensor driver: imx219_v2.0.6
[ 1.359026] imx219 7-0010: imx219_board_setup: error during i2c read probe (-121)
[ 1.359921] imx219 7-0010: board setup failed
[ 1.359995] imx219: probe of 7-0010 failed with error -121
[ 1.382921] imx219 8-0010: tegracam sensor driver: imx219_v2.0.6
[ 1.389821] imx219 8-0010: imx219_board_setup: error during i2c read probe (-121)
[ 1.383029] imx219 8-0010: board setup failed
[ 1.383029] imx219: probe of 8-0010 failed with error -121

13

It could be cable or HW connection problem.
The log tell can’t communicate with sensor by i2c command.

15

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