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e-con Systems e-CAM50_CUNANO

I kept an eye on e-con Systems for over 3 years. Finally, I decided to try its products this year (2020). Today, we are going to test its newly product e-CAM50_CUNANO on NVidia Jetson Nano, actually, a NVidia Jetson Nano 2G. Please find all documentations from e-CAM50_CUNANO’s website. Here, we’ll follow e-con_e-CAM50_CUNANO_Developer_Guide.pdf.

Such a busy year, unbelievably busy. I can’t believe when I started the investigation of e-CAM50_CUNANO again, it’s already been a year after. Okay, let’s start.

1. Relative Material

2. Compatibility

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Supported Jetpack & L4T Version
NVIDIA® Jetson NANO™ - JetPack 4.3.1 L4T32.3.1
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➜  ~ jetson_release -v
- NVIDIA Jetson Nano (Developer Kit Version)
* Jetpack 4.5.1 [L4T 32.5.1]
* NV Power Mode: MAXN - Type: 0
* jetson_stats.service: active
- Board info:
* Type: Nano (Developer Kit Version)
* SOC Family: tegra210 - ID:33
* Module: P3448-0003 - Board: P3542-000
* Code Name: batuu
* Boardids: 3448
* CUDA GPU architecture (ARCH_BIN): 5.3
* Serial Number: 1423720056255
- Libraries:
* CUDA: 10.2.89
* cuDNN: 8.0.0.180
* TensorRT: 7.1.3.0
* Visionworks: 1.6.0.501
* OpenCV: 4.1.1 compiled CUDA: NO
* VPI: ii libnvvpi1 1.0.15 arm64 NVIDIA Vision Programming Interface library
* Vulkan: 1.2.70
- jetson-stats:
* Version 3.1.0
* Works on Python 3.6.9
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➜  ~ ls /dev/video*
zsh: no matches found: /dev/video*

Therefore, it looks we need to build a driver of AR0521 for my board: