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

From official e-CAM50_CUNANO Website, it’s clearly written from its software tab:

1 2	Supported Jetpack & L4T Version NVIDIA® Jetson NANO™ - JetPack 4.3.1 L4T32.3.1

My board is a Jetson Nano 2GB Developer Kit, on which I’ve already installed Jetpack 4.5.1.

➜  ~ 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

It looks by directly plug in e-CAM50_CUNANO onto Jetson Nano 2GB Developer Kit, there is NO camera detected.

1 2	➜ ~ ls /dev/video* zsh: no matches found: /dev/video*

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

hardware: Jetson Nano 2GB Developer Kit
software: Jetpack 4.5.1

Longer Vision Technology

e-con Systems e-CAM50_CUNANO

1. Relative Material

2. Compatibility