CS30 RGB-D ToF Depth Camera

Introduction

This is an RGBD depth intelligent camera integrating ToF depth perception and HD RGB imaging, specifically designed for real-time 3D scene capture. It features a ToF image sensor with 640×480 resolution and a color image sensor with 1920×1080 resolution. Utilizing ToF technology, it acquires three-dimensional information of objects and spaces. Its core advantages lie in long-range, high-precision, low-power characteristics, and multi-modal data fusion capabilities, providing users with convenient and efficient 3D perception. The compact body is suitable for embedded deployment and includes AI recognition examples, enabling real-time parsing of target object attributes in complex scenes.
Compatible with mainstream operating systems such as Windows/Linux (Ubuntu)/ROS. It outputs depth images and 2D color image information simultaneously via a Type-C interface to a host computer. Supports fusion of 3D point clouds and 2D color images. Additionally, it provides an SDK and examples for rapid secondary development. Widely applicable in scenarios such as robotic SLAM, volume measurement, motion-sensing interaction, 3D modeling, security/personnel counting, etc.

Dimensions

System Diagram

Features

  • Millimeter measurement accuracy
  • Measurement range: 0.1~5m @ 90% reflectivity
  • Supports RGBD fusion
  • Supports switching depth/color image resolutions

Application

  • Robot obstacle avoidance
  • Industrial vision
  • Volume measurement
  • Liveness detection
  • Somatosensory interaction
  • 3D modeling

Specifications

  • Depth Image
    • Resolution: 640×480 / 320×240
    • FOV: H100°×V75°
  • Color Image
    • Resolution: 1920×1080 / 640×480
    • FOV: H97°×V95.5°
  • RGB Fusion
    • Resolution: 1920×1080
    • FOV: H91.5°×V59°
  • Working Distance: 0.1~5m (indoor)
  • VCSEL Wavelength: 940nm
  • Accuracy:
    • 0.1~0.5m: ±2.5cm
    • 0.5~5m: ±1% @ 90% reflectivity
  • Power Supply: 5V/0.6A
  • Power Consumption: 3W
  • OS Support: Windows 10/11, Ubuntu, ROS
  • Safety: CLASS1
  • Operating Temperature: -10~50℃
  • Dimensions: 90×25×25mm

SDK Tutorial

Download SDK

!!! When using the Linux SDK, do not unzip it on Windows, as this may corrupt dependency libraries.
!!! For Windows usage, install the driver: Driver Download

Linux Tutorial

Use armv8 SDK for 64-bit systems, armv7 SDK for 32-bit systems.

Server Systems:
Unzip the SDK, navigate to the bin directory:

cd */bin
sudo ./run.sh

If "Get Depth Success FPS:xx" is displayed, the operation is successful.

Desktop Systems

Unzip the SDK and enter the bin directory:

cd */bin

Modify run.sh:

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:../../lib:../thirdpart/opencv440/lib
./SDKTest

bash

sudo ./run.sh

For detailed tutorials, refer to: SDK Development Guide SDK Development Guide

FAQ

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