This CS20 Dual-Resolution 3D TOF Solid-state LiDAR is equipped with a ToF image sensor with a resolution of 640*480 and uses ToF technology to capture three-dimensional information of objects and space. It can accurately measure distances up to 5m while consuming an average of only 1.2W of power. This makes it a convenient and efficient tool for 3D perception applications.

The LiDAR is compact and lightweight and compatible with multiple operating systems, including Linux, Windows, ROS, and Android. It is powered and outputs phase information through a Type C interface. And users can obtain depth, point clouds, and other data via the SDK. It is widely used in various applications such as robot SLAM, volume measurement, face recognition, somatosensory interaction, 3D modeling, security monitoring, and people counting.
Compared to 3D structured-light cameras, ToF depth cameras offer several advantages, such as a small blind spot, linearly related measurement errors that are not affected by distance or scene texture, fast imaging speed, and strong environmental adaptability. Many commercially available ToF depth cameras are currently afflicted by relatively high costs and limited depth resolution, which can lead to less precise depth information capture. But this cost-effective camera sensor not only has excellent 3D imaging capabilities but also achieves millimeter-level measurement accuracy.

How it works - Dual-Resolution 3D ToF Depth Camera Sensor

Figure: How does the Dual-Resolution 3D ToF LiDAR work

Design of Dual-Resolution 3D ToF Depth Camera Sensor

Figure: Design of Dual-Resolution 3D ToF LiDAR

Overview of Dual-Resolution 3D ToF Depth Camera Sensor

Figure: Overview of Dual-Resolution 3D ToF LiDAR

Tested 3D Point Cloud Effect

3D Point Cloud Images for Resolution Comparison

Figure: 3D Point Cloud Images for Resolution Comparison

Figure: Close-up View of 3D Point Cloud Image (640*480)

Figure: 3D Point Cloud Image in Dark Environment (Drawer)

What are the differences between 3D ToF cameras and the previous ordinary cameras (2D)?

3D ToF camera can detect the depth of field distance of space. This means that it can provide accurate data on the distance of each point in the image from the camera. In contrast, an ordinary 2D camera can only capture and record objects within its view but does not include information about their distances from the camera. With a 3D ToF camera, the real scene can be restored through three-dimensional coordinates, and applications such as scene modeling can be realized.

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