Seeed Technology's DepthEye Turbo depth camera integrates a 640 x 480 ToF sensor, four 850 nanometer (nm) vertical-cavity surface-emitting laser (VCSEL) diodes, illumination and sensing operating circuitry, power, and USB interface support in a self- contained cube measuring 57 x 57 x 51 mm. Software support is provided through an open-source libPointCloud SDK github repository with support for Linux, Windows, Mac OS, and Android platforms. Along with C++ drivers, libraries and sample code, the libPointCloud SDK distribution includes a Python API for rapid prototyping as well as a visualization tool. After installing the distribution package on their host development platform, developers can connect the camera via USB to their computer and immediately begin using the visualization tool to display phase, amplitude, or point cloud maps, which are essentially enhanced depth maps rendered with texture surfaces to provide a smoother 3D image (Figure 5). Analog Devices' AD-96TOF1-EBZ 3D ToF evaluation kit provides a more open hardware design built with a pair of boards and designed to use Raspberry Pi's Raspberry Pi 3 Model B+ or Raspberry Pi 4 as the host controller and local processing resource (Figure 6).
Figure 5: Used in combination with the Seeed Technology DepthEye Turbo depth camera, the associated software package enables developers to easily visualize 3D ToF data in a variety of renderings including point clouds as shown here in the main window pane. (Image source: Seeed Technology/PointCloud.AI)
Figure 6: The Analog Devices AD-96TOF1-EBZ 3D ToF evaluation kit combines a two-board assembly for illumination and data acquisition with a Raspberry Pi board for local processing. (Image source: Analog Devices)
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