A workflow-oriented guide for reviewing depth images and point cloud output during prototyping.
Why this topic matters
Visualizing dToF Depth Data for Early Product Testing is part of the Point Cloud Processing knowledge base for drone, robotics and embedded 3D perception teams. The goal is to help engineers connect sensor specifications with real integration decisions instead of treating LiDAR as a generic hardware component.
What to evaluate first
- Ranging requirement in indoor, outdoor and high-ambient-light environments.
- Field of view, resolution and frame rate needed by the perception workflow.
- Weight, power consumption and interface compatibility with the target platform.
- Depth map, point cloud and SDK requirements for early validation.
How the MRP-LD1 module fits
Purpleriver MRP-LD1 is a compact solid-state dToF LiDAR module based on SPAD technology. It supports 40×30 depth output, 60°×45° FOV, 10fps frame rate, UART/UVC/UDP interfaces, 8g weight and 1.2W power consumption. These characteristics make it suitable for UAV obstacle avoidance, robot navigation, industrial inspection and embedded sensing evaluation.
Recommended next step
Review the MRP-LD1 product specifications, compare sample data from the LiDAR dataset resources, or contact the product team with your platform and application requirements.
