Overview
The Yahboom Nuwa-HP60C depth camera is a high-performance 3D vision device designed for robots, AR/VR, and related development applications. It uses monocular structured light ranging and provides a 0.2–4 m working distance (recommended within 2 m), a 73.8° wide depth FOV, and a 0.2 m smaller blind area for close-range measurement. It supports ROS1 and ROS2 and is intended to help developers integrate depth/RGB data into intelligent systems and robot end effectors.
Key Features
- Wide depth coverage: 0.2–4 m depth range with 0.2 m blind area.
- Large field of view: Depth image FOV H73.8° × V58.8° × D86.4°.
- Structured light stability: Designed to remain stable across different lighting environments.
- ROS development support: Compatible with ROS1 and ROS2; ROS & AI vision development tutorials are provided.
- USB Type-C interface: USB 2.0 Type-C connection and USB power supply.
- Metal enclosure: Full metal case design.
- Multi-platform support: Windows / Linux / Android supported.
- Optional bracket: Angle adjustable bracket optional, 120° adjustable angle (Up30°, Down90°).
- 3D model file: A simple 3D model file is provided.
Specifications
| Camera model | Nuwa-HP60C |
| Ranging principle | Monocular structured light |
| Product size | 90.0 × 19.0 × 25.0 mm |
| Additional size reference | 89.8 × 25 × 19 mm |
| Weight | 56.2 g |
| Power consumption | < 2 w |
| Interface | USB 2.0 Type-C |
| Power supply method | USB |
| VBUS | 4.75–5.25 V |
| Working distance | 0.2–4 m (recommended within 2 m) |
| Working temperature | -10–50°C |
| Storage temperature | -30–80°C |
| Deep engine | Onboard deep computing chip |
| Plane accuracy | < 2 mm @ 1000 mm |
| Filling rate | > 99.5% @ 1000 mm (81% area in the middle) |
| Depth image resolution / frame rate | 640 × 480 @ 20 fps |
| Depth image FOV | H73.8° × V58.8° × D86.4° |
| Depth image transmission format | RAW16 |
| RGB image resolution / frame rate | 1920 × 1080 @ 20 fps (MAX); recommended: 640 × 360 @ 20 fps, 640 × 480 @ 20 fps |
| RGB image FOV | H80.9° × V51.7° × D88.9° |
| RGB image transmission format | RGB888 |
| Aligned depth map FOV (RGB 640 × 360) | H73.8° × V51.7° |
| Aligned depth map FOV (RGB 640 × 480) | H64.4° × V51.7° |
| ESD EMI/EMC | ±8 kV (contact discharge) ±15 kV, with 3C certification performance standards |
| Laser safety | Class 1 |
| Development platform | Windows: Support; Android: Support; Linux: Support |
| Usage environment | Indoor |
Applications
- Robot end-effector positioning and close-range measurement
- Object tracking and posture estimation
- 3D environment reconstruction and 3D modeling
- Indoor 3D visual mapping, navigation, and surveying
- AR/VR vision development
Tutorial Video
For pre-sales questions, integration advice, or after-sales support, contact support@rcdrone.top or visit https://rcdrone.top/.
Details

Bring structured-light depth sensing into ROS projects with a compact camera built for indoor robot vision and AR/VR development.

Compatible with common robotics platforms and backed by development resources for faster prototyping and integration.

Monocular structured-light ranging combines an IR camera, dot projector, and onboard processing to compute depth from scene geometry.

A full metal case and USB Type‑C connection make it easy to mount and power in compact robotic builds.

Wide depth coverage helps capture more of the scene for tracking, mapping, and reconstruction tasks.

Close-range measurement starts at about 0.2 m, supporting near-field perception for end-effector and indoor applications.

Depth sensing up to 4 m supports indoor 3D mapping, navigation, and surveying workflows.

ROS1 and ROS2 SDK support helps streamline depth/RGB data access in existing robotics software stacks.

SDK tools provide depth and color streams, plus options for switching interface language for development teams.

An optional adjustable bracket offers flexible camera angles for mobile robots and fixed installations.

Reference drawings and a specification table support mechanical design and integration planning.

Step-by-step course content helps teams move from setup to practical depth-vision applications.

Documentation and tutorial packs are organized for quick access across general setup, ROS1, and ROS2 learning paths.

ROS1 examples cover common perception tasks, from OpenCV pipelines to MediaPipe-based features.

ROS2 sample projects include depth camera basics, tracking, and SLAM-focused learning modules.

ROS2 basic lessons include both written modules and video tutorials to speed up onboarding.

Real-world demos highlight depth mapping, tracking, SLAM testing, and interactive vision use cases.

Designed to fit into everything from SBC prototypes to industrial PCs, including Raspberry Pi and Jetson ecosystems.

The Nuwa-HP60C structured light depth camera features a compact metal body with a finned top and multiple front-facing optical sensors.

Millimeter dimensions for the angle-adjustable bracket and fixed base help plan mounting hole spacing and overall fit.

The Nuwa-HP60C depth camera package includes the camera module and cable, with an optional angle-adjustable mounting bracket and hardware.
