Camera & Depth Sensors
Isaac for Healthcare leverages Isaac Sim's comprehensive camera sensor simulation capabilities to provide photorealistic RGB and depth sensing for medical robotics applications.
Overview
Camera sensors are fundamental to many healthcare robotics applications, from surgical guidance systems to autonomous navigation in hospital environments. Isaac Sim provides physics-based camera simulation with support for:
- Multiple Camera Models: Pinhole, fisheye, and custom distortion models
- Calibration Support: Direct integration with OpenCV and ROS calibration parameters
- Multi-sensor Rigs: Simulate complex camera arrays and depth sensors like Intel RealSense
- Real-time Performance: GPU-accelerated rendering for synthetic data generation
Key Features for Healthcare Applications
- Surgical Vision Systems: Simulate endoscopes, microscopes, and multi-view surgical cameras
- Depth Sensing: Generate accurate depth maps for robotic navigation and collision avoidance
- Sensor Fusion: Combine RGB, depth, and other modalities for robust perception
- Synthetic Data: Generate training data with perfect ground truth annotations
Learn More
For detailed documentation on camera sensor configuration, calibration, and usage in Isaac Sim: