Knowledge Center - ToF, 2D Camera, and Vision System Technology
Recommended Starting Paths
ToF Entry
Best for readers starting with 3D depth sensing, calibration, and selection logic.
2D Camera Entry
Best for readers entering 2D camera, RGB imaging, and interface-selection topics.
Enter via Applications
Best for readers who prefer to begin from real use cases and solution context.
Knowledge Categories
Fundamentals
- What is TOF
- TOF Camera Components
- Depth Sensing Principle
- iTOF vs dTOF
- TOF Noise Analysis
- Multi-Path Interference
- TOF Calibration
Core principles of TOF technology, depth sensing mechanisms, and calibration basics.
2D Camera Basics
- What is RGB Camera
- Rolling vs Global Shutter
- Camera FOV and Distortion
- USB vs MIPI Camera Interface
- Image Sensor Selection
2D camera, image sensor, lens, and interface knowledge will gradually be expanded here.
Technologies
- TOF Tech & Algorithms
- Depth Algorithm
- Signal Processing
- Denoising Methods
- Lens Distortion
- MPI Mitigation
Advanced algorithms, signal processing, noise reduction, and distortion correction techniques.
Applications
Real-world use cases in robotics, smart homes, healthcare & assisted living, and industrial automation.
Solutions
End-to-end implementations for obstacle avoidance, gesture recognition, and people counting.
Comparisons
Detailed analysis comparing TOF with Stereo, Structured Light, and LiDAR technologies.
Insights
Market trends, future outlooks, and industry growth drivers for 3D vision.
中文
English
苏公网安备32059002004738号