Four Common Types Of 3D Vision
As 3D vision technology continues to evolve, various solutions have emerged to meet different industrial and commercial needs. This article HIFLY explores four prevalent 3D imaging technologies, analyzing their working principles, advantages, limitations, and typical application scenarios.
1. Binocular vision camera
Operating similarly to human binocular vision, stereo vision systems employ two angled cameras to capture images from slightly different perspectives. By calculating pixel displacement (disparity) between the two images, the system can estimate depth information and reconstruct 3D models.
Advantages:
Low-cost hardware configuration
Simple system architecture
Easy implementation and operation
Limitations:
Limited precision (typically millimeter-level)
Insufficient for high-precision industrial applications
Applications: Basic object recognition, autonomous vehicle navigation, and consumer-grade depth sensing.
2. Laser Line Profiler
This system combines a laser line projector with a camera positioned at a fixed angle. As the laser stripe scans across a moving object, the camera captures deformations in the projected line to generate 3D point clouds.
Advantages:
Exceptional Z-axis precision (sub-micron level)
XY-axis accuracy within tens of microns
Ideal for flatness/high-precision height measurement
Limitations:
Requires coordinated mechanical motion
Performance degrades with reflective surfaces
Industrial Dominance: Currently the most widely adopted 3D vision solution in manufacturing for quality inspection and dimensional verification.
3. Structured Light 3D Camera
This technology projects encoded light patterns (grids or speckles) onto targets. One or more cameras then analyze the distorted patterns caused by object surfaces to compute 3D coordinates.
Advantages:
Non-contact measurement
Motionless scanning capability
Micro-level precision in small fields of view
Effective in large-scale applications
Limitations:
Higher equipment costs
Sensitive to ambient light interference
Prime Application: 3D random grabbing
4. Time-of-Flight (ToF) Laser Scanner
ToF systems measure the round-trip time of infrared laser pulses to calculate distances. This direct time-of-flight measurement enables real-time 3D mapping.
Advantages:
Excellent real-time performance
Full-field depth acquisition
Compact system size
Limitations:
Limited measurement precision
Susceptible to multi-path interference
Commercial Prevalence: Widely used in consumer electronics (VR/AR), security systems, and medical imaging. Industrial applications primarily limited to AGV obstacle avoidance and basic navigation.
Technology Comparison and Selection Guide
Each technology excels in specific scenarios:
Cost-sensitive applications: Stereo vision
Ultra-high precision requirements: Laser line profiling
Complex surface scanning: Structured light
Real-time dynamic sensing: ToF systems