Multi-line Laser 3D Imaging Using Random Lattice Scanning

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Solution Overview

Problem

Existing three-dimensional imaging systems based on multi-line lasers face challenges such as low scanning efficiency, complex system implementation, insufficient output power, and poor calibration accuracy, leading to noise points and incorrect spatial position information, especially when dealing with complex and disorderly scenarios.

Innovation Solution

A multi-line laser three-dimensional imaging method and system utilizing a random lattice pattern, where a random lattice laser light source projects a pattern on an object, and a high-reflection mirror rotates to pan and scan laser lines, allowing for sub-pixel extraction and area-based matching to accurately locate laser lines and generate point cloud data through triangulation measurement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If multi-line laser is used for three-dimensional imaging, then scanning efficiency is improved, but system complexity increases and calibration accuracy deteriorates

Engineering Contradiction:
Improvescanning efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the imaging process into two independent parts: a stationary random lattice projector and a rotating multi-line laser scanner. This segmentation allows each component to be optimized independently - the lattice projector provides stable reference patterns while the laser module handles rapid scanning, thereby improving scanning efficiency without proportionally increasing overall system complexity

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The random lattice pattern serves as an intermediary reference that mediates between the laser lines and the imaging system. By providing distinctive lattice features that can be easily recognized and matched, it simplifies the calibration process and improves calibration accuracy, counteracting the complexity introduced by multi-line laser scanning

Inventive Principle:
Principle #24Intermediary (Mediator)

2Productivity

If multi-line laser is used for three-dimensional imaging, then scanning efficiency is improved, but measurement precision deteriorates due to incorrect laser line sequence recognition

Engineering Contradiction:
Improvescanning efficiencyVSAvoidspatial position accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system implements feedback through the random lattice pattern recognition process. The lattice features provide continuous reference information that allows the system to verify and correct laser line sequence identification in real-time, ensuring measurement precision is maintained even at high scanning speeds

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent uses the random lattice pattern as a visual reference system with distinctive spatial features that can be easily differentiated. This pattern acts like a visual code that provides unambiguous reference points for determining laser line sequences, preventing recognition errors that would compromise measurement precision

Inventive Principle:
Principle #32Color changes

3Measurement precision

If LED structured light is used for three-dimensional imaging, then imaging accuracy is improved, but brightness and contrast are insufficient for large-view-field imaging

Engineering Contradiction:
Improveimaging accuracyVSAvoidbrightness
Core Design Contradiction:
Measurement precisionVSIllumination intensity

Solution Approach 1:

The patent merges the advantages of LED structured light (accuracy through pattern recognition) with the advantages of laser (brightness and contrast). The random lattice provides the accurate reference pattern while the laser illumination ensures sufficient brightness and contrast for large-view-field imaging, combining both benefits into a single system

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach improves data accuracy, reduces noise points, and enhances scanning efficiency, enabling rapid and precise three-dimensional reconstruction suitable for industrial applications like disorderly feeding and sorting, with improved system adaptability and reduced deployment complexity.

Implementation Method 1

a random lattice laser light source projects a random lattice pattern on an object

Methodology Applied
Scientific EffectLight: Light

Implementation Method 2

laser light emitted from a multi-line laser light source is reflected onto a surface of the object by a high-reflection mirror

Methodology Applied
Scientific EffectReflection: Reflection

Implementation Method 3

image capture is performed on the object to obtain a background image containing a lattice pattern

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Data Source

PatentUS11763473B2Multi-line laser three-dimensional imaging method and system based on random lattice
Publication Date: 2023.09.19 ZHEJIANG HANCHINE AI TECH CO LTD
  • US11763473B2 patent drawing
  • US11763473B2 patent drawing
  • US11763473B2 patent drawing

AI summary

The multi-line laser three-dimensional imaging method and system is based on a random lattice. A multi-line laser is used and combined with a rotating mechanism to realize a large-view-field rapid scanning effect, such that the working efficiency is improved by orders of magnitude, and the deployment difficulty of the system is reduced. Due to the fact that within an imaging range, pattern features of the random lattice of each local area have uniqueness, a plurality of laser lines are extracted, position sequence numbers are distinguished, and noise points are reduced through mutual verification of the pattern features of the random lattice between adjacent images, such that the quality of three-dimensional point cloud data is greatly improved. The method and the system can be applied to industrial applications, such as disorderly grabbing, feeding and discharging, unstacking and stacking, logistics sorting and the like.