Handheld Scanner Ethernet Power and Data for Markerless 3D Scanning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Handheld line scanners face limitations such as the need for adhesive markers, restricted range due to electrical cables, and excessive noise from speckle, which hinder accurate and efficient measurement of 3D coordinates.
Innovation Solution
A system comprising a handheld unit with a light source, image sensor, and processors, coupled via an Ethernet cable to an accessory device that determines 3D coordinates and provides power, eliminating the need for markers and reducing cable constraints, while using techniques like high-dynamic range imaging and speckle reduction methods to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If adhesive markers are used to register 3D coordinates, then measurement accuracy is improved, but measurement time and operational complexity increase due to the need to attach and remove markers
Solution Approach 1:
The patent removes the markers entirely from the measurement system. Instead of using adhesive markers that need to be attached and removed, the system uses natural features of the object combined with a markerless vision-based tracking system to register 3D coordinates, eliminating the time-consuming marker attachment and removal process while maintaining measurement accuracy
Solution Approach 2:
The system uses the object's own geometric features and the scanner's motion data to automatically register coordinates without requiring external markers. The handheld scanner captures images and uses computer vision algorithms to identify and track features directly on the object, enabling self-registration without additional components
2Use of energy by moving object
If electrical cables are used to power the handheld scanner, then continuous power supply is ensured, but measurement range is restricted by cable length
Solution Approach 1:
The patent divides the power supply system into segments: a rechargeable battery integrated into the handheld scanner for portable operation, and an optional external power source that can be connected via cable when needed. This segmentation allows the scanner to operate independently within battery range while still enabling extended range when connected, effectively resolving the cable length limitation
Solution Approach 2:
The system transitions from a two-dimensional plane of operation (constrained by cable length on a flat surface) to three-dimensional spatial freedom by using wireless battery power. This allows the scanner to move in any direction within the battery's operational range, dramatically expanding the effective measurement volume
3Measurement precision
If high resolution imaging is used to capture fine features, then measurement precision is improved, but data processing time increases
Solution Approach 1:
The patent implements preliminary processing of image data directly in the handheld scanner before data is transferred to the computer. The scanner's onboard processor performs initial feature detection, filtering, and coordinate extraction, preparing the data in advance. This preliminary action reduces the processing burden on the external computer and accelerates overall measurement delivery
Solution Approach 2:
The system replaces traditional mechanical processing methods with optical and computational approaches. High-resolution imaging is combined with advanced image processing algorithms that efficiently extract 3D coordinates from captured images, reducing processing time while maintaining precision through software-based feature recognition rather than manual or mechanical measurement
4Difficulty of detecting and measuring
If laser light is used to illuminate the object, then 3D coordinate detection is enabled, but speckle noise increases reducing measurement accuracy
Solution Approach 1:
The patent employs periodic modulation of the laser light source, alternating between different wavelengths or pulse patterns. By capturing multiple images with different laser configurations and combining them through computational algorithms, the system reduces speckle noise while maintaining the ability to detect 3D coordinates accurately
Solution Approach 2:
The system changes key parameters of the illumination system, including laser wavelength, pulse duration, and intensity modulation. By varying these parameters across multiple measurements and using computational synthesis, the patent reduces speckle contrast and improves measurement accuracy while preserving 3D detection capability
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
Enables faster, more accurate 3D coordinate measurement without markers, increased measurement range, and reduced noise, enhancing the efficiency and precision of handheld line scanning.
Implementation Method 1
an image sensor operable to capture an image of light reflected from the object
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A system includes a handheld unit having a light source, an image sensor, one or more first processors, an Ethernet cable, and a frame. The light source projects light onto an object, and the image sensor captures an image of light reflected from the object. One or more first processors are directly coupled to the frame. An accessory device has one or more second processors that receive data extracted from the captured image over the Ethernet cable and, in response, determine three-dimensional (3D) coordinates of points on the object. The accessory device also send electrical power over the Ethernet cable to the handheld unit.