Scanner Contour Detection via Multi-Scan Light Path Analysis
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Solution Overview
Problem
Existing scanner systems require manual entry of contour areas for stationary objects, which is prone to manipulation and position changes, lacking an automated method for contour detection and ensuring scanner integrity in dynamic environments.
Innovation Solution
The method involves performing multiple scanning operations with light beams emitted in different directions, determining the maximum and minimum free light paths, and classifying directions based on a predetermined limit value to identify fixed contours, ensuring undisturbed light paths and detecting changes in the scanner's environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual entry of contour areas is used, then the system can detect stationary objects, but the system is prone to manipulation and position changes
Solution Approach 1:
The scanner system automatically detects and stores contour data of stationary objects through multiple scanning operations, eliminating the need for manual contour entry. The system self-configures by comparing scanned data across different positions and automatically identifying stable contours, thereby preventing manipulation while reducing operational complexity.
Solution Approach 2:
The system performs multiple preliminary scanning operations to establish baseline contour data before actual monitoring begins. These preliminary scans create a reference framework that enables automatic detection of position changes, ensuring reliability before the system enters normal operation mode.
2Measurement precision
If multiple scanning operations are performed, then automatic contour detection accuracy improves, but the time required for configuration increases
Solution Approach 1:
The system performs a predetermined number M of scanning operations, which is sufficient to achieve reliable contour detection without excessive time consumption. This optimized number balances accuracy requirements with time efficiency, avoiding both insufficient scanning and unnecessary delays.
Solution Approach 2:
The system replaces manual contour measurement and entry processes with automated optical scanning and computational analysis. By using light-based scanning and algorithmic contour identification, the system achieves high precision automatically without requiring time-consuming manual operations.
3Adaptability or versatility
If the scanner position is fixed, then contour stability is maintained, but the system cannot adapt to mobile applications
Solution Approach 1:
The system dynamically adapts to both fixed and mobile applications by performing multiple scans from different positions and identifying contours that remain stable relative to the scanner. The system automatically adjusts to the operational mode, maintaining reliability whether the scanner is stationary or moving with a vehicle.
Solution Approach 2:
The scanner system is designed to function universally in both stationary and mobile applications. The same multiple-scan contour detection methodology works whether the scanner is fixed in one location or mounted on a moving vehicle, providing consistent reliability across different operational contexts.
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 enables automatic contour detection, ensuring the scanner's correct position and functionality, preventing unauthorized manipulation and ensuring reliable operation in both stationary and mobile applications.
Implementation Method 1
light beams are sent into a detection area at different angles and the reflected light is detected
Implementation Method 2
the travel time of a light pulse can be used to determine the distance of a reflecting object in the detection area
Data Source
Figure 1~2
Figure 3
AI summary
The method comprises performing M scanning processes (M greater than 1) for respective scanning of a detection area with a scanner (12), where a scanning process, measuring the lengths of free light paths d for each direction R in each of the scanning processes, determining the free light path D m a xmaximally measured in the M scanning processes and the free light path D m i nminimally measured in the M scanning processes for each of the N directions, and classifying a direction R jin a contour class. The method comprises performing M scanning processes (M greater than 1) for respective scanning of a detection area with a scanner (12), where a scanning process, measuring the lengths of free light paths d for each direction R in each of the scanning processes, determining the free light path D m a xmaximally measured in the M scanning processes and the free light path D m i nminimally measured in the M scanning processes for each of the N directions, and classifying a direction R jin a contour class when the maximally measured free light path and the minimally measured free light path differ at a predetermined limit value T, where a classification step remarkably means a classification of the associated light radiations than at a contour (14), which is fixed with respect to the scanner. The scanning process comprises the emission of N light radiations L iwhere i is different directions of circular detection area, and the detection of lights reflected in the detection area, where the direction R of the light radiations is equal for each of the M scanning process and the environment of the scanner is not equal to all M scanning processes.