Tracking System Optical Ultrasonic Fusion Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Camera-based distance measurement systems face limitations due to field of view constraints and high computational requirements, making them inefficient for long-term use.
Innovation Solution
A tracking system that combines optical and ultrasonic modules with a processor to determine relative positions across larger detection fields, utilizing image and ultrasonic data to enhance detection accuracy and efficiency while reducing computational workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera-based detection is used to measure distances, then detection capability is provided, but field of view is limited and detection accuracy is influenced by distortion
Solution Approach 1:
The patent combines optical detection (camera) and ultrasonic detection (ultrasonic module) into a unified tracking system. The optical module provides accurate detection within its field of view, while the ultrasonic module extends the detection coverage to areas beyond the optical field of view. The processor integrates data from both modules to determine relative positions, thereby merging the advantages of both detection methods to achieve both accuracy and extended coverage.
Solution Approach 2:
The tracking system is designed to perform multiple detection functions using different modules. The optical module handles detection within its field of view with high accuracy, while the ultrasonic module handles detection in areas beyond the optical field of view. This multi-functional approach allows the system to maintain detection capability across a much larger overall detection field, making the system universally applicable to various detection scenarios.
2Measurement precision
If camera-based detection is used to measure distances, then detection capability is provided, but computational power requirements are high
Solution Approach 1:
Instead of relying solely on computationally intensive camera-based detection for the entire detection field, the system uses partial action by deploying ultrasonic detection for areas beyond the optical field of view. Ultrasonic detection requires significantly less computational power while still providing effective detection capability. This partial use of ultrasonic detection reduces the overall computational burden while maintaining comprehensive detection coverage.
3Measurement precision
If optical module alone is used for detection, then detection accuracy is maintained, but detection field coverage is insufficient
Solution Approach 1:
The system transitions from relying solely on optical detection (two-dimensional image-based detection) to incorporating ultrasonic detection (adding a temporal dimension through sound wave propagation). Ultrasonic waves can reach areas that optical detection cannot, effectively extending the detection field into new spatial dimensions. This dimensional expansion allows the system to maintain detection accuracy while covering a much larger detection field.
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
The system achieves improved detection accuracy and efficiency by creating a larger detection field with lower electricity consumption and computational demands, effectively addressing the limitations of camera-based systems.
Implementation Method 1
The ultrasonic module is configured to collect ultrasonic data in a second detection field different from the first detection field
Data Source
AI summary
A tracking system includes a first device and a second device. The second device comprises an optical module, an ultrasonic module and a processor. The optical module is configured to capture image data in a first detection field. The ultrasonic module is configured to collect ultrasonic data in a second detection field different from the first detection field. The processor is configured to determine a relative position of a target device relative to the tracking device in a third detection field according to the image data and the ultrasonic data. The third detection field is larger than the first detection field and larger than the second detection field.