Multi-Static Transceiver Imaging for Hazardous Object Detection
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Solution Overview
Problem
Modern security systems using 3D imaging for object detection require significant computing resources and raise concerns about human safety, limiting their performance and efficiency in detecting dangerous objects among multiple people or items.
Innovation Solution
An imaging system employing a multi-static transceiver that emits terahertz waves to generate low-resolution image data, with high-resolution data generated only when specific conditions are met, using deep learning models to detect suspicious objects and generate synthetic image data without harming humans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D imaging system is used to detect dangerous objects with high precision, then detection precision is improved, but computing resources consumption increases and harmfulness to human body increases
Solution Approach 1:
The patent segments the image processing task into two stages: first generating low-resolution image data for the entire scan area, then selectively generating high-resolution image data only for regions of interest where suspicious objects are detected. This segmentation of processing tasks reduces overall computing resource consumption while maintaining detection precision for dangerous objects.
Solution Approach 2:
The patent applies different resolution qualities to different regions of the scanned area. The entire area is processed at low resolution for efficiency, while only specific sub-regions containing potential dangerous objects are processed at high resolution. This local quality differentiation optimizes the balance between detection precision and computing resource consumption.
2Measurement precision
If 3D imaging system is used to detect dangerous objects with high precision, then detection precision is improved, but harmfulness to human body increases
Solution Approach 1:
The patent segments the electromagnetic wave transmission into two parts: low-resolution scanning that transmits less energy overall, and high-resolution scanning that is activated only when suspicious objects are detected in specific regions. This segmentation reduces total energy transmission and thus reduces harmfulness to the human body while maintaining detection precision when needed.
Solution Approach 2:
The patent applies partial action by transmitting electromagnetic waves at low power for initial scanning, and only increasing to high power when necessary to detect suspicious objects. This partial application of high-energy scanning minimizes overall harmfulness while maintaining the capability for high-precision detection when required.
3Productivity
If multi-static transceiver is used to reduce computing resources, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent employs a multi-static transceiver that performs multiple functions: it can operate in both mono-static mode (single transmitter-receiver pair) and multi-static mode (multiple transmitter-receiver pairs), and can dynamically switch between low-resolution and high-resolution scanning modes. This multi-functionality allows the system to optimize between detection efficiency and device complexity based on operational requirements.
Solution Approach 2:
The patent implements dynamic configuration of the transceiver system, allowing it to adaptively switch between different operational modes (mono-static/multi-static, low-resolution/high-resolution) based on detection needs. This dynamic capability enables the system to improve productivity when needed while maintaining acceptable device complexity through software-controlled configuration rather than fixed complex hardware architecture.
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 efficient and precise detection of hidden dangerous objects in real-time with reduced computational resources and no harm to humans, providing equivalent performance to mono-static systems with fewer signal sources and detectors.
Implementation Method 1
emitting electromagnetic waves to an object and receiving scan signals scanning the object
Data Source
AI summary
Disclosed is an image data generating method. Operations of emitting electromagnetic waves to an object and receiving scan signals scanning the object are performed by using a multi-static transceiver. First image data of a low resolution are generated based on the scan signals. when a first condition associated with the first image data is satisfied, second image data of a high resolution associated with a sub-region of the first image data are generated. When a second condition associated with the second image is satisfied, third image data based on the first image data and the second image data are generated.