Electromagnetic Reflection Signal Splitting for Low-Load Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing object detection techniques based on electromagnetic waves face challenges in reducing data signal amounts while maintaining estimation accuracy, leading to reduced image sharpness and difficulties in manual labeling operations.
Innovation Solution
A processing apparatus and method that generates label determination and learning images using partial signals of reflection waves, associates these with labels, and stores training data to improve estimation accuracy and reduce processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the amount of electromagnetic wave signal data is reduced to lower processing load and costs, then processing load and cost burden are reduced, but image sharpness deteriorates to a level where manual labeling becomes difficult
Solution Approach 1:
The patent segments the signal data into two distinct types: training data signals (first signals) used for generating estimation models, and label determination signals (second signals) used for generating images for manual labeling. This segmentation allows each data type to be optimized independently - the training data can be reduced in amount to lower processing load, while the label determination signals maintain sufficient sharpness for manual labeling operations.
Solution Approach 2:
The patent extracts and separates the signal data into different purposes. The first signals are extracted for model training where data量 can be reduced, while the second signals are extracted specifically for image generation where sufficient sharpness is needed. This extraction allows the system to reduce overall data processing burden while preserving image quality where needed.
2Device complexity
If the number of transmission/reception antennas is reduced to miniaturize sensor devices and reduce cost, then device size and cost are reduced, but estimation accuracy may deteriorate
Solution Approach 1:
The patent segments the antenna system into transmission antennas and reception antennas, and further segments the signal processing into training data generation and label determination image generation. This segmentation allows the system to use fewer antennas while maintaining accuracy through optimized signal processing and separate data utilization paths.
Solution Approach 2:
The patent changes the parameter of signal data amount by reducing it for training purposes while maintaining separate high-quality signals for label determination. This parameter change allows the system to operate with fewer antennas and lower processing requirements while preserving estimation accuracy through the separated data paths.
3Speed
If the number of transmission antennas is reduced to shorten irradiation time and suppress motion blur, then time resolution is improved, but image quality deteriorates
Solution Approach 1:
The patent segments the signal processing into two independent paths: one for training data generation that can use reduced data量 for faster processing, and another for label determination image generation that maintains sufficient quality. This segmentation allows the system to achieve faster irradiation times while preserving image quality for manual labeling.
Solution Approach 2:
The patent applies partial action by using only necessary signal data for training purposes rather than processing all available data. This partial processing approach reduces irradiation time and processing burden while maintaining sufficient image quality for label determination through the separate second signal path.
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 solution enables accurate object detection with reduced data usage, minimizing processing load and costs, while allowing for effective labeling operations.
Implementation Method 1
irradiating an electromagnetic wave from a transmission antenna, and receiving a reflection wave by a reception antenna
Data Source
AI summary
The present invention provides a processing apparatus (10) including an electromagnetic wave transmission/reception unit (11) that irradiates an electromagnetic wave from a transmission antenna, and receives a reflection wave by a reception antenna; a label determination image generation unit (12) that generates a label determination image, based on a signal of the received reflection wave; a learning image generation unit (13) that generates a learning image, based on a signal being a part of a signal of the receive reflection wave, and less than a signal to be used in generation of the label determination image; a label determination unit (14) that determines a label, based on the label determination image; and a training data generation unit (15) that generates training data in which the learning image and the label are associated, and causing a training data storage unit (16) to store the generated training data.