Multi-Filter Warning Imaging for Accurate Object Movement Detection
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Solution Overview
Problem
Existing warning devices struggle to accurately detect objects in varying environmental conditions, such as changing brightness, leading to reduced image quality and decreased accuracy in issuing timely warnings, especially when it is difficult to determine the outside environment of a vehicle.
Innovation Solution
A warning device that acquires and compares images taken using multiple filter characteristics, selecting images with high detection accuracy for each time period to determine the degree of object movement and issue appropriate warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single filter is used for image acquisition, then the device complexity is reduced, but the detection accuracy decreases under varying environmental conditions
Solution Approach 1:
The patent divides the image acquisition system into multiple segments, each with a different filter characteristic (first filter for daytime/visible light, second filter for nighttime/infrared light). This segmentation allows the system to capture images optimized for different environmental conditions, thereby maintaining high detection accuracy across varying brightness levels without requiring a single complex adaptive filter.
Solution Approach 2:
The patent implements multi-functionality by equipping the image acquisition device with multiple filters that can handle different lighting conditions (daytime and nighttime). This universal approach enables the system to adapt to various environmental conditions without requiring complex real-time adaptation mechanisms, thus maintaining detection accuracy while managing device complexity.
2Reliability
If images are acquired without considering environmental conditions, then the imaging process is simplified, but the image quality deteriorates in challenging conditions
Solution Approach 1:
The patent applies preliminary action by acquiring a plurality of images with different filter characteristics before making a detection decision. This preliminary multi-filter imaging allows the system to have reliable detection results ready in advance, regardless of the actual environmental conditions, thereby ensuring warning issuance reliability without requiring complex real-time environmental assessment.
Solution Approach 2:
The patent uses feedback by comparing detection results from multiple images acquired with different filters. The system evaluates the detection results and selects the most reliable one, creating a feedback loop that ensures accurate object detection and appropriate warning issuance under varying environmental conditions while maintaining manageable system complexity.
3Measurement precision
If multiple images with different filter characteristics are acquired and compared, then the detection accuracy is improved, but the processing time increases
Solution Approach 1:
The patent applies partial action by acquiring a limited number of images (first and second images with different filters) rather than continuously acquiring multiple images. This partial approach provides sufficient detection accuracy for different environmental conditions while minimizing the processing time required, avoiding excessive image acquisition and analysis.
4Measurement precision
If the system adapts to varying environmental conditions, then the detection accuracy is maintained, but the control complexity increases
Solution Approach 1:
The patent uses parameter changes by switching between different filter characteristics (first filter for daytime, second filter for nighttime) based on environmental conditions. This parameter-based adaptation allows the system to maintain detection accuracy under varying conditions without requiring complex control algorithms, as the adaptation is achieved through simple filter selection based on predefined characteristics.
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
Enhances the probability of detecting objects and issuing warnings in challenging environmental conditions, improving safety by using images with higher detection accuracy, even in situations where it is difficult to determine the outside environment.
Implementation Method 1
An imaging device such as a digital camera generally takes an image of an area to be imaged by using a filter that transmits light with a specific wavelength
Data Source
AI summary
A warning device according to the present invention includes an image acquisition unit configured to acquire an image group including a plurality of images taken in succession, a detection unit configured to perform detection of an object on each of images in the image group, a determination unit configured to compare detection results of the object in the image group in chronological order and determine a degree of movement of the object, and a warning unit configured to issue a warning in accordance with the determined degree of movement, whereinthe image acquisition unit acquires a plurality of image groups respectively based on a plurality of filter characteristics and the determination unit compares corresponding images between the plurality of image groups and thereby selects an image with high detection accuracy for each time period, compares the selected images in chronological order, and determines the degree of movement of the object.