Built-in Camera Impact Detection Threshold Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Built-in cam systems in vehicles face challenges in optimizing impact detection performance, leading to either excessive storage of unnecessary data or failure to capture essential impact images due to sensitivity issues.
Innovation Solution
An apparatus and method that utilize a processor to select control factors and levels based on the ratio between effective and ineffective impacts, and standard deviation of impact detection values, optimizing signal processing with noise filters, impact amount integration, sampling period, and previous impact reference periods to enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If impact detection sensitivity is increased, then necessary impact image data is captured, but too much unnecessary image data is stored resulting in insufficient memory capacity
Solution Approach 1:
The patent applies parameter changes by adjusting the threshold value for impact detection based on multiple factors including G-sensor data, vehicle state, and environmental conditions. By dynamically changing the detection threshold parameter, the system achieves optimal balance between detecting necessary impacts and avoiding unnecessary data storage, thereby resolving the contradiction between detection sensitivity and memory capacity utilization.
2Quantity of substance
If impact detection sensitivity is decreased, then memory capacity is preserved, but necessary impact image data is not stored
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring G-sensor data, vehicle state, and detection results to dynamically adjust the impact detection threshold. This closed-loop feedback system ensures that the detection sensitivity is optimized in real-time, preventing both missed detections and false positives, thereby maintaining high reliability while efficiently managing memory capacity.
3Measurement precision
If multiple control factors are optimized for impact detection, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the impact detection system into distinct functional modules: G-sensor data acquisition, vehicle state monitoring, threshold calculation, and detection decision-making. Each module handles specific control factors independently, which simplifies the overall system architecture while maintaining high detection accuracy through coordinated operation of these segmented components.
Data Source
AI summary
The present disclosure relates to apparatus for improving a detection performance of a built-in cam and a method for improving a detection performance thereof. An exemplary embodiment of the present disclosure provides apparatus for improving a detection performance of a built-in cam including: a processor configured to select a control factor for determining impacts and a level of the control factor by using a ratio between effective impacts and ineffective impacts and a standard deviation of impact detection values for same impacts, wherein the ratio and the standard deviation are calculated by using data obtained from a sensor for vehicle impact detection; and a storage configured to store data and algorithms driven by the processor.