Camera Motion Detection via Dual Averaging Filters
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Solution Overview
Problem
Conventional rearview mirrors in vehicles have blind spots and are prone to collisions due to their design, limiting the driver's field of view and increasing the risk of accidents, especially in tight spaces.
Innovation Solution
A camera system with long and short average filters is integrated into vehicles to capture video frames, analyzing brightness levels at target sampling points to detect motion and alert the driver of potential collisions, thereby enhancing the driver's field of view and reducing collision risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional rearview mirrors are used, then the driver can see the rear view, but the driver has blind spots and the mirrors are prone to collision
Solution Approach 1:
The patent replaces the mechanical rearview mirror system with an electronic camera-based detection system. The camera captures images of the rear environment, and image processing algorithms analyze these images to detect vehicles in blind spots and provide collision warnings, eliminating both the blind spot limitation and the collision vulnerability of physical mirrors.
2Loss of information
If conventional rearview mirrors are used, then the structure is simple, but the field of view is limited
Solution Approach 1:
The camera system serves multiple functions: it captures rear view images, detects blind spot vehicles, provides collision warnings, and can potentially provide parking assistance. This multi-functional approach expands the field of view coverage while managing system complexity through integrated processing.
3Measurement precision
If brightness filtering is applied to detect motion, then noise and environmental changes are filtered out, but processing time increases
Solution Approach 1:
The system pre-calculates and stores the average brightness values for different regions of interest in the image. When detecting motion, it compares current frame brightness against these pre-computed averages, significantly reducing processing time while maintaining accurate motion detection and noise filtering capabilities.
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 camera system effectively filters out noise and environmental changes, allowing for the detection of approaching vehicles from various directions, enabling timely alerts and precautionary actions to prevent collisions, thus improving safety by addressing the limitations of traditional rearview mirrors.
Implementation Method 1
The camera may measure the brightness level and/or color at each of the target sampling points in the array
Implementation Method 2
The long average filter circuit may filter the measured brightness level over a first number of frames to produce a long term average value
Implementation Method 3
the short average filter circuit may filter the measured brightness level over a second number of frames that is at least ten or a hundred times less than the first number of frames to produce a short term average value
Implementation Method 4
The camera may also be configured to analyze the sequence in which the array of target sampling points are activated
Data Source
AI summary
A car may be equipped with a camera for detecting the movement of objects in the vicinity of the car. The camera may be used to capture a series of images. A number of target sample points may be defined in each image. The position of the target sample points may corresponding to the driver's blind spot or other region(s) of interest. The camera may also include separate filters for generating a long term pixel intensity output and a short term pixel intensity output at each of the target sample points. These long and short term average outputs may be compared to determine if a large change in intensity has occurred over a short period of time. The order of target activation can then be used to determine the direction of vehicle motion while filtering out noise or other road markings.