Image Sensor Tracking Region Selection for Environmental Light Noise
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Solution Overview
Problem
Image sensors face challenges in accurately identifying object coordinates due to interference from high-intensity environmental light, which can produce bright images that are misinterpreted as object images, leading to incorrect or undetermined coordinate data.
Innovation Solution
An electronic system comprising an image-sensing device and a processor that selects a tracking region outside noisy areas by determining the edges of noisy regions and choosing the region with the maximum area, allowing for accurate object tracking and coordinate data determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the image sensor captures images in high-intensity environmental light, then the image sensor can receive reflected light from objects, but environmental light produces bright images that are misinterpreted as object images, leading to incorrect or undetermined coordinate data
Solution Approach 1:
The patent segments the image into multiple regions by first identifying noisy regions (caused by environmental light interference) and then selecting tracking regions from the remaining areas. This segmentation allows the system to distinguish between valid object images and spurious environmental light artifacts, thereby maintaining coordinate data accuracy even in high-intensity lighting conditions.
Solution Approach 2:
The patent extracts and removes noisy regions from the image data by determining the edges of noisy regions and selecting tracking regions from the portion of the picture outside these noisy regions. This extraction process eliminates the harmful influence of environmental light interference while preserving valid object information for accurate tracking.
2Productivity
If the image sensor uses correlation analysis to track object movement, then the system can calculate coordinates of bright images, but environmental light creates false bright images that overlap with object images, causing incorrect tracking
Solution Approach 1:
The patent segments the image analysis process into two stages: first identifying noisy regions through edge detection, then selecting tracking regions from the remaining areas. This segmentation ensures that correlation analysis is performed only on valid regions, maintaining both tracking speed and accuracy by preventing false matches with environmental light artifacts.
Solution Approach 2:
The patent performs preliminary action by determining the edges of noisy regions and selecting tracking regions before conducting the correlation analysis for object tracking. This preliminary processing ensures that only clean, valid regions are used for tracking, preventing environmental light from creating false tracks while maintaining efficient processing speed.
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 system effectively distinguishes object images from environmental noise, ensuring accurate tracking and coordinate data determination, even in the presence of high-intensity environmental light, by using a processor to identify and isolate the tracking region with the maximum area outside noisy regions.
Implementation Method 1
An image sensor usually comprises a plurality of sensing elements, which may convert light into voltages
Data Source
AI summary
An electronic system incorporates an image-sensing device and a processor coupled with the image-sensing device. The image-sensing device includes an image-sensing area configured to generate a picture. The picture includes a noisy region. The processor is configured to select a tracking region from the portion of the picture outside of the noisy region. The tracking region corresponds to an operative region of the image sensing area.