Image Sensor Detection System Background Noise Isolation
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Solution Overview
Problem
Image sensors face interference from environmental light and background objects, which complicates the accurate determination of object images, as these sources can produce high-intensity images that obscure the object of interest.
Innovation Solution
The system employs an image sensor, a light source, and a processor to capture and process images under different illumination conditions, using techniques such as subtracting images taken with and without the light source to isolate the object image, and utilizes a background model to remove interference, along with distance-measuring devices and lens devices to distinguish foreground from background.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the image sensor receives environmental light during image capture, then the background of the picture has high intensity, but this interferes with the determination of the object image
Solution Approach 1:
The patent segments the image data by separating the object image from the background through multiple processing steps: capturing images under different illumination conditions, subtracting background components, and isolating the object signal. This segmentation allows the system to handle high background intensity while maintaining object detection accuracy.
Solution Approach 2:
The patent employs periodic illumination by capturing images at different times when the light source is turned on and off. This periodic action creates distinct image sets that can be processed separately to remove environmental light interference and isolate the object image.
2Quantity of substance
If the picture includes the image of a reflective background object, then the background object image may interfere with the determination of object images
Solution Approach 1:
The patent performs preliminary background modeling and subtraction before final object detection. By capturing images under different illumination conditions and subtracting the background component in advance, the system removes reflective background objects from the analysis, preventing them from interfering with object image determination.
3Measurement precision
If multiple pictures are taken under different illumination conditions, then environmental light noise can be removed, but the complexity of the detection system increases
Solution Approach 1:
The patent uses periodic illumination cycles to capture images under different conditions, which simplifies the processing by creating predictable, structured data sets. The periodic nature allows for systematic subtraction and comparison operations that are computationally efficient despite multiple image captures.
Solution Approach 2:
The patent creates multiple copies of the scene under different illumination conditions and processes these copies to extract the object image. By working with copied image data rather than attempting to directly process the complex original scene, the system reduces processing complexity while maintaining accuracy.
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
This approach effectively removes environmental light noise and background interference, allowing for precise determination of object images and tracking of moving objects or gestures by isolating the object image and improving the accuracy of image detection systems.
Implementation Method 1
An image sensor usually has a plurality of sensing elements, which can convert light into voltages
Implementation Method 2
a lens device attached to the image sensor, configured to allow the foreground object to form a clear image on the first picture
Data Source
AI summary
The present disclosure provides a detection system, which includes an image sensor, a lens device, and a processor. The image sensor is configured to take a first picture of a foreground object and a background object. The lens device is attached to the image sensor and configured to allow the foreground object to form a clear image on the first picture and the background object to form a blurred image on the first picture. The processor is configured to determine the image of the foreground object by analyzing the sharpness of the images of the first pictures.