Wireless Charging Foreign Object Detection Under Reflected Light
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Solution Overview
Problem
Conventional foreign object detection methods in wireless charging systems are hindered by reflected light interference, leading to increased misdetection possibilities and degraded performance.
Innovation Solution
An image-based foreign object detection apparatus and method that captures an image of the charging region, removes reflected light through blurring and morphological operations, and generates a difference image to accurately detect foreign objects using pixel counting and threshold comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an image capturing device is used to detect foreign objects in the charging region, then foreign object detection capability is provided, but reflected light from adjacent lights causes misdetection and degrades detection performance
Solution Approach 1:
The patent extracts and removes the harmful reflected light component from the captured image through image processing. The image processing device separates the reflected light from the normal image data, eliminating its interference effect on foreign object detection and improving detection accuracy.
Solution Approach 2:
The patent introduces an image processing device as an intermediary between the image capturing device and the foreign object detection logic. This intermediary processes the raw image data, removes reflected light interference, and provides cleaned image data for accurate foreign object detection.
2Reliability
If conventional image processing is used without reflected light removal, then processing simplicity is maintained, but misdetection rate increases due to reflected light interference
Solution Approach 1:
The image processing device performs self-service by automatically identifying and removing reflected light components from the image data without requiring complex manual intervention or adjustment. The system autonomously processes the images to eliminate interference, maintaining operational simplicity while improving accuracy.
3Reliability
If high-specification image processing is used to remove reflected light, then detection accuracy improves, but device requirements and complexity increase
Solution Approach 1:
The patent employs cost-effective image processing techniques that do not require expensive high-specification hardware. The processing methods use computationally efficient algorithms that can be implemented on standard devices, providing accurate reflected light removal without increasing device complexity or cost.
Data Source
AI summary
An apparatus for detecting foreign objects based on an image in a wireless charging system is provided. The apparatus includes an image capturing device configured to photograph a charging region of the wireless charging system to previously obtain a normal image including no foreign object and photograph the charging region to a current image of a current frame and an image processing device configured to generate a difference image between the normal image and the current image, remove reflected light in the current image, and detect whether a foreign object is in the charging region, based on the difference image and a reflected light-removed current image.