Camera-Assisted Alignment Detection for Probe Positioning
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Solution Overview
Problem
There is a need for a method to accurately determine the location of a device under test with respect to a testing probe without relying on jigs, as existing apparatuses may not provide reliable alignment, especially when different devices require different types of jigs, increasing testing costs.
Innovation Solution
A camera-assisted alignment detection method that involves displaying patterns on the device's display, capturing images, analyzing the patterns' locations, and using this information to determine the device's pose, allowing for more reliable and automatic positioning of the testing probe.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If jigs are used to align the device under test, then alignment reliability is improved, but device complexity and testing costs increase due to device-specific jig requirements
Solution Approach 1:
The patent extracts the alignment function from physical jigs and transfers it to a software-based image processing system. The camera captures images of the device, and the system automatically determines device position and orientation through pattern recognition and coordinate transformation, eliminating the need for device-specific mechanical alignment aids.
Solution Approach 2:
The patent replaces the mechanical jig-based alignment system with an optical-capture-and-computational system. Instead of using physical fixtures to constrain and align devices, the system uses a camera to capture device images, processes these images computationally to determine pose, and automatically adjusts the testing probe positioning accordingly.
2Measurement precision
If jigs are used for device alignment, then positioning accuracy is improved, but loss of time increases due to manual setup and device-specific jig configuration
Solution Approach 1:
The system performs preliminary alignment by capturing device images and calculating position offsets before actual testing begins. The calibration process pre-determines the relationship between camera coordinates and device coordinates, so that during testing, the system can rapidly position the probe without manual intervention or physical jig adjustments.
Solution Approach 2:
The device itself provides alignment information through its display or surface features that the camera can detect. The system uses the device's own visual characteristics (such as displayed patterns or physical markers) to automatically determine its position and orientation, making the device self-aligning without requiring external jigs or manual positioning.
3Adaptability or versatility
If device-specific jigs are used for different devices, then alignment adaptability is improved, but manufacturing cost increases due to multiple jig types
Solution Approach 1:
The patent implements a universal alignment system that can handle multiple device types with a single setup. The camera-based image processing system automatically adapts to different devices by capturing their visual features and computing appropriate coordinate transformations, eliminating the need for multiple device-specific jigs and reducing manufacturing costs.
Data Source
AI summary
There are disclosed various methods, apparatuses and computer program products for camera assisted alignment detection. In some embodiments a certain number of patterns are shown on a display of a device under test, at least one image of the display is captured, the at least one captured image is analyzed to find out locations of the patterns, and the locations of the patterns are used to determine the pose of the device under test.