Automated Chip Code Detection via Image Matching
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Solution Overview
Problem
In semiconductor manufacturing, manual operation of laser cameras to collect chip codes is time-consuming and prone to errors, such as missing or repeated collection, and incorrect positional sequencing, especially when dealing with large numbers of chips on a chip tray.
Innovation Solution
A method that automatically collects chip codes by obtaining images, matching them with database-stored comparison images to determine chip positions, and identifying codes within detection regions, thereby enabling simultaneous detection and storage of multiple chip codes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operation of laser cameras is used to collect chip codes, then the detection process is simple to operate, but the detection time is excessively long and error rate increases
Solution Approach 1:
The system performs automatic chip code detection without manual intervention. The controller automatically controls the laser camera to shoot images, processes the images to identify chip codes, and stores the results. This self-service automation eliminates manual operation while achieving high-speed detection of multiple chip codes simultaneously.
2Ease of operation
If manual operation is used to collect chip codes one by one, then the detection process is straightforward, but the detection time consumption is excessive
Solution Approach 1:
The system merges multiple detection operations into a single automated process. The controller simultaneously controls the laser camera to capture images of multiple chips and processes all images to identify multiple chip codes in parallel, rather than sequentially collecting one code at a time. This combining of operations dramatically reduces total detection time.
Solution Approach 2:
The system performs preliminary image processing and chip code identification automatically before manual verification would be needed. By pre-processing the images and extracting chip codes automatically, the system eliminates the need for manual sequential collection and reduces detection time significantly.
3Device complexity
If manual collection method is used, then the equipment complexity is low, but the error rate of chip code collection increases
Solution Approach 1:
The system incorporates feedback mechanisms where the controller automatically processes captured images, identifies chip codes, and verifies the results. This automated feedback loop ensures accurate collection by systematically processing each image and confirming code extraction, eliminating human errors in manual collection while maintaining manageable system complexity through software-based solutions.
Data Source
AI summary
A method for chip collection and a method for chip positioning are provided. The method for chip collection includes that: an image to be detected is obtained; chip position information of a comparison image with a highest matching degree with the image to be detected is obtained from a database; a position of each of detection regions in the image to be detected is obtained based on the chip position information; an image of the detection region is obtained based on the position of each detection region; it is determined whether the image of the detection region includes the chip code image; and when the image of the detection region includes the chip code image, a chip code corresponding to the chip code image identified and the chip code is stored in the database.