Positioning method and electronic device

By acquiring the first image and template of the electronic product, and utilizing the positional information and relative relationships of the reference area, the problem of difficult positioning of small internal parts of the electronic product was solved, achieving a more accurate positioning effect.

CN122115908APending Publication Date: 2026-05-29LCFC HEFEI ELECTRONICS TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
LCFC HEFEI ELECTRONICS TECH
Filing Date
2026-01-23
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, it is difficult to position small parts in the complex internal structure of electronic products, and they are easily affected by lighting and angle, leading to positioning deviations.

Method used

By acquiring the first image of the electronic product and the corresponding template image, a reference area matching the template image is identified. The location information and relative relationship of the reference area are used to determine the location of the target object. The reference object is used as the reference area for logical reasoning and coordinate transformation to improve positioning accuracy.

Benefits of technology

It improves the positioning accuracy of small internal parts of electronic products, reduces the influence of factors such as lighting and angle, and achieves more accurate target object positioning.

✦ Generated by Eureka AI based on patent content.

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    Figure CN122115908A_ABST
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Abstract

The application discloses a positioning method and an electronic device. The method comprises the following steps: acquiring a first image of a first object, and a target object is arranged on the first object; acquiring N template images corresponding to the first object, the N template images are area images of different positions in a second image of the first object, and N is an integer greater than 1; respectively finding reference areas matched with the template images from the first image, and obtaining N reference areas; and determining a target area from the first image according to the N reference areas, and the target area is an area presenting the target object. When the positioning method is used to position a target object with a small size or unclear features from a relatively complex image, the positioning is more accurate.
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