Verfahren zum fotografieren eines objekts zur identifizierung eines haustiers und elektronische vorrichtung

AT1926512TActive Publication Date: 2026-06-15PETNOW
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Patent Information

Application Number
AT2022833529T
Authority / Receiving Office
AT · AT
Patent Type
Patents
Current Assignee / Owner
Priority Date
2021-06-28
Filing Date
2022-06-27
Publication Date
2026-06-15
Estimated Expiration
2042-06-27

AI Technical Summary

Technical Problem

Current methods for capturing and identifying companion animal noseprints face challenges due to difficulties in image quality, recognition rate, and computational complexity, particularly because companion animals like dogs move unpredictably, making it hard to acquire clear images of their noseprints for AI-based identification.

Method used

An electronic device and method that utilize image processing techniques to detect and filter images of companion animals by determining feature regions, applying pre-processing and post-processing to extract feature values, and transmitting suitable images to a server for AI-based learning or identification, while reducing computational complexity and improving detection accuracy.

Benefits of technology

The method effectively selects and stores high-quality noseprint images for AI-based identification, reducing computational complexity and enhancing detection accuracy by determining species and extracting feature regions based on reliability values, thus optimizing neural network learning.

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Abstract

The present invention provides an image processing method and an electronic device capable of effectively detecting an object for identifying a companion animal while reducing computational complexity. According to the present invention, a method for detecting an object for identifying a companion animal includes acquiring an original image including the companion animal, determining a first feature region and a species of the companion animal by image processing on the original image, and detecting the object for identifying the companion animal within the first feature region based on the determined species of the companion animal.(Figure 3)
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