Image recognition methods, smart terminal devices, smart headphones and image recognition systems

By using smart terminal devices to detect the degree of occlusion in images captured by smart headphones, and selecting either a single-sided image or a stitched image of both sides for recognition, the problem of recognition failure caused by occlusion in smart headphone image acquisition is solved, thus improving flexibility.

CN122135345APending Publication Date: 2026-06-02GEER TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GEER TECH CO LTD
Filing Date
2026-01-05
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing smart headphones are prone to image recognition failures or errors during image acquisition because they fit snugly against the face when worn. Furthermore, current technology requires simultaneous recognition of images captured by both headphones, which limits its flexibility.

Method used

The smart terminal device generates a shooting command, acquires images of both sides to be identified through the shooting component of the smart earphone, and performs occlusion detection. If one side is severely occluded, the target side image is selected for recognition; if both sides are severely occluded, the images are stitched together for recognition.

Benefits of technology

It improves the flexibility of image recognition, enabling the selection of single-sided images or the stitching of two-sided images for recognition based on the degree of occlusion, thus solving the problem of low flexibility in existing technologies.

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Abstract

This application relates to the field of image recognition technology, and discloses an image recognition method, a smart terminal device, a smart earphone, and an image recognition system. The method includes: transmitting a generated shooting command to the smart earphone, causing the smart earphone to take a picture through a shooting component, and detecting the occlusion degree of the captured bilateral images to be recognized; if the occlusion degree detection result indicates severe occlusion on one side, then selecting the target side image from the bilateral images to be recognized for recognition, and obtaining an image recognition result; if the occlusion degree detection result indicates severe occlusion on both sides, then stitching the bilateral images to be recognized together, and recognizing the stitched image, and obtaining an image recognition result. Because the smart terminal device in this application can choose whether to use a single-side image for recognition or to stitch the bilateral images together based on the occlusion degree detection result of the captured bilateral images by the smart earphone, the flexibility of image recognition can be improved.
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