Measurement and identification system for 3D objects

AU2024429376C1Pending Publication Date: 2026-07-16TAROKO DOOR & WINDOW TECH INC
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Patent Information

Authority / Receiving Office
AU · AU
Patent Type
Applications
Current Assignee / Owner
TAROKO DOOR & WINDOW TECH INC
Filing Date
2024-02-20
Publication Date
2026-07-16

AI Technical Summary

Technical Problem

In the prior art, the dimensional detection of door and window building materials relies on manual measurement, and there are problems of inaccurate identification caused by subjective errors and insufficient light, especially in terms of building materials and accessories's completeness and location confirmation.

Method used

A 3D object measurement and identification system is adopted, including a measurement platform, image capture unit and image processing unit. It uses a high-resolution camera and image processing software, combined with the bottom and top light sources, to automatically measure and identify the size, appearance, accessories completeness and location of building materials. Through image comparison and AI image recognition technology, the impact of human error and insufficient light is reduced.

Benefits of technology

It improves the accuracy and efficiency of door and window building materials inspection, reduces identification difficulties caused by human error and insufficient light, ensures the correctness of building materials size and accessories position, and realizes automated and high-precision inspection.

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Abstract

A measurement and identification system for 3D objects, comprising: a measurement platform (1), at least one image capture unit (2), and an image processing unit (3). The measurement platform (1) is used for bearing a 3D object to be measured; the image capture unit (2) is provided on the measurement platform (1) to capture an image of said 3D object; and upon receiving the image of said 3D object, the image processing unit (3) can directly measure the actual dimension of the 3D object in the image, and can identify whether the appearance of the 3D object in the image is crooked and deformed, determine whether the color of the object and accessory positions are correct, and determine whether any accessory is absent, so as to overcome the limitations of measurement with human eyes and subjective identification errors, thereby improving outgoing quality of manufactured objects.
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