An automated product quality testing device

CN224636450UActive Publication Date: 2026-08-14GUANGDONG UNIV OF SCI & TECH
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
Filing Date
2025-05-19
Publication Date
2026-08-14

AI Technical Summary

Technical Problem

[0002]现有的智能化检测装置对微小缺陷和细节的检测精度不高,且自动化程度不够,在跨模态特征关联方面仍依赖人工规则设计,泛化性能差,在短时间内很难处理大量数据,且可兼容的检测类别不多,尽管深度学习被引入以提升分类精度,但训练数据匮乏与工业场景标注成本高昂导致模型迁移困难,且在极端工况下仍存在显著的性能退化

Benefits of technology

[0010]本实用新型结合人工智能和机器学习技术,实现智能化检测和识别,提高检测精度和效率;通过高精度相机和图像处理技术,实现高精度检测和识别,准确检测微小缺陷和细节,实现自动化检测和识别,减少人工参与,降低生产成本和人为错误,提高生产效率和产品质量;能够在短时间内处理大量数据,实现高效、快速的检测和识别,提高生产效率;可适用于不同领域和行业,根据不同需求进行定制和扩展,具有广泛的应用前景和市场需求。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN224636450U_ABST
    Figure CN224636450U_ABST
Patent Text Reader

Abstract

This utility model discloses an automated product quality inspection device, relating to the field of industrial automation. The device includes a defect inspection station, an infrared scanner, a robotic arm, and a computer. The robotic arm picks up parts transported to a designated location via a conveyor belt and places the product to be inspected on the defect inspection station. The defect inspection station performs a preliminary inspection of the product's exterior; after confirming no surface damage, the infrared scanner is activated to perform internal scanning inspection. The computer integrates and analyzes the detected data and outputs the results. This utility model, through an automated product quality inspection device, solves the problems of poor real-time performance, low accuracy, and poor compatibility in current inspection technologies, achieving efficient automated inspection and identification, improving inspection accuracy, and being compatible with various products.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This utility model relates to the field of industrial automation, and more particularly to an automated product quality testing device. Background Technology

[0002] Existing intelligent inspection devices lack precision in detecting minute defects and details, and their automation level is insufficient. They still rely on manual rule design for cross-modal feature association, resulting in poor generalization performance. They struggle to process large amounts of data quickly and have limited compatible detection categories. Although deep learning has been introduced to improve classification accuracy, the scarcity of training data and the high cost of annotation in industrial scenarios make model transfer difficult, and significant performance degradation still occurs under extreme conditions. The inspection industry has broad application prospects and market demand. To meet the market demand for detecting minute defects in industrial products (such as gears, screws, etc.), we urgently need an automated product quality inspection device to achieve high-precision and high-efficiency product inspection. Summary of the Invention

[0003] To address the problems in the background technology, this utility model proposes an automated product quality inspection device, implemented through the following technical solution: An automated product quality inspection device includes a defect inspection table, an infrared scanner, a robotic arm, and a computer. The robotic arm picks up parts transported to a designated location via a conveyor belt and places the product to be inspected on the defect inspection table. The defect inspection table performs a preliminary inspection of the product's exterior; after confirming no surface damage, the infrared scanner is activated to perform internal scanning inspection. The computer integrates and analyzes the detected data and outputs the results. The defect inspection table's housing contains a stripe component and a recognition component; the housing primarily serves to protect the stripe component and the recognition component. To prevent external interference and improve detection accuracy, the identification component is connected to a computer for identification calculations. The housing is fixedly installed inside a precision lifting platform for fixing the industrial camera. The power and data cable of the industrial camera is connected to the computer, and it can move vertically via the slide rails of the precision lifting platform. An LED light source board connected to the computer control module via a power cable is mounted on the top of the housing using a fixed bracket. The infrared scanner, consisting of an infrared sensor and a processor, is installed at the front end of the housing. The robotic arm, consisting of multiple rotatable joints and an end effector, is installed along the detection production line and its joint movement is controlled by a motor. The end effector is used to grasp objects. The computer includes a control unit and a data processing unit.

[0004] Preferably, the precision lifting platform for fixing the industrial camera is driven by a motor, and the lifting and rotation are controlled by the motor. It has high-precision slide rails and platform.

[0005] The industrial camera is preferably a high-resolution camera, equipped with a lens and an image sensor.

[0006] Preferably, the LED light source board consists of multiple LED beads arranged in a rectangular array to provide uniform illumination.

[0007] Preferably, the infrared scanner is connected to a computer via a data cable.

[0008] Preferably, the computer connects to each component via Bluetooth to control the operation of the entire device.

[0009] The preferred detection device further includes a conveyor belt installed at the bottom of the defect detection table, and a gravity sensor is installed inside the conveyor belt.

[0010] This invention combines artificial intelligence and machine learning technologies to achieve intelligent detection and recognition, improving detection accuracy and efficiency. Through high-precision cameras and image processing technology, it achieves high-precision detection and recognition, accurately detecting minute defects and details, realizing automated detection and recognition, reducing manual intervention, lowering production costs and human error, and improving production efficiency and product quality. It can process large amounts of data in a short time, achieving efficient and rapid detection and recognition, thus improving production efficiency. It is applicable to different fields and industries, and can be customized and expanded according to different needs, possessing broad application prospects and market demand. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the overall layout of the detection device of this utility model;

[0012] Figure 2 This is a schematic diagram of the defect detection platform of this utility model;

[0013] Figure 3 This is a schematic diagram of the infrared scanner of this utility model;

[0014] Figure 4 This is a schematic diagram of the robotic arm of this utility model;

[0015] In the diagram: 1. Defect detection platform; 11. Housing; 12. Precision lifting platform; 2. Infrared scanner; 21. Infrared sensor; 22. Processor; 3. Robotic arm; 31. Joint; 32. End effector; 4. Conveyor belt. Detailed Implementation

[0016] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present utility model without creative effort are within the protection scope of the present utility model.

[0017] like Figure 1-4 As shown, an automated product quality inspection device includes a defect inspection station 1, an infrared scanner 2, a robotic arm 3, and a computer. The robotic arm 3 picks up products (industrial parts such as gears and screws) transported to a designated location via a conveyor belt 4, and then places the product to be inspected on the defect inspection station 1. The defect inspection station 1 performs a preliminary inspection of the product's exterior. After confirming that the surface is undamaged, the infrared scanner 2 is activated to perform an internal scanning inspection. The computer integrates and analyzes the detected data and outputs the results. The defect inspection station 1 has a housing 11 containing a stripe component and a recognition component. The housing 11 primarily protects the stripe component and recognition component from external interference, improving inspection accuracy. The recognition component is connected to the computer. For identification calculations, the housing 11 is fixedly installed inside the precision lifting platform 12 used to fix the industrial camera. The precision lifting platform 12 is driven by a motor, which controls the lifting and rotation. It has a high-precision slide rail and platform. The industrial camera is a high-resolution camera equipped with a lens and image sensor. The power data cable of the industrial camera is connected to the computer. It can move vertically through the slide rail of the precision lifting platform 12. The computer includes a control unit and a data processing unit. It is connected to each component via Bluetooth to control the operation of the entire device. An LED light source board is mounted on the top of the housing 11 using a fixed bracket. It is connected to the computer control module via a power cable. The LED light source board consists of multiple LED beads arranged in a rectangular array to provide uniform illumination.

[0018] The infrared scanner 2, consisting of an infrared sensor 21 and a processor 22, is mounted on the front end of the housing 11. Connected to a computer via a data cable, the infrared scanner 2 is a crucial detection device. It utilizes a high-hardness scanner motherboard and base for support. For some basic components, we use C-shaped fiberglass as the cylindrical endoscope, characterized by high transparency and high thermal stability, used to manufacture the heat insulation sleeve inside the lens to prevent deformation due to temperature differences during use. We also use S-shaped fiberglass as the convex mirror, characterized by high transparency and high strength and modulus, used to manufacture load-bearing components such as the lens housing, ensuring the structural strength of the lens.

[0019] The robotic arm 3 consists of multiple rotatable joints 31 and an end effector 32. It is installed in the inspection production line and the joints 31 are controlled by a motor. The end effector 32 is used to grasp objects. When designing the robotic arm 3, a base with high strength, good wear resistance and long service life is used as the supporting part of the robotic arm 3. At the same time, SBR, a lightweight material with low mass density but high tensile strength, is used as the mechanical claw.

[0020] The inspection device also includes a conveyor belt 4 installed at the bottom of the defect inspection table 1. The conveyor belt 4 is equipped with a gravity sensor. In the design of the conveyor belt 4 model, cast stainless steel with good load-bearing capacity is used as the side wall material; 1023 carbon steel plate with high strength, good wear resistance and long service life is used as the roller parts; and materials with high tensile strength and wear resistance are used as the conveyor belt 4 for transporting parts.

[0021] Working principle:

[0022] This utility model includes a defect detection platform 1, an infrared scanner 2, a robotic arm 3, a computer, and a conveyor belt 4. The specific process is as follows: First, the product to be inspected is placed on the platform, then picked up by the robotic arm 3 and placed on the conveyor belt 4 for transportation. After being transported to the vicinity of the inspection platform, the robotic arm 3 places the product to be inspected on the defect detection platform 1. The inspection platform's camera module, in conjunction with a telephoto lens, performs a preliminary inspection of the product's exterior. After confirming that the surface is undamaged, the infrared scanner 2 is activated to perform an internal scanning inspection. After the second inspection is completed, the robotic arm 3 picks up the inspected product. If both inspections pass, the product is placed on the lower conveyor belt 4 for transportation, and finally placed on the qualified platform by the robotic arm 3; otherwise, the product is placed on the upper conveyor belt 4 and finally moved to the unqualified platform. The inspection platform base is equipped with a gravity sensor. When there is no product, the conveyor belt 4 operates normally. When a product is placed, increasing the weight on the base, the conveyor belt 4 stops operating, reducing waste costs.

[0023] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents. In this invention, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection, an electrical connection, or a connection that allows communication between them; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two elements or the interaction between two elements, unless otherwise expressly limited. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0024] Obviously, the embodiments described above are only some embodiments of this utility model, not all embodiments. The accompanying drawings show preferred embodiments of this utility model, but do not limit the patent scope of this utility model. This utility model can be implemented in many different forms; rather, the purpose of providing these embodiments is to provide a more thorough and comprehensive understanding of the disclosure of this utility model. Although this utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing specific embodiments, or make equivalent substitutions for some of the technical features. Any equivalent structures made using the content of this utility model specification and drawings, directly or indirectly applied to other related technical fields, are similarly within the patent protection scope of this utility model.

Claims

1. An apparatus for automated detection of product quality, characterized by: This includes a defect detection station, an infrared scanner, a robotic arm, and a computer; The defect detection station is equipped with a housing, inside which are assembled a stripe component and a recognition component. The recognition component is electrically connected to the computer. The housing is fixedly installed inside a precision lifting platform, on which an industrial camera is mounted. The power and data cable of the industrial camera is connected to the computer, and the industrial camera can move vertically along the slide rail of the precision lifting platform. An LED light source board is mounted on the top of the housing via a fixed bracket, and the LED light source board is connected to the computer's control module via a power cable. The infrared scanner consists of an infrared sensor and a processor, and the infrared scanner is installed at the front end of the housing; The robotic arm is deployed at the inspection assembly line. The robotic arm includes multiple rotatable joints and an end effector for grasping objects. The joints of the robotic arm are driven by motors. The computer integrates a control unit and a data processing unit.

2. The apparatus for automated detection of product quality according to claim 1, wherein: The precision lifting platform is driven by a motor and can realize lifting and rotating actions. The precision lifting platform is equipped with high-precision slide rails and a load-bearing platform.

3. The apparatus for automated detection of product quality according to claim 1, wherein: The industrial camera is a high-resolution camera, equipped with a lens and an image sensor.

4. The apparatus for automated detection of product quality according to claim 1, wherein: The LED light source board is composed of several LED beads, which are arranged in a rectangular array.

5. The apparatus for automated detection of product quality according to claim 1, wherein: The infrared scanner is connected to the computer via a data cable.

6. The apparatus for automated detection of product quality according to claim 1, wherein: The computer communicates with the various components within the device via Bluetooth.

7. The apparatus for automated detection of product quality according to claim 1, wherein: It also includes a conveyor belt installed at the bottom of the defect detection station, and a gravity sensor is installed inside the conveyor belt.