CN-121994827-A - Product overhauling detection method, device, equipment, storage medium and program product

Abstract

The embodiment of the application provides a method, a device, equipment, a storage medium and a program product for detecting product overhauling. The method comprises the steps of obtaining an appearance quality inspection report of a product to be detected and an X-ray image of an internal structure, carrying out multi-mode abnormal detection processing on the appearance quality inspection report and the X-ray image to obtain a detection result of the product to be detected, wherein the detection result comprises a overhauling processing condition of the product to be detected, and carrying out deep overhauling processing on the product to be detected if the detection result is determined to represent that the product to be detected has undergone the overhauling processing. The method can improve the efficiency and accuracy of product overhauling detection.

Inventors

• ZHAO SHANMIN
• WANG JIANXUN
• ZHOU WEN
• XU CHEN

Assignees

• 转转一零二四(北京)科技有限公司

Dates

Publication Date

20260508

Application Date

20251223

Claims (11)

1. 1. The product overhauling detection method is characterized by comprising the following steps of: acquiring an appearance quality inspection report and an X-ray image of an internal structure of a product to be detected; Carrying out multi-mode abnormal detection processing on the appearance quality inspection report and the X-ray image to obtain a detection result of the product to be detected, wherein the detection result comprises the overhauling processing condition of the product to be detected; and if the detection result is determined to represent that the product to be detected has been subjected to overhauling treatment, carrying out deep overhauling treatment on the product to be detected.
2. 2. The method according to claim 1, wherein the performing multi-mode anomaly detection processing on the appearance quality inspection report and the X-ray image to obtain a detection result of the product to be detected includes: Performing multi-mode anomaly detection processing on the appearance quality inspection report and the X-ray image to obtain a overhauling probability value of the product to be detected, wherein the overhauling probability value represents the possibility that the product to be detected is overhauled; And determining the detection result of the product to be detected according to the overhauling probability value.
3. 3. The method according to claim 2, wherein the performing multi-modal anomaly detection processing on the appearance quality inspection report and the X-ray image to obtain a tamper probability value for the product to be detected comprises: Performing attention processing on the appearance quality inspection report to obtain an attention embedding vector of the appearance quality inspection report, wherein the attention embedding vector characterizes the apparent characteristics of a product to be detected; Extracting features of the X-ray image to obtain image features of the X-ray image, wherein the image features represent internal structural features of a product to be detected; And carrying out multi-mode anomaly detection processing on the attention embedding vector and the image characteristic to obtain the overhauling probability value of the product to be detected.
4. 4. A method according to claim 3, wherein said performing attention processing on said appearance quality inspection report to obtain an attention embedding vector for said appearance quality inspection report comprises: extracting information from the appearance quality inspection report according to the product types to be detected to obtain key information, wherein the appearance quality inspection report comprises appearance conditions and shallow layer overhauling conditions; And carrying out attention processing on the key information to obtain an attention embedding vector of the appearance quality inspection report.
5. 5. The method of claim 2, wherein determining the detection result of the product to be detected according to the disassembly probability value comprises: if the overhauling probability value is greater than or equal to the overhauling threshold value, determining that the detection result represents that the product to be detected has been overhauled; And if the overhauling probability value is smaller than the overhauling threshold value, determining that the detection result represents that the product to be detected is not overhauled.
6. 6. The method of claim 5, wherein the method further comprises: and adjusting the overhauling threshold according to the class information of the product to be detected.
7. 7. The method of any one of claims 1-6, wherein the deep overhaul of the product to be inspected comprises: And carrying out deep overhauling treatment on the product to be detected according to the abnormal position and overhauling degree information in the detection result.
8. 8. A product warranty detection device, comprising: The acquisition module is used for acquiring an appearance quality inspection report of the product to be detected and an X-ray image of the internal structure; the detection module is used for carrying out multi-mode abnormal detection processing on the appearance quality inspection report and the X-ray image to obtain a detection result of the product to be detected, wherein the detection result comprises an overhauling processing condition of the product to be detected; And the processing module is used for carrying out deep overhauling on the product to be detected if the detection result is determined to represent that the product to be detected has been overhauled.
9. 9. An electronic device is characterized by comprising a memory and a processor; The memory stores computer-executable instructions; The processor executing computer-executable instructions stored in the memory, causing the processor to perform the method of any one of claims 1-7.
10. 10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1-7.
11. 11. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements the method of any of claims 1-7.

Description

Product overhauling detection method, device, equipment, storage medium and program product Technical Field The present application relates to the field of artificial intelligence technologies, and in particular, to a method, an apparatus, a device, a storage medium, and a program product for product repair detection. Background In the second-hand electronic product recycling process, judging whether a product is overhauled or not is a core link affecting recycling pricing and user experience. The tamper evidence may relate to battery replacement, motherboard repair, screen disassembly and other operations that affect not only the device performance and service life of the product, but may also conceal potential safety hazards. In the prior art, visual components such as the appearance, the interface, the battery compartment and the like of the mobile phone are inspected through manual or semi-automatic equipment, and the apparent characteristics such as screw loosening, shell abrasion, interface oxidation and the like are recorded. However, in the above manner, the omission ratio of the hidden repair (such as motherboard maintenance and internal component replacement) is high. Disclosure of Invention The application provides a method, a device, equipment, a storage medium and a program product for detecting product overhauling, which can improve the efficiency and accuracy of product overhauling detection. In a first aspect, the present application provides a method for detecting product overhauling, comprising: acquiring an appearance quality inspection report and an X-ray image of an internal structure of a product to be detected; Carrying out multi-mode abnormal detection processing on the appearance quality inspection report and the X-ray image to obtain a detection result of the product to be detected, wherein the detection result comprises the overhauling processing condition of the product to be detected; and if the detection result is determined to represent that the product to be detected has been subjected to overhauling treatment, carrying out deep overhauling treatment on the product to be detected. In a possible implementation manner, the performing multi-mode anomaly detection processing on the appearance quality inspection report and the X-ray image to obtain a detection result of the product to be detected includes: Performing multi-mode anomaly detection processing on the appearance quality inspection report and the X-ray image to obtain a overhauling probability value of the product to be detected, wherein the overhauling probability value represents the possibility that the product to be detected is overhauled; And determining the detection result of the product to be detected according to the overhauling probability value. In a possible implementation manner, the performing multi-mode anomaly detection processing on the appearance quality inspection report and the X-ray image to obtain a overhauling probability value of the product to be detected includes: Performing attention processing on the appearance quality inspection report to obtain an attention embedding vector of the appearance quality inspection report, wherein the attention embedding vector characterizes the apparent characteristics of a product to be detected; Extracting features of the X-ray image to obtain image features of the X-ray image, wherein the image features represent internal structural features of a product to be detected; And carrying out multi-mode anomaly detection processing on the attention embedding vector and the image characteristic to obtain the overhauling probability value of the product to be detected. In one possible implementation manner, the processing the attention of the appearance quality inspection report to obtain an attention embedding vector of the appearance quality inspection report includes: extracting information from the appearance quality inspection report according to the product types to be detected to obtain key information, wherein the appearance quality inspection report comprises appearance conditions and shallow layer overhauling conditions; And carrying out attention processing on the key information to obtain an attention embedding vector of the appearance quality inspection report. In one possible implementation manner, the determining the detection result of the product to be detected according to the overhauling probability value includes: if the overhauling probability value is greater than or equal to the overhauling threshold value, determining that the detection result represents that the product to be detected has been overhauled; And if the overhauling probability value is smaller than the overhauling threshold value, determining that the detection result represents that the product to be detected is not overhauled. In one possible embodiment, the method further comprises: and adjusting the overhauling threshold according to the class information of the product to b