Intelligent gold bonding wire safety detection method and system based on Internet of Things
Through the Internet of Things-based intelligent bonded wire safety detection method, sampling, burning and image analysis technologies are used to solve the problems of time-consuming and labor-intensive and human factors that are affected by traditional detection methods, and efficient and accurate detection results are achieved.
CN119716103AInactive Publication Date: 2025-03-28SHENZHEN ZHONGBAO NEW MATERIAL TECH CO LTD
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Patent Information
- Application Number
- CN202411802704.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-28
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Technical Problem
The traditional smart bonded alloy wire detection method relies on simple physical testing, is time-consuming and labor-intensive, and is susceptible to human factors, resulting in inaccurate detection results.
Method used
The Internet of Things-based smart bonded wire safety detection method is adopted to sample, burn, image acquisition and analysis of smart bonded wire, generate identification diagrams and edge profile diagrams, automate the detection process, and reduce manual operations.
Benefits of technology
The detection process is automated, the detection efficiency is greatly improved, the error of manual operation is reduced, and the accuracy and reliability of the detection results are ensured.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an intelligent gold bonding wire safety detection method and system based on the Internet of Things, and relates to the technical field of intelligent gold bonding wire detection.The method comprises the following steps that intelligent gold bonding wires of all batches are sampled and burnt, then pictures of the burnt intelligent gold bonding wires are collected, and an identification schematic diagram is generated; analyzing the identification schematic diagram to generate an edge contour diagram; and performing analysis based on the edge contour map to obtain detection data analysis. According to the method, automation of the whole process from sampling, burning, image acquisition to analysis is achieved through the Internet of Things technology, the detection efficiency is greatly improved, errors of manual operation are reduced, the edge contour of the burning mark can be accurately recognized and analyzed through the image processing technology, the accuracy of the detection result is ensured, and the detection efficiency is improved. Particularly, by establishing the coordinate points and judging the connection condition of the coordinate points, incomplete burning marks can be effectively eliminated, and the detection reliability is improved.
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