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In the fields of engineering construction and industry, extracting pipeline single-line diagrams has become a task that requires a significant amount of work in the early stages of a project. AI Image Recognition·Material List is a drawing recognition software deployed on the Hushi Cloud platform. Based on machine learning technology, it can automatically identify drawing files such as pipe layout diagrams, extract material lists quickly and accurately, thereby reducing the workload associated with manual data extraction, ensuring project progress, preventing omissions in procurement, and saving labor and time costs. The software can be applied in various stages such as procurement, construction, and production preparation by owners or engineering companies, providing accurate material information for tasks like formulating procurement plans, issuing materials for construction, preparing operational budgets, and verifying materials. Key features: 1. Supports the extraction of material lists and supplementary information from various types of files. It can identify PDF drawings that contain material lists for pipelines, equipment, and other related elements, as well as pure table-based PDF files such as \"Comprehensive Pipeline Material List\", \"Equipment Insulation Material List\", \"Spare Parts List\", and \"Instrument Material List\", automatically extracting the material lists from these files using AI models. 2. Adaptive extraction of various customized material tables. Generic OCR and other methods used for extracting data from material tables often make mistakes in determining the location of elements as well as the arrangement of rows and columns. These methods rely heavily on manual creation of templates, and the resulting data requires significant manual adjustments to its format. AI-based image recognition, on the other hand, is not limited by the style of the material table; it can intelligently identify and understand the meaning of the information, thereby structuring and presenting the data in an organized manner. There is no limit to the number or location of tables. No matter how many material lists there are in the drawing, or where they are located within it or how they are arranged, they will all be accurately positioned. Multiple material lists within the same drawing will be identified, displayed, and counted separately. 3. Batch verification: All OCR products available on the market, due to technical limitations, inevitably make errors when extracting text; therefore, manual verification is required. In addition to having a higher recognition accuracy, the software is also more efficient when verifying information: within the same project, once the same material has been verified once, it will be automatically marked in green when it appears on other drawings, at which point only its quantity needs to be checked. In the same document, if there are identical text errors across different pages or documents, they can be quickly corrected using [Batch Replace]. 4. Cloud deployment for easy operation: Computation and data storage are carried out on the server side; no software needs to be downloaded – the service can be used simply by accessing a web page. It supports multiple users working together online. The operation is straightforward, without any complicated procedures; batch file uploads are supported, and once the files are uploaded, the software automatically identifies and extracts the relevant information. After verification, all data can be exported with just one click, and the material list is automatically summarized. 5. Data security: Security is ensured through AES-256 encryption algorithms and SSL/TLS protocols in the cloud, which protect data during storage and transmission. Management controls are also provided to enhance organizational protection measures. Privacy: The cloud utilizes industry best practices to prevent unauthorized access. “The “privacy protection principles” are documented in an open and transparent manner, ensuring that user data is handled in the most appropriate way. Reliability: The cloud infrastructure is provided by top domestic cloud service providers, offering elastic scaling, multi-level redundancy, and disaster recovery capabilities to meet the requirements for high performance and high availability. Compliance: Detailed audits are conducted on data access and operation logs to ensure compliance with relevant regulations and industry standards; efforts are made to obtain the Level 3 security certification as well as the ISO27001 information security management system certification. If you are interested, you can contact v15620190282 to try it out