IP Standards for Technical System Protection

Intellectual property escrow system using blockchain to provide automated infringement detection and rights protection for intellectual property. The system involves publishing intellectual property data to a blockchain, intelligently retrieving relevant data for analysis, analyzing for infringement, and notifying the owner and infringer if found.

Source

An intellectual property management system and method for enterprises that efficiently manages and tracks their intellectual property. The system receives and stores IP data input by enterprise personnel. It allows searching and displaying specific IP records. It also provides local database modification and deletion capabilities. This improves IP management efficiency by providing centralized collection, retrieval, and management of enterprise IP.

Source

Intellectual property analysis method and system using big data to evaluate the innovation, potential value, and infringement of intellectual property. The method involves detecting plagiarism in knowledge results by analyzing keyword overlap with professional fields. It also assesses practicality, social benefit, and economic benefit of knowledge results. This provides a comprehensive evaluation of intellectual property quality and risk. The system has modules for infringement detection, potential value assessment, and intellectual property database.

Source

An online automated system for detecting intellectual property infringements in e-commerce products. The system uses machine learning techniques to analyze text, images, and videos from product listings to identify potential infringements. It compares features like text similarity, image matching, and video comparison against authorized brand and licensing libraries to detect potential infringements. The system aims to improve speed and accuracy of finding infringements compared to manual inspections, particularly for large volumes of products.

Source

Intellectual property management system that prevents misdelivery of intellectual property documents by cross-checking delivery destinations. The system receives delivery files containing IP documents with specified destinations. It extracts the IP matter information and identifies the correct destination for that matter. It compares the identified destination with the original specified destination. If they match, delivery proceeds. If not, access is restricted to prevent erroneous delivery.

Source

Intellectual property management system to improve accuracy and convenience in intellectual property (IP) rights applications, searches, and registrations. The system allows users to input IP information, check for duplicates, analyze the IP, classify it, and store it. This provides features like real-time duplicate checking, IP analysis, classification, and storage to improve IP application accuracy and convenience. It also has modules for downloading and browsing IP data with registration to securely access stored IP information.

Source

Intellectual property information management system that monitors intellectual property cases through their stages, displays results, and notifies users of abnormalities to prevent legal risks. The system acquires user registration data to identify their IP management type and stage. It tracks case progress and sends real-time updates when completed. It analyzes case data to detect abnormalities like infringement or statute of limitations expiration. If detected, it notifies the user.

Source

A system for efficiently and accurately screening and analyzing intellectual property data by automating the process using a database, query, screening, control, early warning, storage, and client modules. The system collects intellectual property data, allows targeted queries, performs automated screening using a control module, and provides early warning of issues like expiring rights or infringement risks. The system improves efficiency and accuracy compared to manual retrieval and analysis.

Source

Automated vendor compliance assessment that allows customers to rapidly and accurately evaluate the information security practices of their vendors. The system evaluates vendor compliance with predefined information security criteria like cybersecurity, regulatory, intellectual property, data management, and policy. It accesses remotely located sources to gather data about the vendor's performance against these criteria. The system compares the vendor's data against predetermined standards to determine compliance. If the vendor falls short in certain areas, it can identify remedial actions to bring them into compliance. The system reports back to the customer whether the vendor is compliant or not.

Source

Efficiently and accurately detecting intellectual property infringement using a method and device that retrieves products based on keywords, identifies intellectual property marks, compares product descriptions to IP content, and determines infringement. The method involves receiving an IP infringement detection task with product keywords and scope, retrieving products and their content matching those keywords, identifying IP marks and products, comparing descriptions to IP content, and determining infringement based on the comparisons.

Source

Active early warning system for identifying parties involved in intellectual property infringement using AI. The system collects data from various sources like transactions, logistics, communications. It preprocesses the data to generate a normalized dataset. An AI model is trained using reinforcement learning to identify infringers based on feedback scores. The model is deployed in a distributed server architecture with clustering and distributed storage. The system can continuously learn and improve by feeding back scores from the model's predictions.

Source

Method for e-commerce platforms to combat intellectual property infringement by marking and stamping infringing products after they are identified. When an intellectual property product is infringed, the e-commerce platform adds a prominent mark or stamp to the product images. When searching for the product, the infringing images are displayed. This provides immediate and continuous deterrence to counterfeit merchants and warns them of severe consequences. The mark or stamp is checked by the platform manager and cannot be removed before an infringement agreement is reached.

Source

Intellectual property rights management system that helps prevent improper licensing or transfer of IP rights. The system monitors IP rights processing and flags potential risks based on whether rights have been properly granted or transferred. It determines the risk level related to the IP rights based on processing information, then outputs information about the risks associated with exercising those rights. This allows tracking and mitigating issues like unauthorized licensing or transfers of IP.

Source

Intellectual property management system for enterprises to efficiently manage patent applications, project declarations, and other IP matters. The system consists of subsystems for the management department, technical department, and external parties like patent agents. It enables orderly communication and tracking between these parties to improve IP management efficiency, prevent leakage, and monitor progress. Features include document sharing, multi-party chat, and review modules.

Source

Method and device for infringement monitoring and evidence collection to help protect intellectual property online. It involves automated monitoring of user-specified data across the web for infringements. The method involves solidifying and encrypting the user's monitored data, user info, and timestamps. It then searches for similar data in the monitored area and extracts infringing matches. These infringements are solidified, timestamped, and sent to the user along with the original data. If the user confirms infringement, they can send an infringement notice. The solidified infringement data is then filed with a judicial institution. This provides a way to generate legally enforceable evidence for IP protection.

Source

A system to detect duplicate content in intellectual property applications like patents, copyrights, and trademarks. The system uses feature extraction to analyze the text or images of the IP applications and compare them against a database of existing IP to find duplicates. It splits the text into paragraphs/sentences or extracts features from images. The feature values are compared against a database using a matching unit. This allows checking both text and images for duplicates. The matching unit finds similarities between the extracted features and the database features. A rule-making unit generates duplicate checking rules based on consecutive N words in each paragraph/sentence of the IP. This improves accuracy by checking specific sections rather than the whole document.

Source

Intellectual property infringement detection and reminder system that analyzes data to detect potential intellectual property infringement and alerts the rights holder. The system involves a data analysis module that receives uploaded intellectual property content to analyze for infringement using techniques like keyword extraction and feature comparison. This module can detect infringement of trademarks, patents, and copyrights. The analysis results are displayed in real-time on a feedback terminal. The system also has a reminding alarm terminal to alert the rights holder of potential infringement.

Source

Intellectual property (IP) early warning system using big data to track and provide real-time alerts for patents and trademarks. The system stores IP data and allows users to search and process it. It provides patent warnings for technology fields of interest, tracks pending patent payments, and identifies expired trademarks. It also alerts on trademark infringement and similar marks from new registrants.

Source

An automated system that uses machine learning to determine relevant technical standards for a patent. The system converts both the patent and technical standards into reduced feature vectors and combines them. A machine learning algorithm, trained on labeled data, scores the similarity of the combined vectors to identify the most relevant technical standards.

Source

Protecting intellectual property rights using blockchain to automate and improve the process of identifying infringements from large datasets. The method involves leveraging blockchain's hash functions to generate unique fingerprints of intellectual property content. When searching for infringements, instead of manually scanning through large datasets, the method compares the hash values of suspected infringing content to the hash values of the original content. If the hash values match, it indicates a high probability of infringement without needing to compare the entire content. This automated comparison using hash values enables faster, more comprehensive, and lower cost infringement detection compared to manual comparison.

Source