IP Infringement Detection for Market Surveillance

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

Intelligent method for detecting intellectual property infringement using computer devices. The method involves extracting key information like trademarks, names, and images from enterprise data. It then compares and analyzes the extracted data to determine if there is infringement. The analysis includes steps like comparing text meaning, extracting associated entities, verifying relationships, and finding events. The computer device generates infringement determination results based on these analyses.

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

Monitoring and early warning method for patent infringement using blockchain and AI to detect potential patent infringements in a timely and efficient manner. The method involves using blockchain to securely store and share patent data, and AI techniques like natural language processing and neural networks to analyze text and images for infringement. This allows automated monitoring of large volumes of online content for potential infringements, as well as real-time and regular updates to catch emerging infringements faster. The blockchain provides a trusted and immutable source of patent data for the AI analysis.

Source

Intellectual property (IP) early warning system to proactively monitor and detect potential IP infringements. The system collects IP information from various sources, analyzes it, and provides alerts when there are matches or similarities. It has modules to obtain IP data of competing products, compare features, calculate coincidence levels, and display the results. The system aims to provide a comprehensive and efficient way to track IP rights across organizations and jurisdictions, and quickly identify potential infringements.

Source

A strategy to deter counterfeiters by integrating copyrighted elements into products and using Interpol Red Notices to restrict their travel and pressure them to stop. The strategy involves embedding copyright-protected materials into items like gemstones and affixing authenticated tags with registered copyrighted works. When counterfeiters copy the items, they unknowingly commit criminal copyright infringement. Law enforcement can then request Interpol Red Notices against the counterfeiters. The travel restrictions and criminal charges incentivize them to halt infringement and negotiate with the copyright owners.

Source

A system for FTO (freedom to operate) analysis and risk mitigation to provide a comprehensive and documented process for reducing IP infringement risk in supply chains. The system uses blockchain to create an immutable record of IP analysis steps, from assessing patent density during RFPs to FTO searches and design-arounds. It also enables secure collaboration between supply chain partners and keeps FTO reports updated.

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

Detecting copyright infringement more accurately and comprehensively in a peer-to-peer network using a decentralized blockchain-based system. The system involves copyright handling apparatuses, license processing apparatuses, and blockchain processing apparatuses that store feature metadata, license info, and copyright transactions. Rights defense detection service apparatuses query these blockchains to obtain rights-to-be-defended content features and licenses. They then perform rights defense detection on digital content using the acquired features and licenses.

Source

Searching for and regulating trademark violations in content items distributed by online systems, by allowing trademark owners to use their official trademark information to search for content using their trademark illegally, by performing refined text and image searching techniques to yield the most accurate results and suggestions.

Source

Detecting reverse engineering of printed circuit boards (PCBs) to prevent unauthorized copying and protect intellectual property. The technique involves encoding a signature or serial number into the PCB layout by slightly modifying the wiring traces. This encoding doesn't impact functionality but allows the detection of copied boards. By checking the traces against the original layout, unauthorized duplication can be identified.

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

Tracking the copying of printed materials owned by rights holders to detect unauthorized copying and compensate rights holders. It uses image processing to match copies against a database of copyrighted materials. Images from copiers are processed to obtain digital fingerprints that are compared with fingerprints of copyrighted images. Matches indicate copying of copyrighted materials. This enables automated monitoring and enforcement of copying permissions.

Source

Automated system for analyzing digital media content like movies, TV shows, and video games for legal clearance of copyrighted or protected elements. The system uses machine learning to scan the content and identify items that may require copyright clearance, such as images of people, objects, or music. It uses neural networks to analyze and compare images, audio, and text in the content against known copyrighted or protected items. The AI system can automatically scan and flag content elements that may require clearance. This helps automate the legal review process for media production.

Source

Monitoring potential patent disputes using AI to proactively identify and alert companies of potential infringement risks. The system periodically checks newly added patents and filters out ones related to target companies. It then determines if the target patents match the target company's patents or products based on patent type. If so, it flags a potential dispute and generates an alarm. This allows companies to quickly assess and address potential infringement risks before they escalate.

Source

A system to monitor and control access to copyrighted material to ensure compliance with copyright laws. The system uses a database of copyright rules and meters the amount of material accessed to quantify its use. Access is permitted based on the copyright rules.

Source

An illegal content searching system that detects illegally distributed contents, such as webtoons, sound sources, books, and videos, including web information that uses a modified keyword, to protect a copyright holder and teenagers. The system uses a crawler that accesses websites, collects web information, and identifies modified keywords to detect illegal copies. It also uses a distributed network of crawling servers with unique authority information to consistently monitor and detect illegal content across international sites.

Source

A system and method for objectively determining patent infringement without the need for expert consultation. The system receives registered patent claims and a target invention configuration. It compares components between the claims and target to determine identity. Then, it determines infringement based on the component identity. This allows filtering out unlikely infringements and focusing resources on more likely ones.

Source

Efficiently prompting and handling intellectual property infringement by using machine learning to match rights protection strategies to suspected infringers based on historical data. The method involves crawling web pages, filtering for infringement suspects, matching strategies using a model, and feeding back strategies to users. It also involves monitoring tasks and sending timely infringement alerts.

Source