AI驱动下的知识产权保护系统设计与实现

Design and Implementation of Intellectual Property Protection System Driven by AI

随着信息技术的发展,知识产权保护成为各行业的关注重点。传统手段难以应对复杂信息中的侵权监测。为此,本文设计并实现了一种基于人工智能(Artificial Intelligence,AI)驱动的知识产权保护系统,利用卷积神经网络(Convolutional Neural Networks,CNN)和区块链技术,高效检测和验证文本与图像中的潜在侵权行为。实验表明,该系统在准确性和处理效率上优于传统方法,展现了AI技术在知识产权保护中的重要作用。

With the development of information technology,intellectual property protection has become the focus of attention in various industries.Traditional means are difficult to cope with infringement monitoring in complex information.To this end,this paper designs and implements an artificial intelligence(AI)-driven IPR protection system,which utilizes convolutional neural networks(CNN)and blockchain technology to efficiently detect and verify potential infringements in text and images.Experiments show that the system outperforms traditional methods in terms of accuracy and processing efficiency,demonstrating the important role of AI technology in intellectual property protection.