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- W3101671770 abstract "Driven by technologies such as deep learning and blockchain, financial service industry has made rapid improvements in recent years. Mortgage loan is the main profit-making means of commercial banks, but there are many problems such as manpower cost, insufficient accuracy and evaluation of collateral. To cope with those problem, Artificial Intelligence (AI) and blockchain have been widely exploited. However, the monitoring of collateral is image recognition in dynamic video and it is difficult to avoid the risk of security attack. In this paper, we design a blockchain empowered method to achieve dynamic target detection and automatic monitor, which the change of target location and quantity can be detected by deep learning and recorded in blockchain. Meanwhile, if risk is detected, it will automatically trigger the alarm smart contract to realize automatic monitoring. We further implement a software prototype on fabric framework with real-world scenarios. Experiment results from real-world images show that the feasibility, usability and scalability of our proposed dynamic target detection and automatic monitor scheme for mortgage loan." @default.
- W3101671770 created "2020-11-23" @default.
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- W3101671770 date "2020-01-01" @default.
- W3101671770 modified "2023-09-23" @default.
- W3101671770 title "Trustworthy Dynamic Target Detection and Automatic Monitor Scheme for Mortgage Loan with Blockchain-Based Smart Contract" @default.
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- W3101671770 doi "https://doi.org/10.1007/978-981-15-9213-3_33" @default.
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