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The advanced proprietary AI/ML solution as Anti-fraudTensorlink4cheque (AFTL4C) for Cheque fraud detection
- Author(s):
- Prabhakara Uyyala (see profile) , Dr. Dyan Chandra Yadav
- Date:
- 2023
- Item Type:
- Article
- Permanent URL:
- https://doi.org/10.17613/v18z-ff84
- Abstract:
- The Anti-fraud-Tensorlink4cheque (AFTL4C) is a new AI/ML-based solution developed to detect cheque fraud in real-time. Cheque fraud has become a major issue for financial institutions, resulting in millions of losses due to fraudulent activities. The AFTL4C solution uses Generative Adversarial Network (GAN) technique to compare various factors on scanned cheque images to identify potential counterfeits in real-time. The model assigns a confidence point to each object of the scanned cheque image, which can be good, fraudulent, or requiring further review. The AFTL4C model is scalable, configurable, and can detect fraud during realtime transactions, making it more accurate in identifying genuine behavior and reducing false positives. The AFTL4C solution can process up to 1,800 checks per second, with end-to-end response times of less than 62 milliseconds. The solution is designed to reduce the incidence of check fraud, speed up cheque counterfeit verification, lower costs, and minimize the number of checks requiring manual review. The AFTL4C model is highly efficient, automatic, and detects fraud in real-time, reducing the amount of money paid out to fraudsters and the cost of cheque processing.
- Metadata:
- xml
- Published as:
- Journal article
- Status:
- Published
- Last Updated:
- 4 months ago
- License:
- Attribution-NonCommercial
- Share this:
Open access, open source, open to all
246-ijaema-april-2023.pdf