Facial Recognition: The Game-Changer for Your Business

Face Matching Application - On-Premise Solution for Secure and Accurate KYC Face Matching

Welcome to our advanced face matching application, specifically designed to meet the face matching needs of banks and financial institutions. We understand the importance of confidentiality in KYC processes, which is why our application provides an on-premise solution. With our trained model and expertise in handling low-quality datasets, such as Photo ID documents, we offer exceptional accuracy in face matching.

Banks and financial institutions often require face matching processing to be performed on their own cloud to ensure the confidentiality of KYC documents. Our face matching application offers an on-premise solution, allowing you to process customer face matching without relying on external APIs or exposing sensitive data. With our secure approach, you can have peace of mind knowing that the face matching process remains within your infrastructure.

Benefits for Banks and Financial Institutions

Improved Fraud Detection

By leveraging our trained model's ability to handle low-quality datasets, banks and financial institutions can enhance their fraud detection capabilities. Our face matching application identifies and matches faces even in challenging scenarios, minimizing the risk of identity fraud and ensuring the integrity of your customer verification processes.

Efficient Handling of Low-Quality Datasets

We have trained our face matching model using a large dataset to ensure accurate results, even when dealing with low-quality datasets such as Photo ID documents. Our application excels in scenarios where traditional face matching systems struggle. By leveraging advanced algorithms and deep learning techniques, we can analyze and match faces from challenging images, resulting in reliable face matching outcomes.

Enhanced Training with Video KYC

Our face matching application revolutionizes your KYC processes by utilizing customer Video KYC as training input. Unlike other market API services that need customization to accept Video KYC files, our application is purpose-built to meet this requirement. By incorporating selfie-mode photos and Photo ID documents from Video KYC, our model achieves precise face matching using real-time data, ensuring superior results.

Minimized False positive and false negative cases

While automated face-matching systems offer convenience, they are not infallible and can occasionally produce false positives and false negatives. However, with Scalligent Face Matching, you can expect minimal false positive and false negative cases. False positives can lead to unauthorized access to secure facilities or undeserved privileges. On the other hand, a false negative occurs when the system fails to match the face of the person presenting their ID to the photo in the ID, despite being the same individual. Our advanced technology ensures a false positive rate of 0% and a false negative rate of just 2.30%. This means that our system provides highly accurate face matching results, reducing the risk of granting access to unauthorized individuals or failing to recognize legitimate users.