# Performance Overview **Recognito's ID Document Liveness Detection SDK** is a reliable solution for detecting fraudulent identity document presentation. Designed for digital onboarding, it ensures authenticity and prevents misuse with advanced AI capabilities. ## Comprehensive Fraud Detection • **Screen Replay Attacks:** Detects when a document is presented on a digital screen such as a monitor, tablet, or mobile phone. • **Printed Copy Attacks:** Identifies documents that are photocopied, printed on paper, and cut to size (not applicable for documents originally printed on paper). • **Portrait Replace Attacks:** Recognizes documents with altered facial images, such as overlays or replacements. ## Key Features 1. **Universal Detection Capability** • Detects document liveness across a wide range of identity documents, globally. • Requires no prior training on document templates, making it universally applicable. 2. **Passive, Single-Image Approach** • Utilizes advanced neural network technology to analyze a single document image. • No complex instructions or changes to existing user interfaces are required, ensuring easy adoption and user convenience. 3. **Ease of Integration** • Flexible Deployment: Deployable on-premises or in your cloud environment using Docker or SDK. • Seamless API Integration: Works with a single API call and uses the document image already collected during onboarding, ensuring smooth integration into your digital onboarding tech stack. 4. **Accuracy and Reliability** • Near-complete detection accuracy ensures fraud is minimized without compromising the user experience. • Developed by expert data scientists using state-of-the-art neural network models. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.recognito.vision/id-document-liveness-detection-sdk/performance-overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.