Cross-Platform Liveness Detection SDK

@erankitniist

Hello, I can help you with building the iOS and Android native SDK's. iOS will work myself and for Android my teammate will work. iOS: Core ML (mlmodel) using Core ML 4 / neural engine (ANE), Vision Framework Android: TFLite with NNAPI/GPU delegate (or OpenGL ES shader where needed). My tentative timeline is 30-45 days.

@Rahulsingh5xz

Hello, I’m Rahul Singh from Team Velora, running successfully for 3 years. We specialize in AI and computer vision SDKs for mobile platforms. Please message me privately to see relevant examples of real-time face detection and liveness-detection frameworks we’ve delivered. We will provide production-ready iOS and Android SDKs, fully silent, with structured JSON outputs, high accuracy, and sample apps demonstrating all required detection scenarios.

@dushyant317

I bring 13 years of professional experience delivering high-quality results. I have strong expertise in all the required skills listed for this project. My approach ensures accuracy, clear communication, and timely delivery. I am confident I can exceed your expectations with efficient, reliable work. Looking forward to contributing to your project—ready to begin immediately.

@SashaDev1

Hi there, I'm excited about your liveness-detection SDK project! I've successfully delivered real-time facial analytics solutions that required strict detection of single, live faces and confidently handled edge cases like multiple users, obstructed faces, and spoofing attempts. My previous work includes integrating fast, silent liveness detection into both iOS and Android, ensuring high accuracy and comprehensive JSON responses for host apps. I can craft robust libraries with simple, unified APIs across platforms, provide clear documentation, and deliver sample apps plus test assets for straightforward validation. Let’s chat about tailoring my proven approach for your mid-range device requirements and specific silent use case! Best regards, Oleksandr

@himanshus642

With extensive experience in AI and automation development over the past 5+ years, I am well-equipped to design and deliver the liveness-detection SDK solution of your needs. My specialization lies in mobile app development for both iOS and Android platforms - offering compatibility and consistency across the board is my forte. Liveness detection, one of the core functions called upon in this project, is an area I'm well-versed in. Having worked on similar projects before, I've not only achieved real-time (≥25 fps) performance on mid-range devices but have also ensured high classification accuracy for scenarios like face masks and silent-spoofs. This guarantees that the SDK I'll design for you will meet your expectations while being future-proof. Furthermore, my end-to-end project handling skills mean that from designing the SDK, creating necessary documentation, building sample apps to deploying them on your test devices - I’ll handle it all. As seen in my previous work, my approach emphasizes clean code for scalability and realizable milestones ensuring a successful project completion. Together, we can build a powerful cross-platform solution that meets your stringent acceptance criteria while delivering impactful results. Let’s create something intelligent together!

@AashuPathak231

As someone experienced in both iOS and Android development, I can assure you that I have the knowledge and skills needed to create a high-performance, cross-platform liveness detection SDK, with a strong emphasis on your objective of complete user transparency. My previous incorporations with functional and automation testing align perfectly with your requirements of core detection logic. My understanding of test execution suits and identifying root causes will help ensure that only one live face is recognized in each frame. Moreover, I will develop the SDK to reject any frames that do not confirm an individual is looking directly at the camera, detect closed eyes, open mouth or a face mask whilst maintaining real-time processing on mid-range devices. In terms of deliverables, my ability to create test cases extensively will provide you with thorough documentation as you require for build settings, permissions and best-practice thresholds. Rest assured, I will perform rigorous testing throughout development and provide proof of correct behavior in form of short video clips or test suite. Lastly, I understand the importance of accuracy so I am open to custom-training or fine-tuning existing models for performance enhancement if necessary; thus ensuring all rule misclassifications stay well below your acceptance criteria threshold.