Video eye Biometric Authentication Mobile App

@joomextensions

Hi, I can build this in Flutter for iOS and Android. The app captures a short front-camera video, runs liveness checks with ML Kit face detection (blink, head turn and texture cues) to reject photos and screens, then creates a face embedding with a TensorFlow Lite model (MobileFaceNet) and compares it to the enrolled template. Templates are stored encrypted on device in Keychain/Keystore or on an encrypted backend, your choice. On-device inference keeps the pass/fail result well under three seconds. You get full Flutter source, setup notes, and a threshold config to tune accuracy. Note that native Face ID APIs cannot use a custom reference face. Regards, Harsh Thoriya

@OutsourceMan

Hi, CnEL India can develop the cross-platform mobile application using React Native and integrate a suitable secure facial recognition and liveness solution based on your accuracy and response-time requirements. Our methodology: * Review the authentication workflow, reference-template handling and protected-content flow. * Build the React Native iOS/Android application around the supplied designs. * Evaluate a suitable liveness/face-recognition SDK or computer-vision approach based on accuracy, device support and latency. * Implement short live-video capture with secure processing. * Compare the captured biometric data against the authorized reference template. * Add anti-spoofing/liveness checks and clear pass/fail states. * Keep sensitive biometric data encrypted in transit and at rest where backend storage is required. * Implement secure APIs, authentication, validation and session handling. * Optimize the recognition workflow toward the requested sub-three-second response. * Test different lighting, angles, devices, camera conditions and failure scenarios. * Prepare iOS/Android builds and clean source code. * Provide setup documentation and a test plan covering liveness checks and acceptance criteria. We recommend starting with a small POC to validate the recognition engine, liveness approach and response time before completing the full application.

@ciss26

Hello there, Hope you are doing well We would be interested in developing your cross-platform video-based biometric authentication app for iOS and Android, with the primary focus on reliable face verification, liveness detection, speed, and secure biometric data handling. Proposed Technology Stack Mobile: Flutter + Dart Native Integration: Swift (iOS) + Kotlin (Android) through platform channels where required Computer Vision: Apple Vision / ML Kit / OpenCV / TensorFlow Lite, selected after benchmarking Camera: Native camera APIs with optimized video capture Backend: Node.js + NestJS, if server-side verification is required Security: TLS, encrypted storage, secure key management, biometric template protection Key Features Live face detection and tracking Liveness / anti-spoofing checks Face quality and positioning validation Face enrollment/reference-template creation 1:1 face verification Secure local or encrypted backend template storage Camera permission and failure handling Low-light and varying-angle handling where supported by the selected engine Timeout, retry and fallback flows

@jayantkumar314

Being a Senior Software Engineer with a focus on mobile app development, I believe my skills align perfectly with your project's unique requirements. I have abundant experience creating cross-platform apps, including successful deployments on both iOS and Android. My proficiency in React Native offers the added advantage of building a robust, liveness-aware facial biometric module that will capture videos with minimal delay and return accurate results in under three seconds- just as you require. Notably, efficiency and accuracy are paramount for your project; my extensive use of computer vision libraries such as ML Kit, OpenCV, TensorFlow Lite back this core requirement. In conclusion, I am fully able to deliver a cutting-edge mobile application that complies with all your needs while offering robust security through video eye biometric authentication. Looking forward to working together on this revolutionary project!

@sanjana22kr

hello there I can build the cross-platform iOS/Android app with a secure, fast liveness-aware facial verification flow, designed to return a pass/fail result within the required 3-second window. Core Implementation Flutter-based single codebase for iOS + Android. Live camera capture with face detection and liveness/anti-spoofing checks. Face matching against an encrypted on-device template or secure backend. Clear pass/fail states with protected-content access control. Support for native Face ID/Biometric APIs or a replaceable CV engine such as ML Kit/TFLite/OpenCV. Secure API communication, encrypted biometric data handling, and minimal retention. Handling of poor lighting, multiple faces, camera permissions, unsupported devices, and failed verification. I’ll structure the biometric module independently so the recognition provider can be replaced later without rebuilding the application architecture. looking forward to work with you thanks

@artechvisionn

Hey! I can handle this easily. Building a cross-platform mobile app with biometric eye authentication fits well with my skills in React Native and computer vision. I have experience integrating face and eye recognition features using OpenCV and related libraries, ensuring smooth, secure, and user-friendly authentication on both iOS and Android. How I would approach it: 1. Understand your exact biometric requirements and security standards. 2. Set up eye recognition using OpenCV or native APIs for accuracy and speed. 3. Develop the app in React Native for a single codebase with native modules to handle biometric processing. 4. Test thoroughly on both platforms to ensure reliability and privacy compliance. I’ve worked on apps involving AI and biometric features, like HalalChecker AI Food Scanner and SpeakPal AI, where accuracy and responsiveness are key. Can you share more details about the authentication flow and any backend integration needed? Also, any specific security protocols or compliance requirements? Aakash

@dushyant317

We can develop your secure cross-platform facial biometric app using Flutter with native iOS/Android integrations, combining live video capture, liveness detection, face matching, and encrypted biometric storage. We’ll evaluate suitable SDKs such as ML Kit, TensorFlow Lite, or a dedicated liveness provider to target verification within three seconds, with protection against photo and video spoofing. Our team will deliver the complete source code, build instructions, modular SDK integration, and a documented test plan covering accuracy, security, and performance.

@jafarali14

Hi Sir Madam I am a Flutter developer with 5 plus years of experience building secure cross platform apps with authentication, camera features and API integrations. I recommend Flutter with native iOS and Android integration for this project, giving one codebase while supporting platform specific biometric and camera capabilities. Skills Flutter Dart iOS Android native integration Camera and video processing ML Kit OpenCV TensorFlow Lite Secure authentication and API integration Encrypted storage I can build the complete verification flow including live video capture, liveness checks, face matching and pass or fail access control. I will select the recognition approach based on your accuracy, speed and deployment requirements and keep sensitive biometric data securely handled. I will optimize the verification flow for the requested response time and cover camera permissions, failed verification, invalid matches and edge cases. I will also provide a test plan with clear liveness success criteria. Final delivery will include complete Flutter source code, native configuration, setup documentation and project files so the recognition engine can be changed later if required. Published apps EasyBalance App Store Wynette Logistics App Store MyKidsEdu App Store We can discuss the recognition engine, backend flow and target devices in chat. Thanking you All the very best Cheers

@UzeeTech

Gating protected content behind live video-based face recognition is the right call — a static photo check is trivially spoofed, while a liveness-aware module verifying a real, present face in under three seconds gives real security without hurting UX. I would build this in Flutter so one codebase ships to iOS and Android, using ML Kit for fast on-device face detection plus active liveness checks — blink, head movement and texture analysis — to defeat spoofing. Matching would run against encrypted on-device templates, returning a pass/fail result in under three seconds. I would deliver clean source, setup notes and a test plan with each liveness check and its success criteria. I shipped Jyotish AI, a live Android plus web app with real-time data and its own backend — directly relevant here. Two questions: should templates live on-device or in your encrypted backend, and is passive liveness enough or do you need active challenge-response? I can start with the biometric module architecture.

@GobindSawarn

What if we use aadhar face rd for verification of real person basically in india aadhar face rd use iris detect feature match aadhar db and verify user then only the user is allowed to enter the app

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Python, and similar tools. I have worked with pytorch, and tensorflow to develop DL models, .I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@softwarelinkerrs

Operating at the intersection of innovative technology and robust security, I am nitin flexibly, Resourcefully & efficiently delivering projects such as yours. With over a decade of experience as Mobile App Developer, I have not only cultivated an impressive set of skills and cross-platform proficiency but also acquired invaluable experience in developing intricate & secure mobile applications with biometric features. Our Softwarelinkers team has built apps far more complex than facial recognition-based verification systems, our track record evidences that fact. We've project-managed across a variety of industries, from education to insurance and corporate; successfully integrating varied technologies to satisfy widely differing needs. As a full-stack expert, I can assure you provision of comprehensive services, including backend database development & integration with your PHP RESTful API. Moreover, my team specializes in keeping up-to-date with the latest security standards to ensure end-user safety. Your need for liveness-aware facial biometric module aligns perfectly with our strengths. We are skilled in using APIs like Face ID or we could even create a tailor-made solution using ML Kit or OpenCV—depending on your preference—tuned for accuracy and speed rather than favoring any single library.

@ashinnd84

Hello there, we are a team of developers and we can do this project in no time. Thanks Ashish Kumar.

@bridgestonetech1

Hi, I reviewed your requirements and can build a cross-platform iOS + Android app with live-video face verification and liveness detection. We’ll focus on real-face detection, secure face-template matching, encrypted data handling and a pass/fail result within the 3-second target, with the verification layer kept modular so the recognition engine can be replaced later. Recommended Stack: Flutter + native iOS/Android biometric/CV integration Deliverables: Production-ready app, complete source code, build setup notes and liveness test plan Timeline: 3–5 weeks Relevant work: React Native/Flutter | secure authentication | API-integrated mobile applications Let’s discuss the requirements and get started.

@sumitsthakur

I can build your cross-platform mobile application using React Native to deliver a single codebase that runs smoothly on both iOS and Android. To achieve the core requirement of a robust, liveness-aware facial biometric module that returns a pass or fail result in under three seconds, I will integrate a reliable computer-vision framework or SDK capable of handling live video capture, liveness verification, and face comparison. My approach focuses on performance, accuracy, and seamless integration with either your encrypted backend or on-device storage. You will receive the fully functioning mobile application with complete source code, clear setup notes for building and swapping the face-recognition engine, and a concise test plan outlining the liveness checks and success criteria. Let us discuss the mock-ups, API keys, and server endpoints to get started.

@KarthikTechCon

Hello! I’m Karthik, a seasoned developer with over 15 years of experience in mobile app development. I am excited about the opportunity to create your cross-platform mobile app for video-based face recognition. I have extensive expertise in implementing biometric solutions and can leverage advanced computer vision frameworks like ML Kit, OpenCV, or TensorFlow Lite to ensure a robust and efficient liveness-aware facial biometric module. My focus will be on delivering a solution that provides accurate results in under three seconds, ensuring a seamless user experience. Upon project completion, you will receive: - A fully functional mobile app for both iOS and Android. - Source code and project files for easy management and updates. - Comprehensive setup notes for building and modifying the app as needed. - A concise test plan outlining the liveness checks and their success criteria. I am ready to start immediately and look forward to collaborating with you. Let’s bring your vision to life! Best, Karthik *Bid Amount: ₹220,000 INR*

@arshig8

Hi, I have read all your requirements very well and I’m really excited to work with you on this project. I understand that the key priority is not just face recognition, but spoof-resistant liveness detection, accurate matching, fast pass/fail results, and secure biometric handling across both iOS and Android. I can build this as a cross-platform app using Flutter or React Native, with a suitable CV/biometric engine such as ML Kit, OpenCV or TensorFlow Lite based on performance testing. I’ll also provide clean source code, setup documentation and a test plan covering liveness scenarios. A few questions: Do you already have the reference face template/enrollment flow defined? Should biometric data remain fully on-device, or can encrypted backend storage be used? Do you have a preferred Flutter/React Native or recognition SDK? Let’s connect on a chat to discuss well. Let's connect; waiting for your response. Best regards, Arshiya

@juanestebana17

Hey , Good morning! I am an expert mobile computer programmer with skills including Flutter, iPhone, React Native, iOS, Face Recognition, Objective C, Computer Vision, OpenCV, Mobile App Development and Android. Please send a message to discuss more regarding this project. Your Sincerely

@yashvendra79

Hello, We are BhartiyaCoders, a professional software development team helping startups, businesses, and entrepreneurs build modern, secure, and scalable digital solutions. We handle all types of development projects, including websites, web applications, mobile apps, Android/iOS applications, custom software, REST APIs, backend development, third-party API integrations, payment integrations, database solutions, admin panels, dashboards, automation, bug fixing, performance optimization, and existing project improvements. Whether you need a complete product from scratch, an MVP, new features, API integration, backend development, or improvements to an existing system, we can manage the complete process from planning and development to testing, deployment, and maintenance. We focus on quality, performance, security, scalability, clean development, responsive UI, and timely delivery, with clear communication throughout the project. Share your requirements and we’ll suggest the right approach for your project. Let’s build something reliable and successful together. Best Regards, BhartiyaCoders