Prototype Developer Needed for Vision Tech

@Mahihassi

Drawing on my comprehensive experience as an Electrical Engineer and a Master's graduate in Embedded Systems, I offer deep expertise in the very core areas you require, making me an ideal candidate for your project. From my familiarity with multiple microcontrollers (including but not limited to STM32, ESP32, and TI Tiva) proficiency in languages such as C++, proficiency OpenCV and TensorFlow Lite for computer vision prototypes. Collaboration in embedded/mobile video pipelines brings me a unique insight into real-time video processing within Android platforms, all of which are fully aligned with your project's scope. Moreover, my repertoire also includes extensive skills in PCB design, firmware development, and RF hardware implementation. Such skills will definitely be of great value to you given the nature of your project that demands precise testing and validation activities in the initial phase which includes building a working prototype using mediums like Android devices/webcam/test camera and integrating with your custom camera SDK later. I am also adept at using open source tools such as MediaPipe and YOLO; skills which I believe will be advantageous to swiftly deliver you a well-performing prototype in less than 4 weeks.

@efanntyo

★ Hi there, I’m excited about your Vision Tech prototype and the opportunity to collaborate on Phase 1 (Prototype) for real‑time head tracking and auto‑zoom on mobile/embedded platforms. With a strong background in computer vision, mobile vision pipelines, and edge‑centric AI, I bring hands‑on experience building robust prototypes using open‑source toolchains (MediaPipe, TensorFlow Lite, OpenCV) and delivering repeatable performance on Android devices and lightweight hardware. While you’re in the R&D phase awaiting hardware/SDK access, my approach is to deliver a polished, ready‑to‑demonstrate prototype that validates core features and sets a clear path toward production integration. Why I’m a strong fit • Real‑time head/face detection and automatic head tracking: I’ve implemented robust head/face detection and tracking loops on mobile devices, optimizing for low latency and resilience to lighting variations. I leverage MediaPipe face detection + custom Kalman/optical flow‑based tracking to keep the head centered with smooth transitions. • Auto zoom / smart cropping: I’ll implement a dynamic zoom/crop strategy that maintains a consistent head size in view, with configurable margins and motion‑compensation to minimize jitter. This includes a lightweight zoom estimator and frame‑to‑frame stabilization logic. • Real‑time performance: Targeting ≥15 FPS on contemporary Android devices with a clean C++/JNI‑based pipeline (NTX/NDK) and hardware‑accelerated paths (NNAPI, MediaCodec)

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( BUILD COMPUTER VISION PROTOTYPE FOR HEAD TRACKING AND AUTO ZOOM ))⚜⭐⭐⭐⭐⚜ Your project caught my attention because it focuses on real R&D validation before hardware finalization, which is exactly the right approach. I understand you need a working prototype on standard Android or webcam hardware that can detect a face in real time, keep the head centered, and maintain consistent size through smart auto zoom with smooth motion. You are looking for someone who can experiment with open source vision stacks like MediaPipe or OpenCV, deliver stable performance above 15 FPS, and also think ahead about later integration with an Android based smart mirror and custom SDK. I have worked on video processing pipelines where real time tracking and cropping logic were the core challenge, which makes me a strong match for this phase. Three most important feature of the project 1. Live head detection with reliable tracking 2. Auto zoom with smooth transition logic 3. Prototype optimized for mobile performance I would be happy to discuss your expected timeline and show similar vision experiments I have done. Let us connect and shape this into a solid foundation for Phase two. Warm Regards, Farhin B.

@brayanstiven5

Hi, there, I specialize in computer vision and mobile vision development, with a focus on prototype creation and validation. Leveraging tools like MediaPipe, TensorFlow Lite, and OpenCV, I excel in real-time head/face detection, automatic head tracking, and auto zoom functionalities. With your project, I will swiftly transition from Phase 1 to Phase 2 by delivering a robust prototype that meets the specified criteria, setting the stage for seamless integration with the custom camera SDK.✅ I'll start by developing a working demo on my Android device, demonstrating live head tracking, real-time auto zoom, and stable performance exceeding 15 FPS.✅ Subsequently, I will provide the full source code, build instructions, and a demo video showcasing the prototype in action.✅ Next, I will explain how the prototype will integrate with the custom camera SDK, ensuring a smooth transition to the production system.✅ To conclude, I will ensure efficient integration with the Android-based smart mirror, custom SDK, and real-time video processing pipelines. I look forward to working with you. Best Regards, Brayan

@ayesha0124

Hi, I’m excited to assist you with your computer vision prototype for the head tracking and auto-zoom functionality. With extensive experience in machine learning and real-time video processing, I am confident in my ability to deliver a robust prototype that meets your project requirements. I have successfully developed similar projects using tools like MediaPipe, TensorFlow Lite, and OpenCV, and I will leverage these technologies to create a working demo on my own hardware. The prototype will include live head tracking and real-time auto zoom, optimized to maintain a consistent head size with a target performance of 15 FPS or higher. My plan is to provide you with the full source code, detailed build instructions, and a demo video showcasing the prototype's capabilities. I anticipate completing this phase within 14 days.

@a4logic

Hello, As the lead developer and co-founder of Our Software in Pakistan, I have been at the helm of various successful projects involving computer vision, machine learning, and mobile app development, which perfectly aligns with the core requirements of your vision technology project. Our team comprises high-end professionals who have exceedingly contributed to the development of informational technologies, e-commerce apps and more. Specifically, I have hands-on experience with TensorFlow Lite, MediaPipe, OpenCV and other relevant tools which are crucial to your project. We have successfully worked on and delivered several projects similar to yours with outstanding results. For example, we helped develop an image recognition system for an augmented reality tour application we built for a leading cultural institution. Regarding Phase 1 of your project, I'm quite confident in meeting your demands within a reasonable timeframe as our team is well-versed in working with these open-source tools and prototyping on multiple devices/platforms. I assure you a highly performant prototype by delivering well-commented source code together with comprehensive build instructions that demonstrate live head tracking and auto-zoom features. Lastly, in terms of our rate we are not only competitive but truly want to forge a long-term technical relationship with your company. Given that this is a vital R&D phase precedting the final integration enda Thanks!

@codefusion53

Hi I can build a solid Phase 1 computer vision prototype to validate real time head tracking and auto zoom before your hardware and SDK are finalized. I have experience prototyping vision pipelines using MediaPipe, OpenCV, and TensorFlow Lite, with a strong focus on real time performance, stability, and clean handoff for later native integration. For this R and D phase, I would implement live head or face detection, tracking to keep the head centered, and dynamic zoom or smart cropping to maintain consistent head size. The prototype would run on my own Android device or webcam, target at least 15 FPS, and demonstrate smooth motion without jitter. I will structure the code clearly and explain how the logic can later be migrated into an Android NDK based pipeline using a custom camera SDK and higher resolution streams. You will receive full source code, build instructions, a short demo video showing live performance, and a technical walkthrough explaining integration considerations for your future smart mirror system. I am interested in this as a longer term collaboration beyond the prototype phase. Best, Justin

@mobiwebsolutions

Hi There!!! THE PROJECT GOAL IS TO BUILD A REAL TIME COMPUTER VISION PROTOTYPE FOR HEAD TRACKING AND AUTO ZOOM TO VALIDATE CORE R AND D FUNCTIONALITY BEFORE HARDWARE INTEGRATION. I have carefully studied your project description covering real time face and head detection, smooth tracking, auto zoom logic, FPS stability, prototype on personal hardware and future Android NDK based smart mirror integration. I am best fit because I have strong hands on experience in real time mobile vision pipelines and early stage prototype validation. Live face and head detection with tracking, smart auto zoom and cropping logic, smooth motion handling with stable frame rate. Prototype app development, algorithm design, database free lightweight architecture, testing, build instructions, demo video and full source code delivery. I have 9+ years experience as a full stack developer. I have done similar projects like face tracking camera apps, auto framing video systems, MediaPipe based mobile vision prototypes and OpenCV Android NDK integrations. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@hayat38402

Hi, how are you doing? I went through your project description and I can help you in your project. your project requirements perfectly match my expertise. We are a team of expert engineers, we have successfully completed 1000+ Projects for multiple regular clients from OMAN, UK, USA, Australia, Canada, France, Germany, Lebanon and many other countries. We are providing our services in following areas:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text analysis model and Reinforcement Learning.  Omnet++ and Sumo simulation,  Python/ MATLAB  Asterisks PBX  NS3 simulation  Linux We'll make sure that your project is done in a perfect way and do our best until you were satisfied. I am confident I can provide you with top-notch materials that will fit your needs.

@arbu1499

Hi there, I understand you’re validating real-time head tracking and auto-zoom logic before locking hardware, and this Phase-1 prototype is all about proving stability and integration readiness. I’ve built similar mobile/embedded CV demos using MediaPipe, OpenCV, and TensorFlow Lite with live tracking, smart cropping, and smooth motion at real-time FPS. I can deliver a working Android/webcam prototype with full source code, build steps, a demo video, and a clear explanation of how this maps cleanly into an Android NDK + custom camera SDK pipeline. Looking forward for your positive response in the chatbox. Best Regards, Arbaz T

@sekai1116

Hello, This is a strong and realistic R&D brief, and I like that you are validating algorithms before the hardware SDK arrives. I work with real-time vision pipelines on mobile and embedded systems and have experience using MediaPipe, TensorFlow Lite, OpenCV, and native acceleration to keep detection, tracking, and framing stable at interactive frame rates. Building on my own Android device or camera for Phase 1 is perfectly fine — the important thing is proving robustness, latency, and predictable behavior under movement. For the prototype, I would deliver live head detection, continuous re-centering, adaptive zoom/crop to maintain perceived size, and smoothing logic to avoid jitter or aggressive jumps. Along with the code and demo video, I’ll clearly explain how the modules map to a future pipeline with your Wi-Fi camera feed, 4K input, and an eventual NDK/C++ integration (buffer handling, threading, scaling strategy, hardware codecs). My focus is to make sure what we build now survives the transition to production rather than being a throwaway demo. I’m happy to grow this into Phase 2 once the SDK is available. Best regards, Jiayin

@haseebsidd07

Hey , Thank you for sharing the job details. After going through the description, it’s clear you need someone confident with Computer Vision, Matlab and Mathematica, Java, OpenCV, Mobile App Development, C++ Programming, Embedded Systems and Android and can deliver clean, reliable results. That is exactly the kind of work done day to day, so this project is a great fit. Before getting started, there are a few points that would really help shape the best solution for you: Are all the mentioned skills and features mandatory, or is there any flexibility in the tech stack and scope? Is there any existing code, design, or documentation available, or should this be developed completely from scratch? What is your ideal timeline and any hard deadlines for milestones or final delivery? Why work with me? 1. More than 250 major projects completed, including complex, long-term engagements. 2. No negative feedback over the last 5 to 6 years, reflecting consistent quality and reliability. 3. 100+ recent major projects with 5-star reviews, showing that clients are not only satisfied but return with more work. Availability: 9 AM to 9 PM Eastern Time (full‑time freelancer, easy to collaborate and quick to respond). Recent, relevant work samples will be shared privately to protect client confidentiality. Please start the chat so we can finalize the project details, expectations, and the best execution plan. Regards, Haseeb.

@vanhuy19892011

Hi! I specialize in real-time computer vision on Android with deep experience using MediaPipe, TensorFlow Lite, and OpenCV. I’ve previously built prototypes with real-time head tracking, smooth zooming, and stable frame rates for mobile AR and smart camera applications. For Phase 1, I can build a working demo on Android using MediaPipe + OpenCV, ensuring ≥15 FPS performance. I’ll deliver: Full source code Build instructions A real-time video demo A clear integration plan for your future SDK Timeline: ~7 days

@phpxpert89

Hello Colin B., I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on Java, Mobile App Development, Android, Matlab and Mathematica, C++ Programming, OpenCV, Embedded Systems, Computer Vision We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz

@miscman

With comprehensive skills in Android, C++ Programming, Embedded Systems and Java coupled with a strong familiarity with Computer Vision and Machine Learning techniques, I am confident that I have precisely what it takes to deliver your computer vision prototype. My enriched background in developing real-time AI solutions for decision-making and streamlining processes aligns seamlessly with your project requirements. I have a proven record of successfully developing similar projects in the field of computer vision and machine learning. For example, (describe a fitting project) where I utilized TensorFlow Lite, OpenCV, and MediaPipe to effectively implement real-time head tracking and auto zoom functionalities, among other core abilities. Drawing from these experiences and my mastery in Android NDK and Native pipelines for mobile video processing, I am ready to build a working demo on my hardware that lives up to your expectations. My estimated timeline for phase one is (give your timeline) considering the challenges presented by unavailable final hardware or SDK access. Rest assured, I prioritize delivering clean, tested and well-documented code within set timelines. My rate is competitive for senior-level expertise at ($Rate). However, beyond just delivering outputs efficiently, I aim to ensure we have a long-lasting technical relationship. Let's collaborate today and transform your vision tech into reality

@Rekhathakur

Dear Client, As an experienced and versatile Android developer, I am confident that I possess the necessary computer vision and mobile vision skills to execute your project successfully. My robust familiarity with advanced libraries such as Tensor Flow Lite, Media Pipe, and OpenCV would be instrumental in developing a reliable prototype for your head-tracking and auto-zoom feature. Additionally, my proficiency in real-time video processing using Android NDK and Native pipelines is an assurance of stable performance even at higher resolution. In a past project, I tackled a similar challenge wherein my team developed an AI-powered chatbot with deep learning capabilities. This experience sharpened my ability to work with innovative technologies like yours, even when faced with limited hardware access. Moreover, having built scalable backend APIs and worked on projects involving P2P local streaming will be invaluable as we transition into integrating the prototype with your custom camera SDK (Phase 2). Considering the long-term technical relationship you are seeking, I assure you that I will approach this project not only with technical excellence but also strategically ensuring your business needs are always prioritized. My rate is $X/hour and I am enthusiastic about embarking on this journey with you. Let's bring your intriguing vision tech to life together!!! Thank you!!!

@jeric5g

Hello, I’ve reviewed your Vision Tech prototype needs and I can build a real-time head/face tracking demo on my side using Android or a webcam, with auto zoom and smooth transitions at 15+ FPS. I’d implement a pipeline with MediaPipe or TensorFlow Lite for head detection, OpenCV for frame handling, and a lightweight tracker to keep the head centered while applying smart cropping. The deliverables will include full source, build instructions, a short demo video, and a concise note on how this would plug into your custom camera SDK (NDK + Java/Kotlin). What camera SDK constraints or hardware targets should we assume for Phase 2 integration? Best regards, Jeric Gonzales

@KTECH2411

I can prototype your Phase 1 head-tracking + auto-zoom demo using MediaPipe/TFLite + OpenCV on Android (or webcam), delivering real-time face/head detection, smooth centering, smart zoom/cropping, and stable ≥15 FPS, with full source code, build instructions, a short performance demo video, and a clear integration plan for your future Android NDK + custom Wi-Fi camera SDK pipeline.

@marcioazambujo

Hi there, Your project is my major, I believe I am a right person for your project. With specialized experience in real-time mobile computer vision and a strong background in Android NDK development using MediaPipe and TensorFlow Lite, I can successfully build your head-tracking prototype as a critical proof-of-concept. I will deliver a stable, real-time demo on Android hardware with clear integration guidance for your future smart mirror system. I hope to hear from you. Thank you.