Android AR Image Detection + Video Overlay (Fast Performance Required) natively (java or kotlin)

@brayanstiven5

Hi, there, As an experienced Android developer proficient in Kotlin and Java, I am excited about the opportunity to work on the Android AR Image Detection and Video Overlay project. With a strong background in mobile app development and ARCore, I am confident in delivering fast and seamless performance for image detection and video playback. ✅ Leveraging ARCore image tracking technology, I will ensure that the video plays immediately upon image detection, maintaining alignment and smoothness similar to the provided demonstration video. ✅ Using my expertise, I will optimize the system to support multiple images in the ARCore database, guaranteeing that only one active video plays at a time, ensuring high performance. ✅ By focusing solely on image detection and AR video overlay without the need for backend or additional features, I will prioritize speed and efficiency, meeting the critical performance requirements. ✅ Drawing on my past experience with similar AR tasks, I will ensure the implementation meets your expectations for fast detection and playback, providing a demo video for your review. I look forward to showcasing my capabilities in this area. ✅ Testing and refining the solution, I will deliver a high-quality and reliable app that exceeds your expectations, ensuring a seamless and engaging user experience. I look forward to working with you. Best Regards. Brayan

@DigitalNightOwl8

Hey , Good morning! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Mobile App Development, Augmented Reality, Kotlin, ARCore and Android. For more information about me, please refer to my portfolios. I am checking your attachment, I'll update you shortly... I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thanks & Regards

@nutankumarftp

As an experienced Full Stack Web & Mobile App Developer with a specialization in Android development, I'm confident in my ability to deliver a high-performance solution for your AR image detection and video overlay project. With over 10 years in the industry and more than 2000 projects completed successfully, I have honed my skills in Kotlin and Java- the languages you're looking for. In addition, I have worked extensively with ARCore image tracking and have created applications that featured image-based interactions with videos before. In line with your requirements, I understand the crucial need for speed and fluency when it comes to image detection and video playback- no lagging or sluggish behavior. To demonstrate my qualifications, I'd be more than willing to provide you with a demo similar to what you are seeking - speedy image detection and video playback. While keeping your budget constraints in mind, I can assure you a seamless experience where the video starts immediately upon detecting the corresponding image, aligned properly with it without compromising on the performance aspects that you deem so important. Let's work together towards bringing your vision to life!

@ayesha86664

Hi there! I understand the challenge of making AR image detection and video playback extremely fast and smooth. Delays or misalignment can ruin the experience, so performance is key. I have experience developing AR apps in Kotlin and Java using ARCore, including precise image tracking and overlaying videos in real time. I’ve optimized apps to reduce latency and maintain smooth playback even with multiple tracked images. My approach will be to set up ARCore with your image database, implement immediate video playback for each detected image, and optimize rendering so it matches the speed shown in your demonstration video. check our work https://www.freelancer.com/u/ayesha86664 Can you share the number of images that need to be supported in this AR task? Let me know if you’re interested & we can discuss it. Best Regards, Ayesha

@oleksandrp60

Hi there Does the demo app you mentioned use a custom OpenGL surface or ExoPlayer rendered onto an ARCore anchor? Is frame-perfect video alignment required when the tracked image moves, or is slight lag on fast movement acceptable? I have done AR video overlay on ARCore using ExoPlayer with texture rendering on tracked image anchors. The key is binding the video surface directly to the ARCore anchor transform each frame and preloading video before detection triggers playback. I would love to discuss more details on chat. Best Oleksandr

@humeniukm

Hi there,\n\nI see you need an efficient AR solution that triggers video playback upon image detection. Speed is critical, and I understand the importance of having a smooth user experience. With over 4 years of experience in Android development, specifically with ARCore, I am well-equipped to solve this problem.\n\nI will implement image tracking using ARCore, ensuring it can handle multiple images within the database for seamless transitions. Upon detecting an image, the corresponding video will be triggered immediately. I will also leverage optimized techniques to maintain the necessary speed for both detection and playback, as demonstrated in your provided video. Could you share more about the specific types of images you plan to use for detection?\n\nThanks,\nMaksym

@rohaansheikh90

Hello, I can do the work as I have recently completed a similar project involving Android AR image detection and video overlay with fast performance. I understand the importance of speed and smoothness in image detection and video playback, and I am confident in delivering the results you are looking for. I have a few questions regarding the project details and would like to discuss them further. Please start the chat so we can begin the conversation and clarify any additional requirements you may have. Thanks, Rohaan Sheikh

@natanr28

HELLO, HOPE YOU ARE DOING WELL! I understand that you need a fast and smooth implementation for AR image detection and video overlay in an Android application. My expertise in ARCore and mobile development makes me the perfect candidate for this task. My plan is to leverage ARCore image tracking to ensure immediate video playback upon image detection. I will ensure that video alignment stays perfect with the tracked image, and I’ll set up the capability for multiple images in your ARCore database while maintaining high performance. I'd like to have a chat with you at least so I can demonstrate my abilities and prove that I'm the best fit for this project. Warm regards, Natan.

@chiragm078

My name is Chirag, and I have been an Android developer for over 5 years with a focus on mobile app development. I understand the importance of speed and high performance in your project, as demonstrated in the video provided. My expertise in Java and Kotlin, combined with my knowledge of ARCore image tracking, equips me well to handle this project superbly. I have developed numerous mobile apps incorporating various features and platforms; cross-experience that is valuable in addressing the needs of your project comprehensively. My conceptual understanding of AR technology has been practically applied in previous projects where I delivered effective image recognition and smooth video playback features at competitive speeds. Furthermore, my experience extends to optimizations for enhanced performance without jeopardizing on security or reliability. These are invaluable attributes when it comes to AR-related projects where fluidity, accuracy, and timely response are paramount. I would be thrilled to bring my expertise and dedication to deliver an AR image detection + video overlay experience for you that will exceed your expectations.

@hannas62

Hello, Having a background in engineering, I have an inherent appreciation for the importance of high performance, especially when it comes to AR implementations. I've been working extensively with Kotlin and Java for Android app development, and my deep understanding of these languages allows me to optimize performance significantly. I've successfully delivered on numerous AR projects in the past, some requiring real-time image detection and precise video overlays just like yours. My approach has always been about utilizing the most advanced tools available, and for your project specifically, I am proficient in employing ARCore image tracking which fits your requirements perfectly. Additionally, my experience in tutoring has taught me the value of being diligent and detail-oriented. I’ll take the time to understand your existing app thoroughly to integrate the same level of precision you admire into your project. What’s more, my communication skills have been lauded by my clients; I make sure to keep them updated throughout the project's journey, ensuring transparency and trust. So if getting quick, smooth, and impeccable AR image detection along with perfect video playback alignment with the target image is what you're looking for look no further. Together, we can create an exceptional experience that meets all your expectations and falls within your budgetary scope Thanks!

@kgolak

I see the need for seamless ARCore image tracking with immediate, smoothly aligned video playback — speed here is definitely key. My team includes Android developers skilled in Kotlin and ARCore who can handle this specialized task by optimizing image detection and playback pipelines to reduce latency. I’ll be your direct point of contact, coordinating the developer and reviewing all output to ensure quality meets your expectations while keeping communication clear and timelines on track. We’re used to focused projects like this, where delivering a fast, reliable AR overlay experience is the priority. Could you share the link to the Android app example you mentioned so we can analyze its approach before starting?

@vasylklymiu

Hi, I would like to grab this opportunity and will work till you get 100% satisfied with my work. I just applied after read your job posting carefully and I believe that I am good fit to your project. I'm a serious bidder. I will satisfy you with my high skills! I am an expert which have 8+ years of experience on Mobile App Development, Android, Augmented Reality, Kotlin, ARCore I will work on your project hard with full time. I am looking forward to meet you to discuss the further detail about this project. Looking forward to hearing from you. Thank You

@zacsin9

Hey — saw your post about the ARCore image detection with instant video overlay. The big pain point here is that most ARCore samples have noticeable delay between detection and video start, which ruins the “instant” feel you’re aiming for. Quick question before I suggest an approach: Is the reference app using a custom renderer / SurfaceTexture pipeline for video, or just ExoPlayer on top of the camera feed? I’ve worked with ARCore image tracking + video textures in Kotlin, including handling multiple reference images and keeping the video tightly aligned to the tracked image without jitter. If you send the demo video link and the sample APK/project you mentioned, I can review how they achieved that speed and tell you exactly how I’d replicate (or improve) it within your budget.

@RuslanRK

​Howdy! I specialize in high-performance Android development and computer vision. I can achieve the exact detection and video playback speed you need using ARCore. ​My plan for instant tracking: ​Optimized ARCore Database: I will ensure your image database is pre-processed for maximum detection speed. ​Pre-loaded Video Engine: Using ExoPlayer with texture pre-rendering so the video starts playing the moment the image is detected, with zero lag. ​Stable AR Overlay: Meticulous alignment of the video player surface with the ARCore tracking coordinates, ensuring it sticks perfectly to the image. ​My Process: ​Deep dive into the provided example app to reverse-engineer its performance pipeline. ​Implementation in clean Kotlin/Java code. ​Rigorous testing on various Android devices to ensure smooth performance. ​Deliverables: ​Android Studio Project (source code). ​Performance-optimized APK ready for your integration. ​I am ready to start immediately. Let’s make this happen in 48 hours.

@dodywicaksono

I am incredibly excited to optimize your ARCore image tracking to achieve that instant, buttery-smooth video playback you saw in the demonstration. By pre-loading the AugmentedImageDatabase and using a texture-backed MediaPlayer, I will eliminate the typical lag associated with AR video overlays. Each video will be precisely anchored to its specific image target so it stays perfectly aligned even during rapid camera movement. I can start working on this immediately and will provide you with daily progress builds to ensure the detection speed meets your exact standards. This native Kotlin implementation will focus entirely on performance and frame-perfect synchronization. Let's hop on a chat so I can show you my previous AR work and get this project moving today!