Open-Source Futsal Match Analysis Program

@AwaisChaudhry

Hello, I understand that you are a small futsal club in Western Australia looking to build an open-source program for analyzing match videos. You need a solution that can process your 1080p match footage and extract important events and metrics, while also creating annotated review videos. My approach will involve using existing open-source projects like AI Futsal Tracker and futsal_analysis to efficiently glue together the necessary components and create the features you desire. I will ensure the program is cloud-hosted on AWS or Azure, as per your requirements, all while keeping it user-friendly for your teams. What specific AWS or Azure services do you prefer for hosting, and do you have any existing accounts or setups that we should consider? Thanks, Muhammad Awais

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an Efficient Video Analysis Solution for Your Futsal Club ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a video analysis solution for your futsal matches. You don't need to look any further; Zohaib is here to help you! My team has successfully completed over 50 similar projects for sports video analysis. We will utilize open-source tools to process your match videos, providing detailed insights and metrics while ensuring everything stays within your budget. ➡️ Why Me? I can easily handle your video analysis project as I have 5 years of experience in video processing and data analysis. My expertise includes working with AWS and Azure, FastAPI, and various open-source repositories for video tracking and event detection. I also have a strong grip on machine learning techniques, which will enhance the analysis process. ➡️ Let's have a quick chat to discuss your project in detail and I can show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Video Processing ✅ Data Analysis ✅ AWS/Azure Solutions ✅ Open-Source Tools ✅ FastAPI Development ✅ Event Detection ✅ Player Tracking ✅ Heatmap Generation ✅ JSON/CSV Export ✅ Metrics Analysis ✅ Futsal Knowledge ✅ Machine Learning Waiting for your response! Best Regards, Zohaib

@dahani9091

I understand that you're looking for a robust solution to analyze futsal matches and transform video data into actionable insights. This is a unique challenge, and I appreciate your commitment to using open-source tools. My approach would start with integrating the existing open-source repositories you've mentioned, ensuring that they work seamlessly together. I would utilize FastAPI for real-time processing while focusing on the specific events and metrics you need. By customizing the SoccerNet Action Spotting model, we can fine-tune it for futsal nuances, ensuring accurate tagging of events like passes and shots. In a previous project, I successfully implemented a similar video analysis system for a sports organization, where we processed hours of footage to deliver insightful metrics and visualizations that improved team performance. As an initial step, I recommend outlining the specific metrics that matter most to your teams. This will help streamline our focus and ensure we prioritize the most impactful features. I’d love to discuss this further and help your club enhance its performance through detailed match analysis. Please feel free to reach out.

@DrSyafiq

Dear Client, We are a team with over 10 years of experience in Machine Learning, Mobile App Development, and Python. We have carefully reviewed your project requirements for developing an open-source futsal match analysis program. We are confident in our ability to deliver this project with precision and excellence. We understand the need for a cloud-hosted solution on AWS or Azure using only free/open-source projects. Our expertise in AI Futsal Tracker, futsal_analysis, and SoccerNet Action Spotting aligns well with the functionalities you are looking for. We are committed to utilizing and extending existing open-source repositories to meet your specific needs. We are eager to discuss the project further with you. Please start a chat so we can delve into the details and ensure that our solution aligns perfectly with your vision for the futsal match analysis program. Looking forward to the opportunity to collaborate on this exciting project. Best regards.

@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 Matlab, Python, and similar tools. 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

@mannanmaan1425

Hello Holger S., I have read the project details and understood the overall requirement. With 5 years of experience in Python, Mobile App Development, Cloud Computing, Azure, Machine Learning (ML), Video Editing, Video Processing, Data Analysis, Open Source, and Video Streaming, I am well-equipped to handle your Open-Source Futsal Match Analysis Program project. I propose to utilize existing open-source projects like AI Futsal Tracker, futsal_analysis, and SoccerNet Action Spotting to process match videos, extract events and metrics, and generate annotated review videos with overlays. By leveraging these tools and adapting them to your specific needs, I aim to deliver a comprehensive solution that meets your club's requirements. You can view my portfolio here: https://www.freelancer.com/u/mannanmaan1425 Please ping me back so we can discuss the project further in the chat. Best regards, Abdul

@AITSoft

Hello, I understand you're looking for a cloud-hosted solution to process your futsal match videos, focusing on events and metrics analysis using open-source technologies. I can set up a system on AWS or Azure that utilizes the existing open-source projects like AI Futsal Tracker and futsal_analysis. This will allow us to efficiently process the videos, extract important metrics, and generate annotated review videos along with the requested exports. In my approach, I will integrate the necessary components to track player movements, analyze game events, and provide visual data through heatmaps and shot charts. I will ensure that the solution is scalable and maintains the open-source nature you require. Additionally, I will take care to extend the functionalities needed for your club's unique requirements. What specific features or functionalities are you looking to prioritize for the match analysis program? Thanks, Shamshad

@diektech

Hi, This is Elias from Miami. I’ve gone through the project details, and from what I understand, the goal is to build a cloud-hosted pipeline (AWS/Azure) that processes futsal match videos into structured events, metrics, and annotated review content — while strictly leveraging and extending existing open-source repos instead of building from scratch. I have over 10 years of experience in computer vision and applied ML, and I’m especially interested because I’ve already worked with sports-tracking pipelines (tracking, homography, overlays) and know the challenges of adapting football/soccer models to futsal footage. I’d love the chance to discuss how I can glue these repos together and extend them for your needs — clean JSON/CSV exports, heatmaps, and per-player video clips. A few questions to clarify scope: Q1: For player identification across matches, do you need persistent IDs (per season/player) or is per-game tracking sufficient? Q2: Do you want model fine-tuning for futsal specifically (shorter court, faster transitions), or is adapting existing SoccerNet baselines enough for MVP? Q3: Should the review video overlays be real-time (served via FastAPI) or generated offline as annotated files to download after processing? Looking forward to hearing from you. Regards, Elias

@rexzetsolutions

I have successfully completed various projects similar to the "Open-Source Futsal Match Analysis Program" and am confident in delivering a high-quality solution tailored to your specific requirements. 1.) Technical Approach: - Implement AI Futsal Tracker for player detection/tracking, possession, and heatmaps. - Utilize futsal_analysis for detection/tracking, court homography, and possession logic. - Adapt SoccerNet Action Spotting for Pass/Shot/Tackle/Goal events on futsal footage. - Integrate FootballAnalysis concepts for event-to-tagged video processing. 2.) Relevant Technologies: - AI Futsal Tracker (PlayerTracker-EHB/AI-tracker) using FastAPI. - futsal_analysis for tracking and homography. - SoccerNet Action Spotting for event recognition. - FootballAnalysis for event-video pipeline. 3.) Testing and Integration Plan: - Conduct comprehensive testing using sample matches to ensure accurate event detection. - Integrate the solution with your cloud platform (AWS or Azure). - Provide user-friendly interfaces for data export and video review. - Implement regular updates and maintenance to ensure continuous functionality. 4.) Performance and Scalability Optimization: - Optimize algorithms for efficient processing of match videos. - Implement parallel processing for faster analysis and output generation. - Utilize cloud resources for scalability as the number of teams and games increase. This proposal aims to deliver a robust match analysis program that meets your needs efficiently and effectively. Our approach combines the latest technologies with a user-friendly interface to provide you with valuable insights from your futsal matches. I look forward to collaborating with you on this exciting project and delivering a cutting-edge solution for your futsal club.

@annes01

This is exactly the kind of work I love doing. Processing futsal match videos, generating detailed metrics, and creating annotated review videos excite me. With experience in AI video analysis tools like PlayerTracker-EHB and FastAPI, I can enhance your futsal club's operations efficiently. Leveraging existing open-source projects, I assure you of a scalable, cloud-hosted solution on AWS/Azure. Let's discuss how I can elevate your club's performance. I'm happy to offer insight even if you don't go with me. Regards, Anne S.

@Feriver

Hello, I understand you’re looking to build an open-source, cloud-hosted futsal match analysis solution that processes mid-court recordings into meaningful events, metrics, and annotated video outputs. With extensive experience in Python, ML model fine-tuning, and cloud deployments on AWS/Azure, I can integrate and extend existing repositories like AI Futsal Tracker, futsal_analysis, and SoccerNet Action Spotting, ensuring full reuse of open-source resources while customizing them for futsal-specific scenarios. The system will include player detection and tracking, possession logic, event recognition for passes/shots/goals, and data exports in JSON/CSV formats. I will configure overlays for annotated review videos (heatmaps, pass maps, shot charts) and deliver automated pipelines that generate tagged clips and figures per player or event. By adapting open-source action spotting baselines to futsal gameplay, the solution will achieve accurate recognition while maintaining efficiency on cloud infrastructure. Deliverables will include a fully functional AWS/Azure deployment, source code with documentation, and tested workflows for video input to structured outputs. With proven expertise in video analysis, open-source AI integration, and scalable sports analytics, I can provide a robust, transparent, and cost-efficient system tailored to your club’s needs without reliance on proprietary software. Thanks, Asif

@ShannonL84

As a seasoned mobile and web developer, I bring an ideal blend of skills to your futsal analysis project. My expertise in backend development with frameworks like Firebase can provide the robust and scalable solution you desire. Additionally, my experience in integrating APIs would be valuable in incorporating and extending the existing open-source repos for your program. My background in machine learning would be instrumental in adapting and fine-tuning SoccerNet Action Spotting (baselines) for futsal footage. With my knowledge of Azure, we can leverage cloud-hosted solutions on this platform, optimizing efficient storage and processing for match videos. Most importantly, I understand the crucial need for user-friendly applications that perform at their best. This applies perfectly to your project to ensure reliable 'Event' detection such as passes, carries/dribbles, shots, goals, assists and the provision of effective metrics including team possession, pass counts, shot charts, player heat maps etc. My commitment to staying up-to-date on the latest industry trends will benefit ou again in terms of better solutions through new ideas! In summary, my past successes with timely deliveries and within budget projects show that you can rely on me for a high-quality product-one that surpasses your expectations. I'm excited about the opportunity to collaborate with you on this remarkable project.

@rbtech1984

Hey There!!! ⭐⭐⭐⭐ Tackling Futsal with Tech ⭐⭐⭐⭐ You’re aiming to turn raw futsal match footage into rich, insightful analytics using open-source tools—and I love that goal. You want auto-tagged events like passes and goals, performance metrics like possession and heatmaps, plus review videos, all hosted in the cloud. Here’s how I’d approach it: • Combine AI Futsal Tracker for tracking + overlays with futsal\_analysis for court mapping • Fine-tune SoccerNet Action Spotting for futsal events (custom passes/goals/assists) • Build event-to-video pipelines inspired by FootballAnalysis • Host everything on AWS (EC2, S3, Lambda) or Azure with FastAPI as backend • Export results in clean JSON/CSV/PNG formats + clip/tag videos per player With 9+ years of hands-on experience in machine learning, video analytics, and Python-based pipelines, I’ve worked on similar cloud-first, open-source-focused solutions. I value reliability, clean communication, and delivering work that just makes sense. Would love to explore how we can bring this to life together! Best Regards, Farhin B.

@TechizeBuilder

Hi Holger S., I came across your project "Open-Source Futsal Match Analysis Program" and I'm confident I can help you with it. About Me: I'm a agency owner with over 8+ years of experience in Mobile App Development, Python. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@mughiraaa

Hello, I will set up an aws environment with s3 for video storage, ec2 for compute and lambda for orchestration of processing tasks. the raw match videos will be uploaded to s3 and automatically queued for processing. for detection and tracking i will use ai futsal tracker combined with futsal analysis to handle player recognition, ball tracking and court homography calibration. possession statistics, heatmaps and overlays will be generated through fastapi endpoints provided by these repos, extended where necessary to support futsal-specific conditions. for event spotting i will adapt soccernet action spotting baselines, fine tuning them on futsal data for detecting passes, dribbles, shots and goals. once processed, the pipeline will generate structured outputs in json and csv for metrics, png files for heatmaps and shot charts and annotated videos with overlays. all outputs will be stored back into s3, while a lightweight dashboard written in react with fastapi backend will provide access to downloads and playback. Let's have a detailed discussion, as it will help me give you a complete plan, including a timeline and estimated budget. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@shrec

Hello, I'd be pleased to develop your cloud-hosted futsal video analysis solution by extending open-source projects rather than building from scratch. To accomplish scalable video processing, deploying AI Futsal Tracker on AWS with FastAPI microservices works well because it enables efficient player detection, possession tracking, and overlay generation while remaining lightweight and cost-effective. For the purpose of delivering actionable insights, integrating futsal_analysis for homography and event metrics is effective since it aligns with your goal of JSON/CSV exports, annotated clips, and heatmaps without reinventing core logic. I have strong expertise in computer vision and sports analytics pipelines, having previously built player-tracking and event-detection systems using OpenCV, PyTorch, and FastAPI on cloud infrastructure. I can provide the exact solution you need. Hope to discuss the details and contribute to your club’s success.

@denisSolution

Hello client, I'm Denis Redzepovic, an experienced developer with expertise in Video Processing, Azure, Video Editing, Video Streaming, Open Source, Cloud Computing, Machine Learning (ML), Python, Data Analysis and Mobile App Development. I have worked extensively on diverse Python projects, ranging from backend development and automation to data processing and API integrations. My deep understanding of Python’s libraries and frameworks allows me to build efficient, scalable, and maintainable solutions. I pay close attention to code quality and performance to ensure your project runs flawlessly. With my solid experience, I’m confident I can deliver results that exceed your expectations. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your project details so I can tailor the perfect Python solution for you. Thanks, Denis

@maddifreelancer

Hi, as a proficient python data scientist , i can complete this futsal analysis task perfectly and quickly.I can start working on the project immediately.I can assure you that the best solution will be provided for you. Please contact me to discuss further.

@viralrathod1

We specialize in AI-based sports analytics and can deliver your futsal video analysis system by extending the exact open-source repos you listed (AI Futsal Tracker, futsal_analysis, SoccerNet baselines). Our focus is to reuse and integrate, not rewrite, so the solution stays open-source and cost-efficient. ## Flow we’ll build: Ingest & preprocess match footage (AWS/Azure). Detection & tracking using AI-Futsal-Tracker + court homography. Event spotting (passes, shots, goals, assists) via fine-tuned SoccerNet. Analytics – possession %, pass counts, shot maps, player heatmaps. Review outputs – annotated videos with overlays. Exports – JSON/CSV, PNG figures, per-event video clips. Deliverables: Cloud-hosted pipeline, modular and extendable, producing both metrics and review videos. ## Questions: Dataset size (hours of footage) for fine-tuning? AWS vs Azure preference? Do you need a front-end dashboard or just exports? Please reply me so we can discuss in detail Waiting for your reaponase

@mobiwebsolutions

Hi There!!! I have studied your project description very well and understand you need an open-source based, cloud-hosted futsal match analysis tool that detects and tracks player events and creates annotated outputs like heatmaps, event tags, and review clips. I am best fit for this project because I have deep experience working with video processing, open-source trackers, and deploying ML pipelines on AWS and Azure. ✔️ Integrated AI-tracker and homography-based detection in previous sports analysis tools ✔️ Adapted SoccerNet models for custom sports events with annotated output ✔️ Built cloud-based video pipelines with FastAPI, Python, and data export modules You will get complete system setup, cloud deployment, database, testing, source code and end-user training as part of this project. I have 9+ years experience as a full stack developer. Recently worked on a basketball analysis tool using open-source tracking and clip tagging logic with cloud-hosted dashboards. Looking forward to chat with you for make a deal. Best Regards Elisha Mariam!