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AI Video Analysis for Beach Volleyball – Project Request We are developing a digital project in the beach volleyball space, with the goal of building a platform for video analysis, scouting, and performance insights. We are looking for an expert or team capable of developing (or evaluating the development of) an AI-based system that can automatically analyze beach volleyball match videos and generate structured data and statistics. At this stage, our goal is to understand what is realistically achievable, in terms of functionality, accuracy, timelines, and cost. Project Context We already have access to a growing library of beach volleyball match videos, recorded from real tournaments. These videos are typically recorded with a fixed or semi-fixed camera and show the full court or most of it. Over time, this video database will continue to grow significantly. Our long-term goal is to build a proprietary platform where users (players, coaches, scouts, clubs) can analyze matches and extract meaningful insights. Main Objective The system should be able to take a beach volleyball match video as input and automatically generate structured information about the match. This includes: identifying players identifying teams detecting game events generating player statistics generating team statistics understanding direction of play building a timeline of the match The final output should be usable within a digital platform (e.g. JSON or database-ready format). Required Capabilities 1. Court and Game Understanding The system should understand the structure of a beach volleyball court and the game context, including: identifying the court distinguishing the two sides understanding which team is on each side at a given moment interpreting the direction of play 2. Player Detection and Tracking The system should detect and track the 4 players on the court (2 per team). Requirements: continuous detection of players ability to distinguish between the two teams tracking players during rallies maintaining player identity even in case of: player overlap or crossing partial occlusions fast movements temporary loss of visibility It is acceptable to manually assign player identities at the beginning (e.g. Player 1, Player 2, etc.), as long as the system can maintain consistent tracking afterward. 3. Side Switching (Critical Requirement) In beach volleyball, teams switch sides of the court multiple times during a match (typically every few points, depending on the format). This creates a critical challenge: players do not remain on the same side of the court throughout the match; the same team can appear on both sides at different times; position alone cannot be used to identify players or teams. The system must: maintain consistent player identity even after side switches; correctly assign actions and statistics to the right player regardless of court side; avoid confusion between teams when side switching occurs; handle multiple side switches within the same match. This is a key requirement for the correctness of the analysis. 4. Event Detection The system should identify the main events of a beach volleyball match. Target events include: serve reception set attack block defense ace service error attack winner attack error (out or net) blocked attack point awarded A progressive approach is acceptable, starting from basic events and expanding to more detailed recognition. 5. Player Statistics The system should generate individual statistics for each player, such as: number of serves aces service errors attack attempts attack winners attack errors blocked attacks blocks (points) defensive actions total points All statistics must remain correctly associated with the same player throughout the match, even after side switches. 6. Attack Direction Analysis An important feature is the ability to analyze the direction of attacks. Examples include: cross-court (diagonal) line short shot (tip) deep shot attack to a specific area of the court attack targeting a specific player attack to open space This is highly relevant for scouting and tactical analysis. 7. Ball Tracking If possible, the system should track the ball during play. We are aware this is a complex task due to: ball speed small object size outdoor conditions variable lighting non-professional video quality Partial or approximate solutions are also acceptable. 8. Structured Data Output The system should produce structured output that can be integrated into a platform. Preferred format: JSON or equivalent structured data The output should include: players and team assignment timeline of events with timestamps event type involved player outcome of the action direction of play (if applicable) aggregated statistics confidence level for detected events 9. Semi-Automated Workflow (AI + Human Review) A semi-automated approach is acceptable and desirable, especially in early stages. Expected workflow: AI analyzes the video AI generates events and statistics a human operator can review and correct the output corrections are stored and can be used to improve the system over time Final Goal The long-term goal is to build a scalable and proprietary system for beach volleyball video analysis. We are not expecting a perfect solution from the beginning, but a system that can: start with basic capabilities improve over time leverage growing video data evolve toward more advanced analysis
Project ID: 40409060
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With over a decade of experience in full-stack architecture and high-scale systems, I understand your project goal of developing an AI-based system for beach volleyball video analysis, scouting, and performance insights. My background in building and scaling high-complexity systems, such as serving over 1 million users, directly applies to the challenges of automating match video analysis and generating structured data and statistics in real-time. To ensure scalability and accuracy, a strategic insight involves implementing a semi-automated workflow where AI generates events and statistics for human review and correction, enabling continuous improvement of the system. My past success in developing AI-powered solutions ensures that I can handle the complexity of this project and deliver results that meet your objectives effectively. I encourage you to take action and discuss the roadmap further. Let's collaborate to bring your vision of a cutting-edge beach volleyball video analysis platform to life.
€8,000 EUR in 60 days
6.0
6.0

⭐⭐⭐⭐⭐ AI Video Analysis for Beach Volleyball – Unlock Insights Effortlessly ❇️ Hi My Friend, I hope you're doing well. I reviewed your project requirements and see you are looking for an AI system for beach volleyball video analysis. You don't need to look any further; Zohaib is here to help you! My team has completed over 50 similar projects in video analysis. We can create a solution that will analyze match videos and generate structured data and statistics efficiently. ➡️ Why Me? I can easily develop your AI video analysis system as I have 5 years of experience in AI development, computer vision, and data analysis. My expertise includes video processing, player detection, and event tracking. I have a strong grip on machine learning and data structuring, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you! ➡️ Skills & Experience: ✅ AI Development ✅ Video Analysis ✅ Computer Vision ✅ Player Detection ✅ Event Tracking ✅ Data Structuring ✅ JSON Formatting ✅ Machine Learning ✅ Video Processing ✅ Performance Insights ✅ Statistical Analysis ✅ Workflow Automation Waiting for your response! Best Regards, Zohaib
€6,000 EUR in 2 days
5.5
5.5

Hello, We've thoroughly reviewed your project on AI-Based Beach Volleyball Video Analysis, and it aligns perfectly with our expertise in creating intelligent systems. Your goal of developing a platform for video analysis, scouting, and performance insights is both ambitious and achievable. In a previous project, we successfully developed an AI system for sports video analysis, where we automated player tracking, event detection, and statistical analysis. This experience positions us well to address the unique challenges of beach volleyball, including player tracking and side-switching complexities. With over 8 years of experience and a proven track record as one of the top 1% on Freelancer.com, we specialize in AI-first product development, leveraging LLMs and RAG systems. Our skills in computer vision and machine learning will ensure robust player and event detection, while our proficiency in APIs and scalable applications will support seamless data integration and user interaction. Our extensive experience with AI-driven intelligent systems and video processing ensures we can deliver a solution that not only meets but exceeds your expectations. Please message us with more details, and we'll provide a comprehensive, tailored proposal within 24 hours. Looking forward to collaborating on this impactful project. Best regards, Puru Gupta
€10,000 EUR in 50 days
4.4
4.4

Hello! I am a US-based senior software engineer with extensive experience in AI and data processing. I carefully read your project description about AI-based video analysis for beach volleyball, and I’m excited about the potential impact this can have on player performance and training. With around 15 years of experience in machine learning, data visualization, and video processing, I can help you build a robust solution that accurately analyzes gameplay and provides actionable insights. My approach combines technical expertise with a business mindset to ensure the project is not only technically sound but also practical and user-friendly. To ensure I align with your vision, could you please clarify the following questions to help me better understand the project? 1. What specific features do you envision for the AI analysis tool? 2. Are there any existing datasets or video sources we should utilize? 3. What is your timeline for the initial launch and subsequent phases? I’ve built various applications that integrate AI solutions effectively, such as a sports analytics dashboard and automated data processing systems for small e-commerce platforms. I’m eager to bring my skills to your project and help create an innovative analysis tool that enhances the experience for beach volleyball players. Looking forward to discussing this further! Best, James Zappi
€8,000 EUR in 26 days
3.3
3.3

Hello, I am excited about the opportunity to collaborate on your AI-Based Beach Volleyball Video Analysis project. The vision for your platform aligns perfectly with my expertise in Machine Learning, Data Science, and Computer Vision. I understand the importance of developing an AI system that can accurately analyze beach volleyball match videos to provide structured data and statistics for players, coaches, and scouts. My experience in AI Chatbot Development, AI Model Development, and AI Development equips me to tackle the challenges of identifying players, teams, game events, and generating player and team statistics. I will approach this project by focusing on court and game understanding, player detection and tracking, side switching, event detection, player statistics, attack direction analysis, ball tracking, and structured data output. By implementing a semi-automated workflow, combining AI analysis with human review, we can ensure the accuracy and quality of the output. I am confident that my skills and experience make me a suitable candidate for this project. I look forward to the opportunity to discuss further details and contribute to the success of your beach volleyball video analysis platform. Best regards, Jayabrata Bhaduri
€7,500 EUR in 7 days
2.8
2.8

Hi, I have strong experience building AI video analysis systems using Computer Vision and Machine Learning, including player tracking, event detection, and structured data extraction from sports footage. For this project, I’d start with a solid pipeline: court detection, 4-player tracking with stable IDs (even through side switches), and basic event segmentation. Then expand into event classification, attack direction, and stats generation. I’ll structure everything into clean JSON output with confidence scores and include a review layer so human corrections improve the system over time. I can also clearly define what’s realistic short vs long term (especially for ball tracking). You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Let’s get started. Best regards, Juan
€5,500 EUR in 7 days
2.9
2.9

As a seasoned Full-Stack Developer with a strong focus on AI development, I believe I bring the perfect blend of skills to meet your needs for this project in beach volleyball video analysis. Over my 7+ years of bulding web applications, mobile apps and SaaS platforms, I've deployed several AI and Machine Learning models in real-world projects. For example, I built a custom NLP model that enabled an e-commerce store to intelligently recommend products based on user queries and preferences—experience I find particularly relevant to your project. Most importantly—communication. With me, you can expect daily updates on progress, realistic timelines, and swift response to queries. More insightfully, my clean and documented coding style will not only benefit you during our collaboration but any subsequent developer who interacts with our work. Moreover, my notable track record of delivering over 98% projects before or at deadline suggests that time-management is a skillset I possess with great dedication. Overall, my multifaceted tech expertise coupled with my ability to think beyond code would make me an excellent fit for translating your vision into reality. Let's connect and start building the future
€8,000 EUR in 7 days
2.6
2.6

Hello! As per your project post, you’re looking to build an AI based beach volleyball video analysis platform that can automatically process match footage and generate structured insights such as player tracking, event detection, and performance statistics. The goal is to create a scalable system that transforms raw video into meaningful, data driven analysis for players, coaches, and scouts, with the ability to evolve into a proprietary sports intelligence platform. My focus will be on delivering a complete AI video analysis system, featuring: court detection and game context understanding to identify sides and direction of play, player detection and multi object tracking with identity persistence even during occlusions and fast movements, and a robust logic layer to handle side switching while maintaining consistent player identity across the match. The system will ensure reliable mapping of actions to the correct players regardless of position changes. I specialize in AI driven systems, computer vision pipelines, and scalable data platforms. My focus will be on building a practical MVP that balances accuracy, performance, and feasibility while setting a strong foundation for long term growth. Let’s connect to review your video dataset, annotation expectations, and priority features so we can define a realistic MVP scope, timeline, and development strategy. Best regards, Nikita Gupta.
€5,000 EUR in 45 days
0.0
0.0

This looks like a great fit, I will build your AI-based beach volleyball analysis pipeline — player detection and tracking, event recognition, attack direction classification, and structured JSON output ready for platform integration. For the side-switching challenge, I will implement a re-identification module using visual feature embeddings (jersey color, body shape, motion patterns) rather than relying on court position alone. This way, player identity persists across every switch without manual correction. Combined with a human-review loop, each correction feeds back into the model, steadily improving accuracy as your video library grows. Questions: 1) What is the typical camera resolution and frame rate of your tournament footage — and is there any existing annotation or labeled data available? Looking forward to your response. Best regards, Kamran
€5,613 EUR in 30 days
5.0
5.0

Side switches are the exact pain point I noticed — position-based ID fails the moment teams swap sides. I’d treat side-switching as a primary design constraint from day one. The real challenge is linking short tracklets into season-long identities: appearance re-id plus match-level linking and a simple manual seed at kickoff usually solves most confusion. I built a proof-of-concept for a club volleyball analytics app that produced play-by-play JSON and stable player IDs across side changes for tournament footage. My approach: quick data audit of a few matches, then a POC that detects court via homography, runs multi-object tracking + re-identification, applies side-switch logic (initial manual assignment + automatic tracklet merging), and event detection via pose + ball-proxy heuristics. Deliverables: JSON timeline, per-player stats, confidence scores, and a lightweight human-review UI to correct outputs and feed back to the model. Estimated POC: 6–8 weeks for 7,500 EUR. Quick question: can you share 3–5 representative match clips (resolution, frame rate) and confirm if manual initial identity tagging at the match start is acceptable?
€7,500 EUR in 7 days
0.0
0.0

Voghera, Italy
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