Game Analyzer for Table Tennis
445 USD 🎯 Project Goal
Develop a software module for automatic analysis of table tennis gameplay in real-time via RTSP video stream from a camera mounted above the playing table. The module should:
- detect and track the ball and paddles,
- recognize game events (hits, bounces, faults),
- determine scores,
- transmit results via API / WebSocket or save to a file.
📡 Input Data
- RTSP stream from IP camera (user-configurable):
- Example: rtsp://192.168.0.101:554/stream1
- Camera positioned above the table or at a 45° angle.
- Resolution: 720p or higher, ≥30 fps.
- Stable lighting, uncluttered background.
🧩 Required Functionality
1. 🎥 RTSP Stream Processing
- Connect to RTSP via OpenCV.
- Process in real-time (latency < 500 ms).
- Ability to run script from CLI:
2. 🧠 Object Detection
- Model for:
- ball;
- paddles (2 players);
- Trained YOLOv5/YOLOv8 (or equivalent);
- Detection should work with 90%+ accuracy under normal conditions.
3. 📍 Object Tracking
- Implement ball tracking (Kalman, DeepSORT, etc.).
- Track paddles and ball frame by frame.
4. 🧾 Event and Score Logic
- Determine:
- paddle hits;
- table and net touches;
- out of bounds;
- Implement FSM (Finite State Machine) or equivalent.
- Log errors:
- out, double bounce, missed ball, hitting the net.
5. 🔊 Output Results
One or multiple options:
- WebSocket server with events in JSON format;
- REST API endpoint for current score;
- Log file: events.json with timestamps and event types;
- Optional: visual overlay (OpenCV).
-
1 day445 USD
319 1 day445 USD
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We develop websites on WordPress and mobile applications for iOS and Android. The total development experience is 7 years. We are ready to execute your order turnkey.
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Google Ads, Facebook, TikTok advertising setup
SEO and copywriting
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7 days557 USD
1616 8 0 7 days557 USD
Hello
I am a developer in the field of ML/DL. I am ready to complete your project. Write to me, let's discuss.
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10 days445 USD
9340 20 0 1 10 days445 USD
Good day
Ready to implement a table tennis analysis system.
I have experience with computer vision and real-time video processing. Worked with YOLO models, OpenCV, and object tracking systems. Understand the specifics of fast object detection and event-driven logic building.
Technical approach:
RTSP stream processing via OpenCV with minimal latency
YOLOv8 for ball and racket detection (can fine-tune on your data)
ByteTrack/DeepSORT for stable tracking
State machine for event logic and score counting
… WebSocket API for real-time results
What you will receive:
Ready Python module with CLI interface
Documentation and setup instructions
Test video with results
Easy scalability options
I can start with a prototype on test videos so you can evaluate detection quality. Then I will bring it to production readiness.
-
10 days445 USD
4270 93 1 3 10 days445 USD
Hello
I am a Python developer
specializing in data science
Ready to take on the work
I complete the work with quality and on time
You can read the reviews
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14 days445 USD
1388 4 0 14 days445 USD
Good day.
Interesting project - just in my area of interest (I can tell you about similar completed projects)
Could you show a fragment of the video so I can get an idea of what the scene will look like? You can send it in a private message.
I would be glad to cooperate.
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13 days445 USD
8753 60 0 1 13 days445 USD
Hello! I am from SolidWay company and ready to assist with the implementation of a software module for analyzing table tennis gameplay. We already have experience developing similar projects, including working with streaming video, analytics, and machine learning. We know how to ensure high object detection accuracy and embed real-time processing.
For your task, we plan to use modern technologies such as OpenCV for working with RTSP streams and YOLOv5 for detecting the ball and paddles. We can also implement object tracking using DeepSORT and develop logic for identifying game events. All of this will help achieve the desired functionality and accuracy.
Let's discuss the details of the task and determine the deadlines and budget after a more in-depth analysis of your requirements. Looking forward to your response!
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