You will get Computer Vision-Powered Sports Analytics & Real-Time Player Tracking
Project details
Developed a Computer Vision-Powered Sports Analytics & Real-Time Player Tracking system for intelligent sports monitoring, tactical analysis, and automated player performance evaluation using AI and Computer Vision technologies. The system performs real-time detection, identification, and tracking of multiple players during live and recorded matches with high accuracy and low latency.
Implemented advanced Computer Vision techniques including object detection, multi-object tracking, motion analysis, heatmap generation, player movement visualization, and event recognition using YOLOv8, OpenCV, DeepSORT, TensorFlow, PyTorch, and Python. The solution processes match footage frame-by-frame to generate tactical insights, player positioning, sprint analysis, ball tracking, possession statistics, and team performance metrics.
Integrated AI-powered analytics dashboards for visualizing player activity, tactical formations, attacking zones, and tracking accuracy. The system also supports automated event detection such as goals, fouls, and offside analysis, demonstrating expertise in Computer Vision, Sports Analytics, Deep Learning, and Real-Time AI Tracking Systems.
Implemented advanced Computer Vision techniques including object detection, multi-object tracking, motion analysis, heatmap generation, player movement visualization, and event recognition using YOLOv8, OpenCV, DeepSORT, TensorFlow, PyTorch, and Python. The solution processes match footage frame-by-frame to generate tactical insights, player positioning, sprint analysis, ball tracking, possession statistics, and team performance metrics.
Integrated AI-powered analytics dashboards for visualizing player activity, tactical formations, attacking zones, and tracking accuracy. The system also supports automated event detection such as goals, fouls, and offside analysis, demonstrating expertise in Computer Vision, Sports Analytics, Deep Learning, and Real-Time AI Tracking Systems.
Machine Learning Tools
Amazon SageMaker, Keras, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, Python, PyTorch, TensorFlowWhat's included
| Service Tiers |
Starter
$12,000
|
Standard
$30,000
|
Advanced
$50,000
|
|---|---|---|---|
| Delivery Time | 14 days | 42 days | 70 days |
Number of Revisions | 2 | 2 | 3 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 2 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - |
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Brian D.
May 10, 2026
Deep Learning & CNN Expert Needed for Object Detection and Computer Vision Project
Muhammad was great to work with. He understood the project quickly, communicated well, and delivered the work on time. The detection model worked really well. He was very professional throughout the project honestly never worked with someone like him before. I’m very satisfied with the results and would definitely work with him again.
MG
Manasa G.
Jan 6, 2025
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Sep 23, 2024
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Manasa G.
Sep 6, 2024
Chatbot developer and GenerativeAi expert
Its great working with him, delivers within the expected time
About Muhammad
AI Engineer (Computer Vision, Deep Learning, Machine Learning, NLP)
92%
Job Success
Karachi, Pakistan - 5:05 pm local time
I've worked on various AI domains such as Computer Vision, Deep Learning, Natural Language Processing and Reinforcement Learning. I've applied AI in medicine, academics, and industry to automate data annotation and model deployment processes.
✅ What I Offer:
𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Leverage advanced neural networks to model complex patterns in data, enhancing the performance of applications across generative AI, computer vision, and NLP.
𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Delve into the realm of creative AI, where machines produce realistic and novel content across various mediums.
𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: Equip your systems with the ability to understand and interpret visual data, enabling applications like image recognition and object detection.
𝐍𝐋𝐏: Empower your projects with language understanding capabilities, facilitating tasks such as sentiment analysis and text generation.
💡 Why Collaborate with Me?
𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🔹 My Expertise Includes:
Deep Learning (CNN, Neural Networks, Transfer Learning)
Computer Vision (Image Classification, Object Detection, Segmentation)
Frameworks: PyTorch, TensorFlow, Keras
Medical Imaging AI (MRI, Tumor Detection)
Model Optimization & Deployment
🔹 What I Deliver:
Accurate and production-ready AI models
Scalable deep learning pipelines
Clean, maintainable, and efficient code
I have built systems like brain tumor detection, AI-based classification models, and intelligent automation pipelines. My focus is on solving real-world problems using deep learning with high accuracy and efficiency.
𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I am adept at utilizing a wide array of tools and frameworks, ensuring optimal implementation and performance.
𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐅𝐨𝐜𝐮𝐬: Stay ahead of the curve with cutting-edge solutions tailored to your specific requirements.
𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐬𝐭𝐚𝐜𝐤: Python (Numpy, pandas, OpenCV, Keras, PyTorch), AWS, Google Cloud, GPU, machine learning APIs, Docker.
Let's connect and discuss how we can leverage these technologies to achieve your goals.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Scope alignment & success metrics
Confirm KPIs, inputs, outputs, real-time constraints, and acceptance criteria. Finalize “what done looks like” and the tier scope.
Data review & baseline plan
Review sample videos, camera setup, and edge cases (occlusion, blur, lighting). Define detection/tracking approach and evaluation metrics.