You will get computer vision systems for safety, surveillance and sports
Project details
I develop production-ready, industry-grade AI systems for security, sports, and retail analytics.
What I Can Build for You ?
Security & Surveillance
Shoplifting & suspicious behavior detection
PPE & safety compliance (helmets, vests, restricted zones)
Real-time alerts & event logging
Sports Analytics
Player tracking & pose estimation
Action recognition & movement analysis
Automated performance metrics & insights
Traffic & Monitoring
License plate recognition (ANPR)
Vehicle detection & tracking
Intelligent video analytics pipelines
Why Choose Me?
Industry-Proven: Deployed CV solutions for retail theft detection, sports performance analysis, and site-safety monitoring.
End-to-End: From data collection and preprocessing to model optimization and cloud deployment.
Collaborative: I seamlessly integrate with software engineering and IT teams.
Consulting & Support: Strategic guidance on architecture, scalability, and best practices.
Tech stack includes PyTorch, YOLO, OpenCV, TensorFlow, Flask, Streamlit, Docker, deployed on AWS/GCP as needed.
MESSAGE ME FIRST TO DISCUSS UR USECASE!
What I Can Build for You ?
Security & Surveillance
Shoplifting & suspicious behavior detection
PPE & safety compliance (helmets, vests, restricted zones)
Real-time alerts & event logging
Sports Analytics
Player tracking & pose estimation
Action recognition & movement analysis
Automated performance metrics & insights
Traffic & Monitoring
License plate recognition (ANPR)
Vehicle detection & tracking
Intelligent video analytics pipelines
Why Choose Me?
Industry-Proven: Deployed CV solutions for retail theft detection, sports performance analysis, and site-safety monitoring.
End-to-End: From data collection and preprocessing to model optimization and cloud deployment.
Collaborative: I seamlessly integrate with software engineering and IT teams.
Consulting & Support: Strategic guidance on architecture, scalability, and best practices.
Tech stack includes PyTorch, YOLO, OpenCV, TensorFlow, Flask, Streamlit, Docker, deployed on AWS/GCP as needed.
MESSAGE ME FIRST TO DISCUSS UR USECASE!
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation SystemAI Tools
Amazon SageMaker, Azure Machine Learning, Keras, MATLAB, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, Sonnet, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 2 | 4 | 5 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Frequently asked questions
About Muhammad Muneeb
Senior Computer Vision & AI Engineer | Edge AI, VLMs & Spatial AI
Rawalpindi, Pakistan - 5:07 am local time
I don’t just train bounding-box detectors. I architect production-grade AI, Multi-Object Tracking, and Agentic Vision systems that turn raw, messy video streams into autonomous business intelligence.
Worked as a Computer Vision & Machine Learning Engineer for a UK-based sports analytics company (HITAI), I build real-time video pipelines that handle severe occlusion, poor lighting, motion blur, and edge-computing latency constraints daily.
Also Worked as a Head of AI Software Development for a UK corporate group (TADGT Group), I led the architectural design and go-to-market delivery of commercial AI products, including real-time retail surveillance and automated loss-prevention systems.
Whether you need to map athlete coordinates to a 2D/3D court, automate loss prevention in retail, or connect Vision-Language Models (VLMs) to autonomous alerting workflows, I build systems that work outside the lab.
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🔥 CORE DOMAINS & READY-TO-DEPLOY SOLUTIONS
⚽ Sports Biomechanics & Spatial Analytics
• Built broadcast sports pipelines (Padel, Basketball, Combat Sports) using YOLOv8 + ByteTrack for multi-player tracking and custom YOLO-Pose (13–17 point skeletal pose estimation).
• Specializing in TrackNet ball tracking, homographic 2D court projection, velocity curves, and positional heatmaps.
🛡️ Autonomous Surveillance, Loss Prevention & Retail AI
• Developed real-time Shoplifting & Intrusion Detection pipelines with custom polygon zones, WebSocket alerts, and pre/post-incident video buffering.
• Built end-to-end Gun Detection systems integrated with Gemini-powered AI Agents that autonomously describe scenes, ground camera locations, and trigger dispatch protocols.
🚗 Traffic, ANPR & Industrial Vision
• Automatic License Plate Recognition (ALPR) using YOLOv8 + EasyOCR + SORT tracking.
• Real-time traffic density, driving violation detection, and automated defect-inspection APIs.
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🛠️ TECHNICAL STACK
• Perception & Tracking: YOLO (v8/v11), ByteTrack, DeepSORT, MediaPipe, Open3D, PyTorch3D
• Action & Biomechanics: SlowFast, Custom Pose Estimation, Spatial Homography
• GenAI & Agentic AI: VLM Integration (Gemini, GPT-4o), LLM Tool-Calling, Automated Decision Loops
• Production Backend: FastAPI, WebSockets, RTSP/Live CCTV Pipelines, OpenCV, Python
• Infrastructure & Edge: Docker, TensorRT, ONNX, Cloud Inference (AWS, GCP)
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💡 HOW WE WORK TOGETHER
1. Architectural Review: You send me your use case, camera specs, or sample footage.
2. Direct Assessment: I evaluate latency budgets, lighting constraints, and deployment targets (Edge vs. Cloud).
3. Production Delivery: You get clean, modular, well-documented code with structured JSON/API outputs, not a research experiment.
If you are building an intelligent camera system, a sports analytics tool, or an autonomous video monitoring platform, send me a message with a brief description of your project. Let's scope out your architecture today.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Muneeb can start the project.
Delivery time starts when Muhammad Muneeb receives requirements from you.
Muhammad Muneeb works on your project following the steps below.
Revisions may occur after the delivery date.
Revision
Client satisfaction is my primary goal.