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 Engineer | Real-Time AI Video Analytics
Rawalpindi, Pakistan - 7:40 pm local time
I build real-time AI systems that turn live video into actionable intelligence, whether that’s detecting fire in a facility, flagging suspicious behavior in retail, or analyzing player movement in sports.
Most computer vision models work in a notebook.
Mine run in production, on edge devices, in the cloud, or across multi-camera systems.
I specialize in designing full end-to-end pipelines:
• Data strategy and annotation design
• Model selection, training and fine-tuning
• Latency optimization (real-time performance)
• Multi-object tracking and action recognition
• Edge deployment (Jetson, TensorRT)
• Cloud APIs and scalable architecture
• Monitoring and performance improvement
🔎 What I Build
🚨 Surveillance & Safety AI
Real-time fire detection, shoplifting detection, intrusion monitoring, license plate recognition, behavioral analysis systems.
⚽ Sports Analytics
Player tracking, action recognition, pose-based performance analysis, automated highlight tagging, multi-camera tracking pipelines.
🏭 Industrial Vision
Defect detection, visual inspection systems, OCR pipelines, automated monitoring.
⚙ Technical Foundation
Deep Learning: PyTorch, TensorFlow
Detection & Tracking: YOLO, DeepSORT, ByteTrack
Action Recognition: SlowFast, R(2+1)D
Optimization: TensorRT, ONNX, Edge deployment
Backend & APIs: FastAPI, Flask
Cloud: AWS, GCP
Deployment: Docker, GPU inference pipelines
I don’t just train models.
I design production-ready AI systems that remain accurate under poor lighting, occlusion, motion blur, and real-world constraints.
If you are building:
• A smart surveillance system
• A sports analytics product
• A real-time AI camera application
• An edge-deployed vision system
Send me a brief description of your use case, and I’ll outline how I would architect your solution.
Let’s build something that works outside the lab.
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.