You will get Production-Ready AI Systems For Security And Real-Time incident detection.
Project details
I'm Muneeb, a Computer Vision & ML specialist. I develop production-ready, industry-grade AI systems for security, sports, and retail analytics.
What I Offer
Basic CV Services
Object Detection (YOLO, Detectron2)
Pose Estimation (OpenPose, MediaPipe)
Action Recognition (3D CNNs, X3D)
Model Training & Fine-Tuning
Expert Consulting & Code Reviews
Advanced CV Services
Multi-Object Tracking & Analytics
Real-Time Video Analytics
License Plate, Face Recognition & Incident Detection
Custom Algorithm Design & Optimization
Scalable Deployment (Docker, Flask, AWS)
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.
Use Cases:
Shoplifting & Theft Detection in malls or stores
License Plate Recognition for parking and security
Sports Analytics: player tracking, action stats
Construction Site Safety: helmet & vest compliance
What I Offer
Basic CV Services
Object Detection (YOLO, Detectron2)
Pose Estimation (OpenPose, MediaPipe)
Action Recognition (3D CNNs, X3D)
Model Training & Fine-Tuning
Expert Consulting & Code Reviews
Advanced CV Services
Multi-Object Tracking & Analytics
Real-Time Video Analytics
License Plate, Face Recognition & Incident Detection
Custom Algorithm Design & Optimization
Scalable Deployment (Docker, Flask, AWS)
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.
Use Cases:
Shoplifting & Theft Detection in malls or stores
License Plate Recognition for parking and security
Sports Analytics: player tracking, action stats
Construction Site Safety: helmet & vest compliance
Machine Learning Tools
Amazon SageMaker, BERT, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, Keras, Microsoft Excel, Microsoft Power BI, MLflow, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, Tableau, TensorFlow, Tesseract OCR, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$1,000
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 30 days |
Number of Revisions | 1 | 1 | 2 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 1 | 3 |
Number of Graphs/Charts | 1 | 2 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Muhammad Muneeb
Senior Computer Vision Engineer | Real-Time AI Video Analytics
Rawalpindi, Pakistan - 7:32 am 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.
Detailed Project Scope Discussion
Before starting, I will discuss your requirements thoroughly to understand the exact security scenario, data sources, and performance goals. This ensures the solution I build matches your needs perfectly.