You will get a custom object detection and tracking pipeline for video and CCTV feeds
Top Rated
Project details
I build multi-object detection and tracking pipelines that hold identity through occlusion, camera cuts, and crowded scenes — for people, vehicles, products, or anything you need counted, followed, or analyzed across video. Detection alone is easy; reliable tracking under real conditions is the hard part, and that's what I specialize in.
Stack: YOLO (v8–v11), RT-DETR for detection; ByteTrack, DeepSORT and custom Re-ID embeddings for tracking. You get measured accuracy on your footage, counting/analytics logic if needed, and deployable code.
Stack: YOLO (v8–v11), RT-DETR for detection; ByteTrack, DeepSORT and custom Re-ID embeddings for tracking. You get measured accuracy on your footage, counting/analytics logic if needed, and deployable code.
AI Development Type
Deep LearningAI Tools
Amazon SageMaker, Azure Machine Learning, Keras, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 10 days | 18 days | 30 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional object class
+$350
Real-time / edge optimization
+$500
Analytics dashboard
+$600
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DG
Dhruv G.
May 12, 2026
Computer Vision | AI | Mentoring | Python DSA
Thanks a lot shah, really appreciate the efforts for educating me, and sharing your knowledge woth me. Really appreciate the efforts, thanks for all thr lessons on python, ai, ml, dl, python and concepts foundations and lessons amd practice.
LP
Ljiljana P.
Apr 23, 2026
Looking for AI, ML Engineer
BB
Burim B.
Feb 21, 2026
Object Detection Research Project: Data Collection, YOLO Training, and Research Paper Writing
I received the support I needed in a clear and professional manner, which made the entire process smooth and stress-free.
RM
Ray M.
Feb 11, 2026
Ocr
He is genuine and honest, and very flexible with time and goal focused, will work with him again
ID
Imran D.
Aug 12, 2025
Build High-Accuracy Object Detection + Identity Tracking Pipeline for Multi-Person Video Clips
About Shah
Computer Vision | AI Video Analytics, Object Detection, OCR & Edge AI
92%
Job Success
Wah Cantt, Pakistan - 12:34 pm local time
Many computer vision projects perform well on sample images but struggle in the real world due to poor lighting, motion blur, camera movement, occlusions, or hardware limitations. I build solutions with these challenges in mind from day one, measuring success on your actual data and deployment environment.
WHAT I CAN BUILD
AI Video Analytics & Object Detection
• Detect custom objects such as people, vehicles, products, defects, PPE, animals, and more.
• Real-time CCTV and surveillance analytics.
• Industrial quality inspection and defect detection.
• Vehicle detection, counting, and traffic analytics.
• Retail customer analytics and people counting.
• Barcode, QR code, and license plate recognition.
Multi-Object Tracking
• Track hundreds of moving objects across video streams.
• Maintain object identities through occlusions and crowded scenes.
• Multi-camera tracking and re-identification.
OCR & Intelligent Document Processing
• Extract structured data from invoices, receipts, IDs, shipping labels, forms, and custom documents.
• Validate and organize extracted information for downstream systems.
Image Segmentation & Vision-Language AI
• Image segmentation for precise object localization.
• Visual Question Answering (VQA), image understanding, and scene analysis using modern Vision-Language Models.
Edge & Cloud Deployment
• Deploy optimized AI pipelines on NVIDIA Jetson, Raspberry Pi, desktop GPUs, or AWS.
• Export models using ONNX and TensorRT for low-latency, real-time inference.
• Build REST APIs and production-ready services with FastAPI and Docker.
MY APPROACH
Every project starts by defining success—not by choosing a model.
Before development begins, we identify:
• Target accuracy
• Required inference speed (FPS)
• Latency requirements
• Deployment hardware
• Real-world failure cases
From there, I build the complete pipeline—from dataset preparation and model training to optimization, API development, and deployment—ensuring the final solution performs reliably in production, not just in controlled testing environments.
INDUSTRIES I WORK WITH
• Manufacturing & Industrial Inspection
• Logistics & Warehouse Automation
• Retail Analytics
• Smart Cities & Traffic Monitoring
• Security & CCTV Analytics
• Healthcare Imaging
• Agriculture
• Research & AI Products
TECHNOLOGIES
Python • PyTorch • TensorFlow • OpenCV • YOLO (v8–v11) • RT-DETR • SAM • ByteTrack • DeepSORT • PaddleOCR • AWS Textract • ONNX • TensorRT • NVIDIA DeepStream • FastAPI • Docker • AWS
WHY CLIENTS WORK WITH ME
✔ Top Rated freelancer with a 90% Job Success Score.
✔ I build production-ready computer vision systems that are designed for real-world environments—not just benchmark results.
✔ I optimize models for your deployment hardware to achieve the best balance between accuracy, speed, and cost.
✔ I manage the complete development lifecycle, from data preparation and model training to deployment and ongoing improvements.
✔ Clear communication, transparent progress updates, and long-term support throughout the project.
If you're looking to automate visual tasks, improve operational efficiency, or build an AI-powered camera system, I'd be happy to help.
Send me a short project brief—or even a few sample images or videos—and I'll recommend the best technical approach, discuss the expected performance, and outline a practical implementation plan before we begin.
Steps for completing your project
After purchasing the project, send requirements so Shah can start the project.
Delivery time starts when Shah receives requirements from you.
Shah works on your project following the steps below.
Revisions may occur after the delivery date.
Review footage & define accuracy/FPS targets
Set up detection