You will get AI License Plate Recognition (ALPR) with YOLOv11 & RTSP
Project details
I build AI-powered License Plate Recognition (ALPR/ANPR) systems that process live RTSP/IP camera streams to detect vehicles, recognize license plates, and track vehicle events in real time.
The system combines YOLOv11 for vehicle and plate detection with OCR, tracking, and intelligent plate processing to improve recognition consistency across video frames.
### What I can build
• Real-time license plate detection and recognition
• YOLOv11 vehicle and plate detection
• OCR-based plate reading
• Multi-frame plate stabilization
• Vehicle tracking and event logging
• RTSP/IP camera integration
• SQL database storage
• Authorized, visitor, or blocked vehicle lists
• Entry/exit monitoring
• REST API and web dashboard integration
• GPU/edge deployment
The system can be adapted for parking facilities, apartment buildings, gated communities, offices, warehouses, campuses, and other controlled-access environments.
I can integrate the ALPR pipeline with your existing cameras, database, access-control system, or web application.
The system combines YOLOv11 for vehicle and plate detection with OCR, tracking, and intelligent plate processing to improve recognition consistency across video frames.
### What I can build
• Real-time license plate detection and recognition
• YOLOv11 vehicle and plate detection
• OCR-based plate reading
• Multi-frame plate stabilization
• Vehicle tracking and event logging
• RTSP/IP camera integration
• SQL database storage
• Authorized, visitor, or blocked vehicle lists
• Entry/exit monitoring
• REST API and web dashboard integration
• GPU/edge deployment
The system can be adapted for parking facilities, apartment buildings, gated communities, offices, warehouses, campuses, and other controlled-access environments.
I can integrate the ALPR pipeline with your existing cameras, database, access-control system, or web application.
AI Development Type
Deep Learning, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$149
|
Standard
$499
|
Advanced
$999
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 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 RTSP Camera
(+ 1 Day)
+$100
Web Dashboard
(+ 2 Days)
+$200
SQL Database
(+ 2 Days)
+$250Frequently asked questions
About Suhal
Senior AI/ML & Computer Vision Engineer | Edge AI & Video Analytics
Chattogram, Bangladesh - 6:07 pm local time
If you're working with RTSP streams or surveillance cameras and need intelligent monitoring with alerts, I can help you design and deploy a production-ready system that actually works in real environments.
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👍 Proven Results
- Built a real-time system processing 16+ RTSP camera streams simultaneously
- Achieved 95% detection accuracy with live alerting
- Designed scalable multi-camera pipelines with dashboard integration
- Optimized models for edge devices (Jetson, Raspberry Pi)
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👍 What I Can Build For You
1) AI-powered CCTV monitoring systems (real-time detection & alerts)
2) Shoplifting / abnormal activity detection for retail
3) Smart apartment security (intrusion, loitering, tailgating detection)
4) PPE detection systems (helmet, vest compliance) for factories
5) Multi-camera RTSP analytics dashboards
6) Edge AI deployment for low-latency, on-device inference
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👍👍 Core Expertise
### Real-Time Computer Vision
1) RTSP / CCTV stream processing (OpenCV, YOLO, TensorFlow)
2) Object detection, tracking & behavior analysis
3) Multi-camera system architecture & optimization
### Edge AI & Optimization
- NVIDIA Jetson / Raspberry Pi deployment
- TensorRT, quantization, pruning for fast inference
### AI System Development
- End-to-end pipeline: data → model → deployment
- Flask / FastAPI / Streamlit apps for real-time interaction
- GStreamer, FFmpeg for video processing
### AI Dashboards & SaaS Integration
- React / Next.js dashboards for live analytics
- Alerts, logs, heatmaps, and monitoring systems
- Full-stack AI SaaS solutions (backend + frontend + deployment)
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## Bonus Capabilities (When Needed)
- AI Assistants & LLM integration (Chat with your data, automation tools)
- Predictive analytics & anomaly detection
- Time-series modeling and forecasting
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## How I Work
1. Understand your camera setup & use case
2. Design a scalable AI pipeline tailored to your needs
3. Build and optimize the model for real-world performance
4. Deploy with dashboards, alerts, and monitoring
5. Support, iterate, and improve accuracy over time
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## Why Work With Me?
1) I focus on real-world performance, not just model accuracy
2) I’ve built systems that run continuously on live camera feeds
3) I understand both AI and production deployment challenges
4) I deliver clean, scalable, and maintainable solutions
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## Let’s Build Something Intelligent
If you're looking to upgrade your CCTV system with AI or build a smart surveillance solution from scratch, I’m ready to help.
Send me a message and let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Suhal can start the project.
Delivery time starts when Suhal receives requirements from you.
Suhal works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1 — Requirements & Data Review
Review your camera streams, sample videos/images, plate format, and integration requirements.
Step 2 — ALPR Model Setup
Configure YOLOv11 vehicle and license plate detection with OCR recognition.