You will get ANPR/LPR license number plate recognition with the camera using python
Project details
This is for the ALPR(Automatic License Plate Recognition).
I can get any video using rtsp stream or direct video source.
I can use open CV and other ALPR service API for license recognition.
Calibration can be used for skewed and rotated images. I can find the number on any angle of car. Customization can be provide as per request.
IOT Package
IOT or gate control package also available on successfully recognition of car. I can control any device using ANPR process. you can set the triggers for turn On/Off. You can open the barrier gate for listed cars.
Wep Application
For premium package, i will provide the web app with dashboard for keep monitoring and add the vehicle list with given below functionality.
Add Number plate with Black list car, white list car or visitor cars.
Get notification on black list car
Search car by number plate, owner name and custom filter.
Save Car image and show in report
Blur Number Plate
I can detect the Number Plate and can blur specific area
I can get any video using rtsp stream or direct video source.
I can use open CV and other ALPR service API for license recognition.
Calibration can be used for skewed and rotated images. I can find the number on any angle of car. Customization can be provide as per request.
IOT Package
IOT or gate control package also available on successfully recognition of car. I can control any device using ANPR process. you can set the triggers for turn On/Off. You can open the barrier gate for listed cars.
Wep Application
For premium package, i will provide the web app with dashboard for keep monitoring and add the vehicle list with given below functionality.
Add Number plate with Black list car, white list car or visitor cars.
Get notification on black list car
Search car by number plate, owner name and custom filter.
Save Car image and show in report
Blur Number Plate
I can detect the Number Plate and can blur specific area
Programming Languages
Python, ASP.NET, C#Coding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$40
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 2 days |
Number of Revisions | 0 | 2 | 5 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
About Ayazullah
AI & LLms Developer | BIM (Revit & staad pro) Developer
Dubai, United Arab Emirates - 9:29 am local time
✅ About Me
I’m a multidisciplinary engineer and developer with 16+ years of experience delivering intelligent, automated, and scalable solutions across software, hardware, and construction tech domains.
I specialize in:
BIM Automation (STAAD.Pro, Revit & Etabs): Created custom tools and APIs for automated structural analysis, geometry generation, BOQ/BOM extraction, and design validation based on Unity Ratio, loading checks, and member performance.
AI & LLM Integration: Custom solutions using OpenAI, DeepSeek, LLaMA, LangChain, and vector databases for offline and real-time use cases. Trained and fine-tuned models for tasks like natural language processing, chatbot development, and document query systems.
Computer Vision & Deep Learning: Expertise in YOLO, OpenCV, OCR (PaddleOCR, EasyOCR), object tracking, ANPR systems, speed estimation, and smart surveillance. Optimized GPU-based inference for real-time video processing.
IoT & Embedded Systems: Developed end-to-end systems using ESP32, Raspberry Pi, Arduino, SIM7600 modules, sensors, GPS, LIDAR, and relays. Applications include vehicle automation, smart monitoring, and energy-efficient systems with solar/battery support.
💡 I build solutions that:
Reduce manual engineering effort by over 80%
Run efficiently on edge hardware (ESP32/RPi/Jetson)
Enable AI automation even in offline environments
Integrate real-world sensors, smart devices, and BIM data
🛠 Tech Stack & Tools:
AI/ML: Python, PyTorch, HuggingFace, ExLLaMA, TensorFlow, OpenAI API, LangChain, FAISS, LlamaIndex
CV & Imaging: YOLOv5/v8, OpenCV, DeepSort, PaddleOCR, MediaPipe
Embedded: Arduino IDE, PlatformIO, ESP-IDF, MQTT, I2C/SPI/UART, low-power logic
BIM: STAAD.Pro Open API, Revit API, Dynamo Scripts, AutoCAD automation
Languages: Python, C/C++, C#, SQL, MATLAB, Bash, JavaScript (minimal)
🌍 Industries Served:
Smart Surveillance & Traffic Automation
Structural Engineering & Digital Construction
Industrial IoT Systems
AI Document Assistants and Chatbots
Trading bot developers
Steps for completing your project
After purchasing the project, send requirements so Ayazullah can start the project.
Delivery time starts when Ayazullah receives requirements from you.
Ayazullah works on your project following the steps below.
Revisions may occur after the delivery date.
You will give me sample picture or video for testing
You will give me sample picture or video for testing