I will build anpr license plate recognition software with yolo
Computer Vision, Deep Learning Expert, YOLO, OpenCV, Object Tracking
About this Gig
Upgrade your modern smart traffic monitoring, automated toll roads, or parking gate systems. I will develop a high-performance ANPR license plate recognition framework leveraging custom-trained YOLO architectures and state-of-the-art OCR tools like EasyOCR or PaddleOCR.
The pipeline works in a clean two-step method: first, an optimized object location model isolates the vehicular license plate zone; second, a deeply tuned text recognition model extracts the exact alphanumeric data. This ensures high structural accuracy even under challenging conditions like fast-moving vehicles, skewed camera viewing angles, or bad lighting.
Services Included:
- Multi-stage vehicle and plate extraction networks
- Text parsing filters to remove image noise artifacts
- Relational database logging (SQLite, MySQL, PostgreSQL)
- Low-latency video text reading optimization
- API endpoints for third-party gate controller links
Why Choose Me:
- Extensive experience handling international license plate formats
- Database optimization for rapid plate verification lookups
- Full post-gig deployment assistance included
Bring high-speed intelligence to your traffic operations. Contact me now
Programming language:
Python
•
R
•
MATLAB
•
SQL
•
Colab
Frameworks:
Scikit-learn
•
DeepPy
•
Google ML Kit
•
SimpleCV
•
Keras
FAQ
How does your ANPR pipeline handle plates from different countries or states?
I optimize the OCR text parser using custom regex matching and regex filters designed specifically to match your target region's character layouts.
What happens if the vehicle's plate is tilted or viewed from a sharp side angle?
I implement a perspective transformation step (spatial transformer) that automatically straightens the cropped plate image before sending it to the OCR.
Can we cross-reference read plates against an internal visitor database whitelist?
es, the premium package natively handles real-time database queries to cross-check extracted numbers against whitelists or blacklists in milliseconds.
