I will develop vehicle detection, license plate recognition and traffic analytics
Computer Vision Sports AI Motion Tracking Object Detection Face Recognition
About this Gig
Need an AI-powered traf fic analytics or license plate recognition system?
I develop advanced Computer Vision solutions for intelligent transportation systems using OpenCV and AI. Whether you need vehicle detection, license plate recognition (ANPR), traffic monitoring, parking management, or smart city analytics, I can build a reliable and scalable solution tailored to your project.
My systems can detect and classify vehicles, recognize license plates, monitor traffic flow, estimate vehicle speed, generate reports, and integrate with existing cameras, databases, APIs, and management platforms. Every solution is optimized for real-time performance, high accuracy, and production deployment.
What I offer
- Vehicle detection and classification
- License plate recognition (ANPR)
- Traffic flow and congestion analysis
- Smart parking and vehicle counting
- API integration, deployment, and source code
Let's build a modern AI traffic solution that improves monitoring, automation, and operational efficiency.
Programming language:
Python
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MATLAB
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Java
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MLflow
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Lisp
Frameworks:
DeepPy
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Google ML Kit
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SimpleCV
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Keras
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PyTorch
FAQ
Can you deploy the solution on edge devices?
Yes. Deployment is available for cloud servers, local servers, NVIDIA Jetson, Raspberry Pi, and other supported hardware.
Will I receive the source code?
Yes. Source code is included according to your selected package.
Can you generate traffic reports and dashboards?
Absolutely. I can create dashboards with vehicle counts, traffic trends, congestion analysis, and historical reports.
Can the system classify different vehicle types?
Yes. Cars, buses, trucks, motorcycles, bicycles, and custom vehicle classes can be detected and classified.
