Optimized AI-Powered ANPR/LPR System with Barrier Control
Budget: $250 – $750 USD
Project Description:
We are looking for an experienced Machine Learning and Artificial Intelligence developer to finalize and optimize our Automatic Number Plate Recognition (ANPR / LPR) solution. The project is already in progress, with a user interface designed in Figma and developed in React.
We need an expert to improve the accuracy and speed of license plate recognition and to assist us in managing barriers directly from the system.
Required Skills:
Expertise in Computer Vision and Deep Learning
Experience with TensorFlow, PyTorch, or OpenCV
Strong knowledge of OCR models and real-time image processing
Development in Python (or C++ if needed)
Integration and optimization on servers, edge computing, or embedded systems
Knowledge of API development for interaction with the React interface
Experience with managing and controlling physical equipment (e.g., automatic barriers, relays, IoT, etc.) is a plus
Main Responsibilities:
Optimize and finalize the license plate recognition model
Improve the system’s speed and accuracy
Integrate and manage barrier control within the system
Work with the frontend team to ensure seamless communication between the AI model and the user interface
Deploy and test the solution in real-world conditions
We are looking for an experienced Machine Learning and Artificial Intelligence developer to finalize and optimize our Automatic Number Plate Recognition (ANPR / LPR) solution. The project is already in progress, with a user interface designed in Figma and developed in React.
We need an expert to improve the accuracy and speed of license plate recognition and to assist us in managing barriers directly from the system.
Required Skills:
Expertise in Computer Vision and Deep Learning
Experience with TensorFlow, PyTorch, or OpenCV
Strong knowledge of OCR models and real-time image processing
Development in Python (or C++ if needed)
Integration and optimization on servers, edge computing, or embedded systems
Knowledge of API development for interaction with the React interface
Experience with managing and controlling physical equipment (e.g., automatic barriers, relays, IoT, etc.) is a plus
Main Responsibilities:
Optimize and finalize the license plate recognition model
Improve the system’s speed and accuracy
Integrate and manage barrier control within the system
Work with the frontend team to ensure seamless communication between the AI model and the user interface
Deploy and test the solution in real-world conditions