🚗Automated Vehicle Surveillance : From Number Plate Detection to RTO Integration📷 || Python projects
🚗 Welcome to the Future of Traffic Management! 🚗
In this video, we dive deep into a groundbreaking project that leverages AI and Streamlit to transform how we monitor and enforce traffic laws. Here's what you'll learn:
Vehicle Detection: Using the powerful CocoSSD model, we accurately detect and crop the vehicle from any image.
Number Plate Detection: With a specialized Russian number plate detection model, we focus on the most critical part – the number plate.
Text Extraction: Utilizing EasyOCR, we extract the text from the number plate, ensuring precise recognition.
RTO Integration: After user confirmation, we send the extracted number plate details to the official RTO using Rapid API to fetch comprehensive vehicle records.
Enforcement Automation: Our system checks the vehicle's PUC and insurance status, automatically imposing fines via SMS if these are missing, and saves the details in the police database.
Blacklist Detection: We maintain a list of blacklisted vehicles. If a detected number plate matches, we immediately notify the nearby police station with the vehicle's location.
This innovative project is hosted on Streamlit, making it easy to demonstrate and share.
Watch till the end to see a live demo and understand the intricacies of building and deploying this AI-powered solution. Whether you're a developer, an AI enthusiast, or someone interested in smart city solutions, this video is packed with valuable insights.
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