PlateSense is an advanced vehicle number plate recognition system that actively uses image processing to efficiently recognize and store registered vehicle numbers. It detects and captures vehicle numbers and images, locates the number plate region, and performs image segmentation to isolate characters. The system then actively extracts and saves the plate’s information in a database with a timestamp. PlateSense implements PictoBlox software to detect license plates and store the extracted characters. Bharti successfully demonstrated an accurate and reliable prototype, meeting all the specified requirements in the analysis. This innovative system finds applications in various domains, including vehicle tracking, traffic monitoring, toll collection, surveillance systems, and parking management. With its advanced capabilities and reliable performance, PlateSense offers an efficient solution for automating number plate recognition and data storage.
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Automated Vehicle Number Plate Recognition System
- Credit: Project created by Sparsh Parwani from India
- Project Category: Hardware
- PictoBlox Extensions: Dabble, Display Modules – evive & Arduino
- Project Tag: Codeavour 2022, Machine Learning, Pictoblox