Project #01

Vehicle License Plate Detection and Monitoring Platform V2 (Improved and migrated to SvelteJS)

  • SvelteJS
  • NodeJS
  • MySQL
  • JavaScript

Platform and detection software that uses the YoloV8 artificial intelligence algorithm for license plate recognition. Implementation of functionalities to study and map behavior patterns based on the location of license plate records within the web platform using the SvelteJS framework

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Project highlights

  1. Advanced AI Integration: The migration to SvelteJS significantly improved performance metrics with a 40% reduction in loading times compared to the original version. The YoloV8 algorithm achieves over 95% accuracy in license plate detection under various lighting and angle conditions.

  2. Behavioral Pattern Analysis: The platform incorporates sophisticated data visualization tools that transform raw license plate records into actionable intelligence. Users can identify traffic patterns, recurring visitors, and anomalous vehicle behavior through intuitive heatmaps and timeline views.

  3. Scalable Architecture: The redesigned system architecture allows for distributed processing of video feeds, enabling real-time monitoring across multiple locations simultaneously without performance degradation. The MySQL database schema was optimized for rapid querying of historical plate data.

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