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Automated parking system

image of different IOT elemants
  • LLM aided product research tool
  • Product database design
  • Web app development with admin dashboard
  • Custom user product listing

In the pursuit of modernizing urban infrastructure, the creation of an automated car parking system stands as a pivotal development. This technical article delves into the intricate details of building a Smart Car Parking System that seamlessly integrates license plate detection at the entrance and real-time monitoring for parking violations using the sophisticated YOLOv4 model. The technical prerequisites for this endeavour encompass a robust hardware setup, including a powerful GPU for accelerated model inference and strategically positioned cameras both at the entrance and within the parking area. The software stack involves a Python environment with essential packages such as NumPy, OpenCV, TensorFlow, and a YOLOv4 model fine-tuned on a dataset containing annotated images of license plates.

Technology stack


  • Html
  • Tailwind
  • React js
  • Next js


  • Django
  • MongoDB


  • Aws
  • Github

QA & Project Management

  • Notion
  • Jenkins
  • Robot

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