ParkSense: Smart Parking Violation Detection using Rover

ParkSense is an AI-powered real-time parking monitoring system designed for smart campus environments, equipped with cameras and sensors to autonomously scan parking lots and detect parking violations—such as students parking in reserved faculty spots.

Key Features: ->Real-time number plate detection using YOLO object detection

->OCR-based license plate text extraction

->Student vs Faculty slot validation using a custom rule engine

->Jetson Nano-based edge computing for fast, local inference

Technologies Used: ->YOLOv8 for object detection

Paddle OCR

Python + OpenCV

Jetson Nano for onboard computation

Linux-based rover for test deployment

Use Case: Originally developed for a college parking system, ParkSense ensures efficient and fair parking by detecting and notifying administrators of any unauthorized vehicle placements.