Smart Parking System with Real-Time Occupancy Detection and DataAnalytics

Efficient Parking Management with Computer Vision Smart System

Our team developed a cutting-edge smart parking system to address parking management challenges.The system leverages image recognition cameras and OpenCV for real-time parking occupancy detection.

Real-Time Data Collection and Analysis

The smart parking system collects real-time data on parking occupancy. It analyzes the data to provide valuable insights on parking demand and utilization.

IoT-powered Smart Parking Solution

Pi Camera captures real-time images of parking spaces. Raspberry Pi serves as the central processing unit, running image recognition and computer vision algorithms. Python is used for software implementation, providing tools for image processing, computer vision, and data analysis.

Leveraging Python for Parking Space Analysis

Python’s libraries enable parking space analysis in the smart system.It identifies parking spaces, detects occupancy, and generates insights on demand & utilization.

Tech Stack

Python
AWS OpenSearch
BedRock
Langchain

Overview

Smart parking solution that revolutionizes traditional parking infrastructure by leveraging wireless cameras, computer vision technology and advanced analytics. The application empowers parking lot facilitators to optimize space usage effectively.
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