Vehicle Counting in Parking Lot | Real-Time Detection Using Deep Learning

Welcome to our demo of a real-time vehicle counting system designed to monitor parking lot occupancy using deep learning and computer vision. This project leverages a Convolutional Neural Network (CNN) to automatically identify and classify parking slots as occupied or vacant from video feeds.

Key Features:
- Real-time parking slot detection
- Accurate vehicle counting using CNN
- Visual overlay on video for clear slot status
- Built with Python, OpenCV, and TensorFlow
This system aims to enhance urban parking management and support smart city infrastructure by improving space utilization and reducing traffic congestion.

Technologies Used:
Python • OpenCV • TensorFlow/Keras • NumPy

GitHub Repository:
https://github.com/sruthi7sri/Vehicle-Counting-in-Parking-Lot

Collaborators:
- Sruthisri Venkateswaran
- Saroja Vuluvabeeti
- Sri Sakthi Thirumagal Poovannan

Видео Vehicle Counting in Parking Lot | Real-Time Detection Using Deep Learning канала Sruthisri Venkateswaran