Parking System

Smart parking systems aim to alleviate traffic congestion and improve parking efficiency through automated detection of available spaces and vehicle location. Current research focuses on computer vision techniques, particularly deep learning models like convolutional neural networks (CNNs), for tasks such as license plate recognition, parking spot occupancy detection, and even calorie expenditure estimation in park settings using face recognition. These advancements leverage automated data processing to reduce manual labor and improve accuracy, impacting urban planning, traffic management, and even personalized fitness tracking.