International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
SMARTPARK AI AJINKYA VALANJOO, PUJA VAKHARE, DIVYAM POPTANI, SHREYAS PATIL, NIHARIKA BULANI Dept. of Artificial Intelligence and Data Science, VES Institute of Technology, Mumbai, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract—SMARTPARK AI is an intelligent parking management system aimed at streamlining urban commuting. Leveraging YOLO-based object detection, it analyzes CCTV footage to identify available parking slots in real time, enabling users to locate and book spots quickly. The platform includes a dynamic pricing model that adjusts rates based on time, demand, and occupancy, optimizing both space utilization and revenue. Users can pre-book slots using voice commands, and the system supports multiple languages such as English, Hindi, Marathi, Gujarati, and Bengali. Combining AI, real-time analytics, and user-friendly features, SMARTPARK AI redefines the modern parking experience.
The system also includes a chatbot assistant that provides users with the fastest route to their selected parking slot along with cost estimation based on distance. Moreover, a daily quiz on traffic rules is integrated into the platform to promote road safety awareness. A leaderboard rewards the top performers with discounts, thereby encouraging continued user engagement. By combining AI-powered detection, smart pricing, navigation support, and gamified user interaction, SMARTPARK AI offers a holistic and scalable solution to the modern urban parking crisis.
2. Literature Survey
Key Words: YOLOv5, Real-Time Detection, Dynamic Pricing, Slot Booking, Multilingual Support, Geolocation. Urban Mobility
In this section, we review existing research and approaches related to smart parking systems, real-time object detection, and dynamic pricing models, which form the foundation of Smart Park AI.
1.INTRODUCTION
In [1], the authors explore the use of deep learning models, particularly YOLO, for real-time object detection in various applications, including traffic monitoring and surveillance. The study highlights YOLO’s efficiency in detecting multiple objects with high accuracy, making it a suitable choice for parking slot detection from CCTV footage. This research supports the feasibility of using computer vision-based models, like YOLO, to automate parking management, a core feature of Smart Park AI.
Urbanization has led to a sharp increase in the number of vehicles, resulting in serious parking challenges in metropolitan cities. Drivers frequently spend excessive time searching for vacant parking spots, leading to increased traffic congestion, fuel consumption, and frustration. Traditional parking systems are inefficient and fail to address the growing demand for intelligent and real-time solutions. To overcome these limitations, we present SMARTPARK AI, a smart parking management system that integrates Artificial Intelligence (AI), computer vision, and real-time data processing. The system leverages YOLOv5-based object detection to process live CCTV footage and accurately detect vacant parking slots, enabling users to locate and reserve available spaces efficiently.
In [2], X. Zhang et al. discuss the integration of AI and IoT for smart parking solutions. They propose a cloud-based system that collects parking lot data via IoT sensors, which is then processed using machine learning algorithms. While IoT-based approaches improve parking availability prediction, they require additional infrastructure, unlike our vision-based approach, which solely relies on existing CCTV networks. This makes Smart Park AI a more scalable solution, as it eliminates the need for extra hardware while still ensuring efficient parking management.
SMARTPARK AI also incorporates a dynamic pricing model, which varies parking fees based on demand, occupancy, time, and location. This ensures optimized space utilization and promotes fair pricing strategies for users while increasing revenue potential for parking providers.
In [3], A. Sharma et al. present an automated parking reservation system that allows users to book slots in advance. Their study emphasizes the role of mobile applications in improving the user experience by providing real-time slot availability. However, their approach lacks an AI-based detection mechanism. Smart Park AI, on the other hand, integrates YOLO-based realtime detection with a slot booking feature, making it a more comprehensive solution for both detecting available spaces and facilitating reservations.
In addition to real-time detection, the platform offers advanced features such as slot booking up to one hour in advance, voice-assisted reservation, and multi-language support (English, Hindi, Marathi, Gujarati, and Bengali), enhancing accessibility for a diverse user base.
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