Abstract
Urbanization and the rapid increase in vehicle ownership have intensified parking
challenges, leading to congestion, wasted time, fuel consumption, and
unauthorized access in public and private facilities. Traditional parking systems
relying on manual supervision and paper tickets are inefficient and prone to
errors. To address these issues, this project proposes an IoT-based Smart
Parking System integrated with Face Recognition for vehicle access control.
The system employs an ESP32-CAM to capture and authenticate the driver’s
face against a registered database. Authorized users gain seamless entry through
a servomotor-controlled gate, ensuring enhanced security. Parking slot detection
is achieved using an IR sensors, which continuously monitor occupancy and
updates availability in real time. This data is transmitted via WiFi to a cloud
platform such as Firebase, enabling remote monitoring and management through
a website dashboard. The methodology follows a structured workflow: vehicle
detection at the entrance, face capture and recognition, automated gate control,
slot occupancy detection, cloud synchronization, and real-time display of parking
status. A field survey conducted among drivers, students,s and parents confirmed
the pressing need for such automation, highlighting delays and inefficiencies in
conventional parking systems. This integrated solution leverages IoT and sensor
technologies to deliver secure, efficient, and user-friendly parking management.
It reduces waiting time, prevents unauthorized access, ss and optimizes space
utilization. The proposed system is highly adaptable for deployment in offices and apartments,nts contributing to sustainable urban mobility. By combining intelligent
sensing, cloud connectivity, and biometric authentication, the project
demonstrates a scalable model for next-generation parking systems that enhance
convenience, security, and operational efficiency in modern urban environments.