Sustainable Parking Innovations: Enhancing Security with IoT and Facial Image Recognition

Abstract

Technology has advanced quickly today. The parking lot is one location where technology is used. The world’s most technologically advanced parking lots can currently recognize a vehicle plate image, but it is believed that by using Internet of Things (IoT) technology that is connected with facial recognition photographs, it will be even better. The manual screening done by security agents is one of the parking issues. Naturally, this will take time, and the level of security is also poor because there is no verification when you enter. Only at the moment of exit are checks made, and the officer making the check is not always the same and does not have the vehicle owner’s memory. The adoption of this facial image recognition technology is expected to increase the parking system’s security. This service does not require training data. The proposed system makes use of real-time data, low-cost sensors, and user-friendly applications to enable users to track parking availability in real time. The aim is to streamline the parking search process by automating the identification of optimal parking spots, whether it be the ideal floor, location, or lot, thereby minimizing manual search time. The integration of low-cost sensors not only enhances cost-effectiveness but also reduces the ecological footprint associated with traditional parking systems and also promotes a more resilient and eco-friendly urban environment for the benefit of both users and lot owners.