| Title | Intelligent Face Recognition Based Multi-Location Linked IoT Based Car Parking System |
|---|---|
| ID_Doc | 42804 |
| Authors | Rajyalakshmi, V; Lakshmanna, K |
| Title | Intelligent Face Recognition Based Multi-Location Linked IoT Based Car Parking System |
| Year | 2023 |
| Published | |
| Abstract | Many nations are adopting smart city applications, which boost residents' satisfaction with their living conditions and reduce pollution by better-using people's time and resources. Multi-Location parking garages are standard in smart cities because they allow for better access control and space allocation to avoid traffic and delay in complex business areas. The Internet of Things (IoT) has the potential to link billions of devices and services worldwide, at any time, and for a wide range of uses. Smart parking is currently one of the most talked-about subjects in IoT research. More than a million cars are on the roadways of a contemporary major city, but more parking spots are needed to accommodate them. The main idea of the research is to link multiple parking stations as a single unit using IoT and to design a shared parking system to avoid delays in parking. An intelligent parking system is proposed in this research to help users overcome the challenge of locating parking and reduce the time spent searching for the closest accessible parking spot. In order to ensure the safety of highly restricted places such as residential areas, military bases, and government buildings, the system has developed to serve as the centralized automatic vehicle identifier for owner identification.When a vehicle enters the parking station, the slot number will display with the vehicle number and capture the Driver's image to maintain vehicle security. If the slots are unavailable, the model displays the corresponding parking station slot number to avoid delay. The image processing technique is applied to recognize the driver/owner of a vehicle while leaving the parking station to avoid the theft of vehicles and to enhance vehicle security. Suppose a driver is allowed or denied access to a particular parking station. In that case, they can see this information clearly on the user interface installed at the exit gate. The proposed algorithm is an Intelligent Face Recognition based Multi-Location Linked IoT-based Car Parking System (IFRbMLL-IoT-CPS) for secure car parking that reduces parking delay with better efficiency levels. The proposed system also reduces traffic congestion, saves drivers valuable time and money, innovative natural resource usage, lowers pollution, wastage of fuel, and improves vehicle security. The proposed model exhibits better performance when contrasted with traditional models. |
| https://ieeexplore.ieee.org/ielx7/6287639/6514899/10210415.pdf |
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