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Smart city article details
| Title | Smart Monitoring And Guidance System For Parking Spaces |
|---|---|
| ID_Doc | 51234 |
| Authors | Manvanth G.S.; Pavan Kumar A.; Priyanka V.D.; Goduguluri V.; Ravish R. |
| Year | 2024 |
| Published | Proceedings - International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024 |
| DOI | http://dx.doi.org/10.1109/IC2PCT60090.2024.10486570 |
| Abstract | A parking system refers to the infrastructure and technology used to manage and facilitate the parking of vehicles in a specific area. These systems are designed to streamline the process of finding parking spaces, enhance efficiency, and improve overall traffic management. The proposed system is designed to address the challenges faced by open space parking spaces in major metropolitan cities. The prevailing issue of locating parking spaces in busy urban settings is tackled using Machine Learning (ML) model. Smart Monitoring and Guidance system is a ML based technology which allows the users to find vacant parking slots in a given area. The system uses ML model over Internet of Things (IoT) based solutions as scaling and maintenance is easier using ML models. The system provides real time information to the users about the total number of parking slots available at a parking space using image processing. The users can select a parking space of their choice. Upon selecting a suitable parking space, users are provided with real-time navigation assistance to the parking space of their choice. ML model improves the overall efficiency, reliability, and robustness of the system. The system obtains parking information of multiple parking spaces by processing their video footages concurrently. The system provides users with real-time navigation to the parking space thus providing the users and hassle free experience. © 2024 IEEE. |
| Author Keywords | Directions assistance; Image Processing; Machine Learning; Parking issues; Parking Monitoring; Parking slot availability; Real-time navigation; Real-Time Processing; Smart city solutions; Support Vector Classifier; Time-saving; Traffic reduction |
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