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SENSOR – DRIVEN AUTOMATED PARKING SYSTEM FOR EFFICIENT VEHICLE MANAGEMENT
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Abstract
Information
Inventors
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Specification
Documents
ORDINARY APPLICATION
Published
Filed on 26 October 2024
Abstract
Parking management in urban areas faces critical challenges, including limited space, congestion caused by vehicles searching for spots, inefficient use of parking areas, and increased fuel consumption and emissions. Traditional methods lack real-time data on parking availability and often result in suboptimal space utilization. To address these issues, we propose a sensor-driven automated parking system that integrates advanced sensors such as ultrasonic, infrared, and cameras to monitor parking spaces and vehicle movements in real time. A central control unit processes this data using machine learning algorithms to optimize parking efficiency, reducing search time and congestion. The system also incorporates eco-friendly technologies, like piezoelectric materials for energy generation from vehicle movements, minimizing its environmental impact and operational costs. Additionally, a mobile app allows users to locate and reserve parking spots, while robotic controls enable autonomous parking in tighter spaces, maximizing capacity and improving overall urban mobility. This solution offers a smart, sustainable, and efficient approach to modern parking challenges.
Patent Information
Application ID | 202441081707 |
Invention Field | ELECTRONICS |
Date of Application | 26/10/2024 |
Publication Number | 44/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Mamatha Deenakonda | Assistant Professor, Department of EEE, Vishnu Institute of Technology, Bhimavaram | India | India |
VV VIJETHA INTI | Assistant Professor, Dept. of EEE, Vishnu Institute of Technology, Bhimavaram | India | India |
Dr CH RAJYA LAKSHMI | Associate Professor, Dept. of Basic Science, Vishnu Institute of Technology, Bhimavaram | India | India |
ADABALA MOUNIKA | UG Student, Dept. of EEE, Vishnu Institute of Technology, Bhimavaram | India | India |
PADALA SUJI SRI | UG Student, Dept. of EEE, Vishnu Institute of Technology, Bhimavaram | India | India |
NARGANI KIRAN BABU | UG Student, Dept. of EEE, Vishnu Institute of Technology, Bhimavaram | India | India |
BOKKA LAVANYA | UG Student, Dept. of EEE, Vishnu Institute of Technology, Bhimavaram | India | India |
NAMBURI LAKSHMI PATHIRAJU | UG Student, Dept. of EEE, Vishnu Institute of Technology, Bhimavaram | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
VISHNU INSTITUTE OF TECHNOLOGY, BHIMAVARAM | KOVVADA, VISHNUPUR, BHIMAVARAM | India | India |
Specification
Description:The sensor-driven automated parking system for efficient vehicle management is designed to streamline the parking process in urban environments, addressing challenges such as limited space and traffic congestion. This system block diagram shown in Figure 1 employs an array of advanced sensors, including ultrasonic and infrared sensors, to monitor real-time parking availability and vehicle movements. Figure 2 represents the layout of EPS32 Microcontroller. By continuously scanning the parking area, the system accurately detects open spaces and guides drivers to the nearest available spot, significantly reducing the time spent searching for parking. At the core of the system is a centralized control unit that manages system logic and coordinates communication between sensors, vehicles, and users. The control unit processes data from the sensors and implements machine learning algorithms to optimize parking operations, adapting to usage patterns and improving efficiency over time. Drivers can interact with the system through a user-friendly mobile application, allowing them to locate, reserve, and navigate to parking spots easily.
In addition to its core functionalities, the system incorporates eco-friendly technologies, such as piezoelectric materials for power generation. This innovative feature enables the system to harness energy from vehicle movements, reducing its environmental footprint and operational costs. Moreover, the automated aspect of the system allows vehicles to park with minimal human intervention. Once a driver exits the vehicle, the system takes over, maneuvering the car into a designated spot using robotic controls. This capability maximizes space utilization, enabling tighter parking configurations that traditional methods cannot achieve. Overall, the sensor-driven automated parking system represents a significant advancement in urban vehicle management, promoting efficiency, sustainability, and convenience while enhancing the overall parking experience for users. , Claims:We claim that our sensor-driven automated parking system for efficient vehicle management introduces a transformative approach to urban parking challenges by integrating advanced technologies and sustainable practices.
Autonomous Operation: The system operates autonomously, allowing vehicles to park with minimal human intervention, thereby streamlining the parking process and maximizing space utilization.
Advanced Sensor Integration: By employing a combination of ultrasonic, infrared, and camera sensors, the system provides real-time monitoring of parking availability, guiding drivers efficiently to open spots while reducing search times and associated traffic congestion.
User-Friendly Interface: The inclusion of a mobile application allows drivers to easily locate, reserve, and navigate to parking spaces, enhancing user experience and engagement with the system.
Eco-Friendly Technologies: The integration of piezoelectric materials for power generation highlights our commitment to sustainability, allowing the system to harness energy from vehicle movements, thereby reducing its environmental impact.
Documents
Name | Date |
---|---|
202441081707-COMPLETE SPECIFICATION [26-10-2024(online)].pdf | 26/10/2024 |
202441081707-DRAWINGS [26-10-2024(online)].pdf | 26/10/2024 |
202441081707-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [26-10-2024(online)].pdf | 26/10/2024 |
202441081707-FIGURE OF ABSTRACT [26-10-2024(online)].pdf | 26/10/2024 |
202441081707-FORM 1 [26-10-2024(online)].pdf | 26/10/2024 |
202441081707-FORM FOR SMALL ENTITY(FORM-28) [26-10-2024(online)].pdf | 26/10/2024 |
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