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An Intelligent 2WD vehicle drone air and land for intelligence surveillance and night patrolling
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 13 November 2024
Abstract
This Innovation presents an innovative intelligent 2WD vehicle drone designed for air and land operations, specifically tailored for intelligence surveillance and night patrolling. The drone boasts advanced sensors, AI-powered navigation, and seamless air-land transition capabilities, enabling unparalleled flexibility and effectiveness. Its compact and rugged design allows operation in challenging terrain and environments, while quiet operation and stealthy surveillance capabilities ensure covert intelligence gathering. Real-time data analysis and object detection features provide situational awareness, and night vision and thermal imaging enhance low-light capabilities. Autonomous operation and scalability make this drone an essential asset for military, law enforcement, and search and rescue applications. This paper highlights the drone's unique features, capabilities, and benefits, demonstrating its potential to revolutionize surveillance and patrolling operations.
Patent Information
Application ID | 202441087666 |
Invention Field | MECHANICAL ENGINEERING |
Date of Application | 13/11/2024 |
Publication Number | 47/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr S Hanumantha Rao Professor Dept. of ECE SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Dr M Pradeep Associate Professor Dept. of ECE SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Dr M Prema Kumar Professor Dept. of ECE SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Dr K Padma Vasavi Professor Dept. of ECE SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Mr S Sreenivasu Associate Professor, Department of IT SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Mrs B Padma Assistant Professor, Department of IT SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Dr A Sri Krishna Professor Department of AI SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Dr G Durga Prasad Professor, Department of AI SVECW | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Shri Vishnu Engineering College for Women | Shri Vishnu Engineering College for Women, Vishnupur, Bhimavaram, W G Dist, Bhimavaram, Andhra Pradesh 534202 | India | India |
Specification
Description:The intelligent 2WD vehicle drone is a cutting-edge, amphibious system designed for air and land operations, optimized for intelligence surveillance and night patrolling. The drone features a rugged, compact design with advanced sensors, GPS, and AI-powered navigation, enabling seamless transition between aerial and terrestrial modes. It is equipped with high-resolution cameras, night vision, thermal imaging, and motion detection capabilities, allowing for real-time surveillance and tracking. The system's advanced intelligence enables autonomous operation, adaptability to changing environments, and real-time data analysis, making it an invaluable asset for military, law enforcement, and search and rescue applications. The system consists of a 2WD vehicle drone equipped with advanced sensors, navigation systems, and communication modules, enabling seamless transition between air and land environments. The drone features a ruggedized design, advanced computer vision, and machine learning algorithms for object detection, tracking, and classification. Its aerial mode provides wide-area coverage, while its 2WD capability allows for efficient mobility on various terrain. The system includes a user-friendly interface, real-time data analytics, and an LED lighting system for enhanced visibility in low-light conditions. The drone can be operated autonomously or manually, and its advanced navigation system ensures stable and precise flight and land movement. The system is designed for intelligence surveillance and night patrolling applications, providing real-time insights and enhancing situational awareness for military, law enforcement, border patrol, search and rescue, and environmental monitoring operations. , C , Claims:
1. We claim that our drone is the first to achieve seamless air-land transition, enabling unparalleled flexibility in intelligence surveillance and night patrolling operations.
2. We claim that our drone's advanced sensors and AI-powered navigation system provide realtime data analysis and object detection capabilities, surpassing existing surveillance technologies. 3. We claim that our drone's compact and rugged design enables operation in challenging terrain and environments, making it ideal for military, law enforcement, and search and rescue applications.
4. We claim that our drone's quiet operation and stealthy surveillance capabilities ensure covert intelligence gathering, reducing the risk of detection.
5. We claim that our drone's real-time data analysis and object detection capabilities provide unparalleled situational awareness, enabling quick response and decision-making.
6. We claim that our drone's night vision and thermal imaging capabilities enhance its effectiveness in low-light conditions, setting a new standard for night patrolling operations.
Documents
Name | Date |
---|---|
202441087666-COMPLETE SPECIFICATION [13-11-2024(online)].pdf | 13/11/2024 |
202441087666-DECLARATION OF INVENTORSHIP (FORM 5) [13-11-2024(online)].pdf | 13/11/2024 |
202441087666-DRAWINGS [13-11-2024(online)].pdf | 13/11/2024 |
202441087666-FORM 1 [13-11-2024(online)].pdf | 13/11/2024 |
202441087666-FORM-9 [13-11-2024(online)].pdf | 13/11/2024 |
202441087666-REQUEST FOR EARLY PUBLICATION(FORM-9) [13-11-2024(online)].pdf | 13/11/2024 |
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