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Intelligent Accident Detection & Emergency Response System using AI & IoT for Enhanced Road Safety
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 25 November 2024
Abstract
The Intelligent Accident Detection and Emergency Response System is a cutting-edge technology designed to improve road safety and optimize emergency response. By utilizing AI and IoT-enabled sensors, the system detects real-time anomalies in vehicle behavior and road conditions, immediately analyzing the severity of an accident. It then triggers automated alerts to emergency responders and nearby vehicles, providing precise location and incident details. The system incorporates vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, which warns surrounding drivers to prevent secondary accidents. Additionally, predictive analytics monitor driving behavior and road risks, offering proactive warnings before accidents occur. With integration into smart city infrastructure, the system can optimize traffic flow, prioritize emergency vehicles, and adapt to real-time conditions. This innovative solution enhances safety, reduces response times, and improves the efficiency of emergency services, ult
Patent Information
Application ID | 202441091618 |
Invention Field | ELECTRONICS |
Date of Application | 25/11/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
R. Parvathi | Assistant Professor, Computer science with Artificial Intelligence, SRM Arts and Science College, Kattankulathur, Chennai – 603203 | India | India |
Lucky Raja | Student / Technology, Pragathi the School, Bangalore | India | India |
N. Porchelvi | Assistant Professor /AIDS, Rajalakshmi Institute of Technology. Chennai | India | India |
Hema. S. J | Assistant Professor, Department of Electronics and Communication Engineering, Vivekanandha College of Engineering and Technology for Women, Tiruchengode | India | India |
Nishant S | Assistant Professor, Electrical & Electronics Engineering, St. Joseph's College of Engineering, OMR, Chennai -119 | India | India |
Charanjeet Singh | Assistant Professor, Electronics and Communication Department, Deenbandhu Chhotu Ram University of Science and Technology, Murthal | India | India |
Dr. Neeraj Kumari | Professor /Humanities and Management, School of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad | India | India |
Mr. F. Ravindaran | Assistant Professor, Computer Science and Engineering (Cyber Security) Karpagam College of Engineering, Mayileripalayam Village, Othakalmandapam, PO, Coimbatore -641032 | India | India |
Dr. S. Gandhimathi | Associate Professor, in English/Computer, Technology-UG Kongu Engineering College, Perundurai-638060 | India | India |
Sunil A | Assistant Professor, Computer Science, Surana Evening College, Kengeri | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
R. Parvathi | Assistant Professor, Computer science with Artificial Intelligence, SRM Arts and Science College, Kattankulathur, Chennai – 603203 | India | India |
Lucky Raja | Student / Technology, Pragathi the School, Bangalore | India | India |
N. Porchelvi | Assistant Professor /AIDS, Rajalakshmi Institute of Technology. Chennai | India | India |
Hema. S. J | Assistant Professor, Department of Electronics and Communication Engineering, Vivekanandha College of Engineering and Technology for Women, Tiruchengode | India | India |
Nishant S | Assistant Professor, Electrical & Electronics Engineering, St. Joseph's College of Engineering, OMR, Chennai -119 | India | India |
Charanjeet Singh | Assistant Professor, Electronics and Communication Department, Deenbandhu Chhotu Ram University of Science and Technology, Murthal | India | India |
Dr. Neeraj Kumari | Professor /Humanities and Management, School of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad | India | India |
Mr. F. Ravindaran | Assistant Professor, Computer Science and Engineering (Cyber Security) Karpagam College of Engineering, Mayileripalayam Village, Othakalmandapam, PO, Coimbatore -641032 | India | India |
Dr. S. Gandhimathi | Associate Professor, in English/Computer, Technology-UG Kongu Engineering College, Perundurai-638060 | India | India |
Sunil A | Assistant Professor, Computer Science, Surana Evening College, Kengeri | India | India |
Specification
Description:The proposed system falls within the field of intelligent transportation systems (ITS), specifically focused on road safety enhancement through the use of artificial intelligence (AI) and Internet of Things (IoT) technologies. The invention relates to an automated accident detection and emergency response system designed to improve the safety of drivers, passengers, and pedestrians by providing timely and intelligent interventions during road accidents or emergencies. Using a combination of AI algorithms, sensor networks, and real-time communication systems, the system can detect accidents, assess the severity of the situation, and automatically initiate emergency response actions, such as notifying emergency services, alerting nearby vehicles, or activating emergency mechanisms within the vehicle. Additionally, by leveraging IoT-based devices and vehicle-to-infrastructure (V2I) communication, the system ensures seamless data exchange between vehicles, traffic infrastructure, and emergency centers, significan , Claims:1. An Intelligent Accident Detection and Emergency Response System comprising a network of IoT-enabled sensors installed in vehicles and road infrastructure to continuously monitor vehicle behavior, road conditions, and surrounding environments, wherein the system detects and analyzes any anomalies in real-time to identify potential accidents.
2. The system of claim 1, wherein the detected anomalies are analyzed using AI-powered algorithms that evaluate the severity of an accident, process data from vehicle sensors, and generate an automated emergency response to alert emergency responders and nearby vehicles.
3. The system of claim 1, wherein it integrates vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication to allow surrounding vehicles to receive immediate warnings and adjust their driving behavior to prevent secondary accidents.
4. The system of claim 2, wherein the real-time alerts include the precise location of the accident, severity of the incident, and additional vehicle health
Documents
Name | Date |
---|---|
202441091618-COMPLETE SPECIFICATION [25-11-2024(online)].pdf | 25/11/2024 |
202441091618-DECLARATION OF INVENTORSHIP (FORM 5) [25-11-2024(online)].pdf | 25/11/2024 |
202441091618-DRAWINGS [25-11-2024(online)].pdf | 25/11/2024 |
202441091618-FORM 1 [25-11-2024(online)].pdf | 25/11/2024 |
202441091618-FORM-9 [25-11-2024(online)].pdf | 25/11/2024 |
202441091618-REQUEST FOR EARLY PUBLICATION(FORM-9) [25-11-2024(online)].pdf | 25/11/2024 |
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