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MULTI-PURPOSE IN-VEHICLE LIFEFORM DETECTION SYSTEM FOR PREVENTING ILLEGAL ACTIVITIES
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Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 2 November 2024
Abstract
In recent years, the rapid expansion of Internet of Things (IoT) technology into diverse facets of our lives, including education, households, vehicles, and healthcare, is undeniable. However, this widespread adoption has brought forth a slew of complex challenges. These encompass issues such as device heterogeneity, scalability, quality of service, and, most critically, security requirements. Regrettably, security often takes a back seat in IoT due to cost, size, and power constraints, resulting in user apprehension and reluctance to embrace IoT devices. Consequently, IoT systems become vulnerable to security breaches, leading to significant financial losses and reputational damage. The proposed system underscores the urgency of evaluating current IoT security risks and addressing impending challenges. IoT is rapidly transforming essential sectors like transportation, industry, payments, and healthcare, adding intelligence and connectivity. However, these advancements are hampered by looming security vulnerabilities. This work emphasizes the growing significance of IoT and the need to prioritize and fortify IoT security. It highlights existing challenges, including heterogeneity, scalability, and power constraints, and IoT's susceptibility to security threats. By acknowledging these challenges and adopting a proactive security approach, we can unleash the full potential of IoT while ensuring a secure and reliable IoT ecosystem.
Patent Information
Application ID | 202411083858 |
Invention Field | ELECTRONICS |
Date of Application | 02/11/2024 |
Publication Number | 46/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Mr. Dhruv Sharma | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Mrs. Manjinder Kaur | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Dr. Sandeep Singh Kang | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Mr. Prashant Ahlawat | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Dr. Hitesh Kumar Sharma | School of Computer Scinece, University of Petroleum and Energy Studies | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
Dr. Hitesh Kumar Sharma | School of Computer Scinece, University of Petroleum and Energy Studies | India | India |
Mr. Dhruv Sharma | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Mrs. Manjinder Kaur | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Dr. Sandeep Singh Kang | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Mr. Prashant Ahlawat | Computer Science Engineering, University Institute of Engineering, Chandigarh University, Gharuan, Mohali, Punjab | India | India |
Specification
Description:The Multi-Purpose In-Vehicle Lifeform Detection System represents a groundbreaking innovation designed to enhance security and prevent a wide range of illegal activities within vehicles. This advanced system integrates a variety of cutting-edge sensors-including infrared, ultrasonic, imaging, passive infrared (PIR), and piezoelectric sensors-alongside LED indicators and a display screen, all powered by sophisticated machine learning algorithms.
The primary aim of this invention is to provide a highly effective and adaptable solution for safeguarding district, state, and national borders against illicit activities involving vehicles and their occupants. By analyzing the presence of living beings inside vehicles, the system can differentiate between authorized passengers and potential threats. Upon detecting any suspicious activity, the system activates LED indicators to alert security personnel in real time, empowering law enforcement to take immediate action and thwart the progression of criminal activities, including human trafficking, smuggling, and unauthorized access. , Claims:Claim 1: The proposed system works efficiently.
Claim 2: The proposed system has integrated IOT technology and has the potential to significantly reduce crime rates, ultimately contributing to a safer and more secure society.
Claim 3: The system has unique features in this system.
Documents
Name | Date |
---|---|
202411083858-COMPLETE SPECIFICATION [02-11-2024(online)].pdf | 02/11/2024 |
202411083858-DRAWINGS [02-11-2024(online)].pdf | 02/11/2024 |
202411083858-FIGURE OF ABSTRACT [02-11-2024(online)].pdf | 02/11/2024 |
202411083858-FORM 1 [02-11-2024(online)].pdf | 02/11/2024 |
202411083858-FORM-9 [02-11-2024(online)].pdf | 02/11/2024 |
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