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Night Vision Patrolling Robotic Intelligent Framework Utilizing Cloud Based Internet Of Things

Abstract: To safeguard any place, a surveillance patrolling robot equipped with a night vision camera is used. The automated vehicle drives at predefined periods and features night vision cameras and acoustic instruments. When patrolling, it follows a predetermined path. When audio is recognized, the program grinds to a stop at certain locations before continuing on to the next. To monitor the defined region, the system utilizes thermal imaging route technologies. It watches every location for infringement with a 360o swivel camera module. It has the ability to listen in on the ambient sounds. Once the barrier has closed, any noise is identified, and it starts moving towards the noise on a predefined path. It next examines its surroundings with its cameras for any face recognition. It captures and sends photographs of the environment as soon as it receives noise or a person's face. This invention uses an IOT gecko to collect and show transmitted images, and also alarm noises, to the customer. As a consequence, presented a totally self-contained surveillance robot that monitors enormous regions all-around night to assure the prison's security. These visuals are then sent in real-time to the customer for inspection, and if any faults are discovered, a controlled alert is activated. Army areas, clinics, retail centers, restricted areas, commercial areas, and agriculture regions all use robotic patrolling.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
24 November 2021
Publication Number
50/2021
Publication Type
INA
Invention Field
BIOTECHNOLOGY
Status
Email
prof.akhileshsingh@gmail.com
Parent Application

Applicants

RAJESH S
No - 6/7, Pavendhar Street, NGO Nagar, Ponneri - 601204
Dr. Akhilesh Kumar Singh
Associate Professor, Department of Mechanical Engineering, Aditya College of Engineering & Technology, Surampalem, East-Godavari District, Andhra Pradesh – 533437.

Inventors

1. Dr. Akhilesh Kumar Singh
Associate Professor, Department of Mechanical Engineering, Aditya College of Engineering & Technology, Surampalem, East-Godavari District, Andhra Pradesh – 533437.
2. Mr. Satya Surya Prakash Vinnakota
Assistant Professor, Department of Mechanical Engineering, Aditya College of Engineering & Technology, Surampalem, East-Godavari District, Andhra Pradesh – 533437.
3. Mr. Arasavelli Prasada Rao
Deputy Manager (PDM), Hindustan Shipyard Ltd., Gandhigram (PO), Visakhapatnam, Andhra Pradesh - 530 005.
4. Dr. Pradeep Gupta
Assistant professor, Department of Mechanical Engineering, School of Engineering and Technology, G H Raisoni University, Village Dhoda Borgaon, Chhindwara, Madhya Pradesh - 480106.
5. Dr. Pramod Kumar
Assistant Professor, Department of Mechanical Engineering, Aditya College of Engineering & Technology, Surampalem, East-Godavari District, Andhra Pradesh - 533437.
6. Mr. Jaikishan Pandiri
Assistant Professor, Department of Mechanical Engineering, Aditya College of Engineering & Technology, Surampalem, East-Godavari District, Andhra Pradesh – 533437.
7. Ms. Sreeja Gundu
UG Scholar, Department of Electronics and Communication Engineering, JNTUH College of Engineering Sultanpur, Telangana – 502273.
8. Mr. K. Sengottaiyan
Assistant Professor, Department of Mechanical Engineering, R.M.K. Engineering College, Kavaraipettai – 601206.

Specification

Claims:1. The framework is intended to supervise night-time monitoring of a house or other location by acquiring critical data and saving it in the clouds IoT utilizing IR-based technologies.
2. Defined the processes to be used in a convolutional neural network forecasting model. To categorize the customers, a grouping method is utilized.
3. According to claim 2, the forecasting model is used while running the device, and when reporting and alerting the authorities and patrolling officers.
, Description:The current invention pertains to a development of a night vision patrolling robotic intelligent framework utilizing cloud-based internet of things.

Documents

Application Documents

# Name Date
1 202141054349-COMPLETE SPECIFICATION [24-11-2021(online)].pdf 2021-11-24
1 202141054349-REQUEST FOR EARLY PUBLICATION(FORM-9) [24-11-2021(online)].pdf 2021-11-24
2 202141054349-DRAWINGS [24-11-2021(online)].pdf 2021-11-24
2 202141054349-FORM-9 [24-11-2021(online)].pdf 2021-11-24
3 202141054349-FIGURE OF ABSTRACT [24-11-2021(online)].jpg 2021-11-24
3 202141054349-FORM 1 [24-11-2021(online)].pdf 2021-11-24
4 202141054349-FIGURE OF ABSTRACT [24-11-2021(online)].jpg 2021-11-24
4 202141054349-FORM 1 [24-11-2021(online)].pdf 2021-11-24
5 202141054349-DRAWINGS [24-11-2021(online)].pdf 2021-11-24
5 202141054349-FORM-9 [24-11-2021(online)].pdf 2021-11-24
6 202141054349-COMPLETE SPECIFICATION [24-11-2021(online)].pdf 2021-11-24
6 202141054349-REQUEST FOR EARLY PUBLICATION(FORM-9) [24-11-2021(online)].pdf 2021-11-24