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Crowd Detection Camera To Speke The Maintain And Identify The Suspect Using Ai Based Programming.

Abstract: ABSTRACT Our Invention Crowd Detection Camera to Speke the Maintain and Identify the Suspect Using AI-Based Programming is an advanced computer-implemented method, computer program for detecting anomalous human behavior of advanced computing devices are real-time provided. The Invention is also a method of creating human artificial intelligence in machines and computer software is presented here as well as methods to simulate human reasoning thought and behavior and also the invention serves as a universal artificial intelligence program that will store, retrieve, analyze, assimilate, predict the future and modify information in a manner and fashion which is similar to human beings and which will provide users with a software application that will serve as the main intelligence of one or a multitude of computer based programs, software applications, machines or compilation of machinery. The invention is to a Smart appliance with built-in cameras, such as the Nest Cam and Amazon Echo Look, are becoming pervasive and also a they hold the promise of bringing high fidelity, contextually rich sensing into our homes, workplaces and other environments. Despite recent and impressive advances, computer vision systems are still limited in the types of sensing questions they can answer, and more importantly, do not easily generalize across diverse human environments and also a in response, researchers have investigated hybrid crowd- and AI-powered methods that collect human labels to bootstrap automatic processes.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
10 May 2021
Publication Number
24/2021
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
anushareddy.kallem@gmail.com
Parent Application

Applicants

1. K. Anusha (Assistant Professor)
Dept. of CSE, Geethanjali College of Engineering and Technology, Hyderabad, Telangana 501301, India. E-mail: anushareddy.kallem@gmail.com
2. G Swapna (Assistant Professor)
Dept. of CSE, Geethanjali College of Engineering and Technology, Hyderabad, Telangana 501301, India. E-mail : g56swapna@gmail.com
3. Botla Mamatha (Assistant Professor)
Dept. of CSE, Geethanjali College of Engineering and Technology, Hyderabad, Telangana 501301, India. E-mail: botlamamatha.74@gmail.com
4. P. Harish (Assistant Professor)
Department of Electronics and Communication Engineering, Annamacharya Institute of Technology and Sciences Tirupati, India. E-mail: harishpasupulati@gmail.com
5. Dr. K. Suneetha (Professor)
School of CS & IT, JAIN (Deemed-to-be University), Bangalore, KA, India. E-mail: umasuni.k@gmail.com
6. Dr. C. Sushama (Associate Professor)
Dept. of CSSE, Sree Vidyannikethan Engineering College, Tirupati, Andhra Pradesh, India. E-Mail: sushama.c@vidyanikethan.edu
7. Dr. K. Venkata Nagendra (Associate Professor)
Department of CSE, Audisankara College of Engineering & Technology, Gudur, Nellore Dt. Andhra Pradesh, Indian. E-mail: drkvnagendra@gmail.com
8. P. Yogendra Prasad (Assistant Professor)
Department of CSSE, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India. E-mail: yogendraprasadp@gmail.com
9. Dr. Manmohan Singhal
Faculty of Pharmacy, DIT University, Dehradun Uttarakhand India-248009 E-mail: manu.research2@gmail.com
10. Dr. M. Sunil Kumar (Professor)
Dept of CSE, Sree Vidyanikethan Engineering College ,Tirupati, Andhra Pradesh, India. E-mail: sunilmalchi1@gmail.com

Inventors

1. K. Anusha (Assistant Professor)
Dept. of CSE, Geethanjali College of Engineering and Technology, Hyderabad, Telangana 501301, India. E-mail: anushareddy.kallem@gmail.com
2. G Swapna (Assistant Professor)
Dept. of CSE, Geethanjali College of Engineering and Technology, Hyderabad, Telangana 501301, India. E-mail : g56swapna@gmail.com
3. Botla Mamatha (Assistant Professor)
Dept. of CSE, Geethanjali College of Engineering and Technology, Hyderabad, Telangana 501301, India. E-mail: botlamamatha.74@gmail.com
4. P. Harish (Assistant Professor)
Department of Electronics and Communication Engineering, Annamacharya Institute of Technology and Sciences Tirupati, India. E-mail: harishpasupulati@gmail.com
5. Dr. K. Suneetha (Professor)
School of CS & IT, JAIN (Deemed-to-be University), Bangalore, KA, India. E-mail: umasuni.k@gmail.com
6. Dr. C. Sushama (Associate Professor)
Dept. of CSSE, Sree Vidyannikethan Engineering College, Tirupati, Andhra Pradesh, India. E-Mail: sushama.c@vidyanikethan.edu
7. Dr. K. Venkata Nagendra (Associate Professor)
Department of CSE, Audisankara College of Engineering & Technology, Gudur, Nellore Dt. Andhra Pradesh, Indian. E-mail: drkvnagendra@gmail.com
8. P. Yogendra Prasad (Assistant Professor)
Department of CSSE, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India. E-mail: yogendraprasadp@gmail.com
9. Dr. Manmohan Singhal
Faculty of Pharmacy, DIT University, Dehradun Uttarakhand India-248009 E-mail: manu.research2@gmail.com
10. Dr. M. Sunil Kumar (Professor)
Dept of CSE, Sree Vidyanikethan Engineering College ,Tirupati, Andhra Pradesh, India. E-mail: sunilmalchi1@gmail.com

Specification

Claims:WE CLAIMS
1) Our Invention Crowd Detection Camera to Speke the Maintain and Identify the Suspect Using AI-Based Programming is an advanced computer-implemented method, computer program for detecting anomalous human behavior of advanced computing devices are real-time provided. The Invention is also a method of creating human artificial intelligence in machines and computer software is presented here as well as methods to simulate human reasoning thought and behavior and also the invention serves as a universal artificial intelligence program that will store, retrieve, analyze, assimilate, predict the future and modify information in a manner and fashion which is similar to human beings and which will provide users with a software application that will serve as the main intelligence of one or a multitude of computer based programs, software applications, machines or compilation of machinery. The invention is to a Smart appliance with built-in cameras, such as the Nest Cam and Amazon Echo Look, are becoming pervasive and also a they hold the promise of bringing high fidelity, contextually rich sensing into our homes, workplaces and other environments. Despite recent and impressive advances, computer vision systems are still limited in the types of sensing questions they can answer, and more importantly, do not easily generalize across diverse human environments and also a in response, researchers have investigated hybrid crowd- and AI-powered methods that collect human labels to bootstrap automatic processes.
2) According to claim1# the invention is to a Crowd Detection Camera to Speke the Maintain and Identify the Suspect Using AI-Based Programming is an advanced computer-implemented method, computer program for detecting anomalous human behavior of advanced computing devices are real-time provided.
3) According to claim1# the invention is to a method of creating human artificial intelligence in machines and computer software is presented here as well as methods to simulate human reasoning thought and behavior and also the invention serves as a universal artificial intelligence program that will store, retrieve, analyze, assimilate, predict the future.
4) According to claim1# the invention is to a manner and fashion which is similar to human beings and which will provide users with a software application that will serve as the main intelligence of one or a multitude of computer based programs, software applications, machines or compilation of machinery.
5) According to claim1# the invention is to a Smart appliance with built-in cameras, such as the Nest Cam and Amazon Echo Look, are becoming pervasive and also a they hold the promise of bringing high fidelity, contextually rich sensing into our homes, workplaces and other environments.
6) According to claim1# the invention is to a computer vision systems are still limited in the types of sensing questions they can answer, and more importantly, do not easily generalize across diverse human environments and also a in response, researchers have investigated hybrid crowd- and AI-powered methods that collect human labels to bootstrap automatic processes.
Date: 9/5/21
K. Anusha (Assistant Professor)
G Swapna (Assistant Professor)
Botla Mamatha (Assistant Professor)
P. Harish (Assistant Professor)
Dr. K. Suneetha (Professor)
Dr. C. Sushama (Associate Professor)
Dr. K. Venkata Nagendra (Associate Professor)
P. Yogendra Prasad (Assistant Professor)
Dr. Manmohan Singhal
Dr. M. Sunil Kumar (Professor)

, Description:FIELD OF THE INVENTION
Our Invention is to a Crowd Detection Camera to Speke the Maintain and Identify the Suspect Using AI-Based Programming.

Documents

Application Documents

# Name Date
1 202141020989-FORM-9 [11-05-2021(online)].pdf 2021-05-11
1 202141020989-SEQUENCE LISTING(PDF) [10-05-2021(online)].pdf 2021-05-10
2 202141020989-COMPLETE SPECIFICATION [10-05-2021(online)].pdf 2021-05-10
2 202141020989-SEQUENCE LISTING [10-05-2021(online)].txt 2021-05-10
3 202141020989-DRAWINGS [10-05-2021(online)].pdf 2021-05-10
3 202141020989-FORM 1 [10-05-2021(online)].pdf 2021-05-10
4 202141020989-DRAWINGS [10-05-2021(online)].pdf 2021-05-10
4 202141020989-FORM 1 [10-05-2021(online)].pdf 2021-05-10
5 202141020989-COMPLETE SPECIFICATION [10-05-2021(online)].pdf 2021-05-10
5 202141020989-SEQUENCE LISTING [10-05-2021(online)].txt 2021-05-10
6 202141020989-FORM-9 [11-05-2021(online)].pdf 2021-05-11
6 202141020989-SEQUENCE LISTING(PDF) [10-05-2021(online)].pdf 2021-05-10