Surveillance systems play a crucial role in ensuring security and maintaining peace of mind in today's rapidly changing technological landscape. For decades, closed-circuit television (CCTV) surveillance solutions have dominated this field. However, CCTV systems have undergone significant transformations as a result of advancements in cloud computing, artificial intelligence (AI), and data analytics.
Psdot 7 change detection algorithm for visualZTech Proje
FINAL YEAR IEEE PROJECTS,
EMBEDDED SYSTEMS PROJECTS,
ENGINEERING PROJECTS,
MCA PROJECTS,
ROBOTICS PROJECTS,
ARM PIC BASED PROJECTS, MICRO CONTROLLER PROJECTS
Surveillance systems play a crucial role in ensuring security and maintaining peace of mind in today's rapidly changing technological landscape. For decades, closed-circuit television (CCTV) surveillance solutions have dominated this field. However, CCTV systems have undergone significant transformations as a result of advancements in cloud computing, artificial intelligence (AI), and data analytics.
Psdot 7 change detection algorithm for visualZTech Proje
FINAL YEAR IEEE PROJECTS,
EMBEDDED SYSTEMS PROJECTS,
ENGINEERING PROJECTS,
MCA PROJECTS,
ROBOTICS PROJECTS,
ARM PIC BASED PROJECTS, MICRO CONTROLLER PROJECTS
"Defence Services Hackathon" in collaboration with the "Tamil Nadu Defence Corridor" to Identify & support student & faculty teams for the development of technology/products for the Defence Sector. The Army Design Bureau has compiled a list of problem statements faced by our soldiers and is requesting your ingenuity for solving them. This is one of the problem statement faced by our soldiers that should be solved them by using our AI techniques.
Optimizing AI for immediate response in Smart CCTVshikhaohhpro
In an era where security concerns are paramount, the integration of artificial intelligence (AI) into CCTV cameras has revolutionized surveillance capabilities. One of the most significant advancements is the ability to achieve real-time threat detection, enabling immediate responses to potential security breaches. This blog explores how AI is reshaping surveillance through real-time threat detection and the implications of this technology.
Artificial intelligence for cctv cameras, video surveillanceHIGHMARK SECURITY
Artificial intelligence for cctv cameras, video surveillance
This era is called to be Artificial intelligence (AI) and Internet of Things (IoT), it is operated by robots and they are replaced the human. This article we mention the Artificial Intelligence for CCTV Cameras, Video Surveillance, it applies for this industry.
What is Artificial Intelligence ?
Artificial intelligence technology for CCTV Cameras
Artificial intelligence solutions for CCTV Cameras Companies
There has never been a better time to protect your property with CCTV; modern innovations have allowed security camera companies to create high-definition, fully manoeuvrable, internet-connecting cameras that provide their operators with an even wider range of flexibility than ever before. So where next for the CCTV camera industry?
Regardless of the industry in mind, automation seems to be the next step in their evolution – and CCTV is no different. Machine learning techniques are being tested in the hope that they’ll provide CCTV cameras with the ability to spot ‘troubling behaviour’ without the need for a human operator.
A CCTV system is not a physical barrier. It does not limit access to certain areas, make an object harder to steal, or a person more difficult to assault and rob. This does not mean it is not an example of situational crime prevention. It is highly situational, and as will be shown, does have some crime prevention capacity in the right situations. Although CCTV has many functions, the primary preventative utility is to trigger a perceptual mechanism in a potential offender. It seeks to change offender perception so the offender believes if he commits a crime, he will be caught. In other words, CCTV aims to increase the perceived risk of capture, a factor which, assuming the offender is behaving in a rational (or limited rational) manner, will de-motivate the potential offender. For this crime prevention process to succeed. So we developed this prototype which shows improved results in terms of crime reporting by the public using mobile devices and improved management of reports due to automation of crime reporting and monitoring. Pankaj Sharma | Parikshit Jhala | Nirmal Mathur | Jagtar Singh" Video Crime Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd3544.pdf http://www.ijtsrd.com/computer-science/real-time-computing/3544/-video-crime-monitoring/pankaj-sharma
"Defence Services Hackathon" in collaboration with the "Tamil Nadu Defence Corridor" to Identify & support student & faculty teams for the development of technology/products for the Defence Sector. The Army Design Bureau has compiled a list of problem statements faced by our soldiers and is requesting your ingenuity for solving them. This is one of the problem statement faced by our soldiers that should be solved them by using our AI techniques.
Optimizing AI for immediate response in Smart CCTVshikhaohhpro
In an era where security concerns are paramount, the integration of artificial intelligence (AI) into CCTV cameras has revolutionized surveillance capabilities. One of the most significant advancements is the ability to achieve real-time threat detection, enabling immediate responses to potential security breaches. This blog explores how AI is reshaping surveillance through real-time threat detection and the implications of this technology.
Artificial intelligence for cctv cameras, video surveillanceHIGHMARK SECURITY
Artificial intelligence for cctv cameras, video surveillance
This era is called to be Artificial intelligence (AI) and Internet of Things (IoT), it is operated by robots and they are replaced the human. This article we mention the Artificial Intelligence for CCTV Cameras, Video Surveillance, it applies for this industry.
What is Artificial Intelligence ?
Artificial intelligence technology for CCTV Cameras
Artificial intelligence solutions for CCTV Cameras Companies
There has never been a better time to protect your property with CCTV; modern innovations have allowed security camera companies to create high-definition, fully manoeuvrable, internet-connecting cameras that provide their operators with an even wider range of flexibility than ever before. So where next for the CCTV camera industry?
Regardless of the industry in mind, automation seems to be the next step in their evolution – and CCTV is no different. Machine learning techniques are being tested in the hope that they’ll provide CCTV cameras with the ability to spot ‘troubling behaviour’ without the need for a human operator.
A CCTV system is not a physical barrier. It does not limit access to certain areas, make an object harder to steal, or a person more difficult to assault and rob. This does not mean it is not an example of situational crime prevention. It is highly situational, and as will be shown, does have some crime prevention capacity in the right situations. Although CCTV has many functions, the primary preventative utility is to trigger a perceptual mechanism in a potential offender. It seeks to change offender perception so the offender believes if he commits a crime, he will be caught. In other words, CCTV aims to increase the perceived risk of capture, a factor which, assuming the offender is behaving in a rational (or limited rational) manner, will de-motivate the potential offender. For this crime prevention process to succeed. So we developed this prototype which shows improved results in terms of crime reporting by the public using mobile devices and improved management of reports due to automation of crime reporting and monitoring. Pankaj Sharma | Parikshit Jhala | Nirmal Mathur | Jagtar Singh" Video Crime Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd3544.pdf http://www.ijtsrd.com/computer-science/real-time-computing/3544/-video-crime-monitoring/pankaj-sharma
Similar to Artificial_intelligence_in_cctv_survelliance FINAL.pptx (20)
Sharpen existing tools or get a new toolbox? Contemporary cluster initiatives...Orkestra
UIIN Conference, Madrid, 27-29 May 2024
James Wilson, Orkestra and Deusto Business School
Emily Wise, Lund University
Madeline Smith, The Glasgow School of Art
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
0x01 - Newton's Third Law: Static vs. Dynamic AbusersOWASP Beja
f you offer a service on the web, odds are that someone will abuse it. Be it an API, a SaaS, a PaaS, or even a static website, someone somewhere will try to figure out a way to use it to their own needs. In this talk we'll compare measures that are effective against static attackers and how to battle a dynamic attacker who adapts to your counter-measures.
About the Speaker
===============
Diogo Sousa, Engineering Manager @ Canonical
An opinionated individual with an interest in cryptography and its intersection with secure software development.
Have you ever wondered how search works while visiting an e-commerce site, internal website, or searching through other types of online resources? Look no further than this informative session on the ways that taxonomies help end-users navigate the internet! Hear from taxonomists and other information professionals who have first-hand experience creating and working with taxonomies that aid in navigation, search, and discovery across a range of disciplines.
Acorn Recovery: Restore IT infra within minutesIP ServerOne
Introducing Acorn Recovery as a Service, a simple, fast, and secure managed disaster recovery (DRaaS) by IP ServerOne. A DR solution that helps restore your IT infra within minutes.
This presentation by Morris Kleiner (University of Minnesota), was made during the discussion “Competition and Regulation in Professions and Occupations” held at the Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found out at oe.cd/crps.
This presentation was uploaded with the author’s consent.
2. CONTENTS
INTRODUCTION
LITERATURE SURVEY
EXISTING SYSTEM
PROPOSED SYSTEM
ARCHITECTURE
PROJECT PIPELINE
SYSTEM REQUIREMENTS
PROJECT FUNCTIONALITY
RESULTS
CONCLUSION
3. INTRODUCTION
AI integration with CCTV security involves the use of machine learning algorithms to enhance the
capabilities of traditional CCTV systems. AI algorithms can detect and track objects, recognize faces,
and analyze human behavior in real-time, allowing for the identification of potential security threats.
The intersection of artificial intelligence (AI) with Closed-Circuit Television (CCTV) marks a
transformative leap in the realm of surveillance and security. As technology progresses, the integration
of AI algorithms into traditional CCTV systems elevates their capabilities to unprecedented levels.
4. LITERATURE SURVEY
Much research has been done in the development of this AI-based intelligent surveillance system
and some of this literature is reviewed in this section. Examples of surveillance systems previously
studied or developed to have intelligent or automation capabilities: VSAM (Abbreviated as video
surveillance and monitoring), PRISMATICA (Abbreviated as proactive integrated systems for security
management through institutional technological support and communication). AI based smart and
intelligent surveillance system solves all the problems inherent in video surveillance. It uses computer
vision and sensors to detect what is happening and what should be done about it. All this happens in
real time and saves money. Detect, prevent and report intruders when they are imminent.
5. EXISTING SYSTEM
The existing system for Closed-Circuit Television (CCTV) typically involves traditional surveillance
methods where cameras capture video footage, which is then stored or monitored in real-time by human
operators. These systems may have limited capabilities for automated analysis, and the focus is primarily
on recording and manual review of footage. Here are key characteristics of the existing CCTV systems:
Human Monitoring:
Human operators are responsible for monitoring live feeds or reviewing recorded footage to identify
security incidents or events.
Limited Intelligence:
The existing systems may lack advanced intelligence features such as real-time object detection,
facial recognition, or behaviour analysis.
6. Manual Investigation:
Investigations of security incidents often involve manual review of recorded footage, which can
be time-consuming and less efficient.
Privacy and Ethics:
Privacy concerns related to continuous monitoring and recording, as well as potential misuse
of footage, are significant considerations in the existing systems.
Scalability Challenges:
Expanding or upgrading the existing system to accommodate a growing number of cameras or
evolving security needs may present challenges.
Data Storage Concerns:
Storing and managing large volumes of video data can be resource-intensive, and retrieval for
specific events may not be as efficient.
7. PROPOSED SYSTEM
AI integration with Closed-Circuit Television (CCTV) aims to overcome the limitations of traditional
surveillance methods by leveraging advanced artificial intelligence technologies. Here are key features
and improvements in a proposed AI-enhanced CCTV system:
Real-Time Object Detection:
Implement AI algorithms for real-time object detection to identify and track specific entities, such as
people, vehicles, or objects of interest.
Predictive Analytics:
Implement predictive analytics using AI algorithms to identify patterns and trends, enabling proactive
security measures and threat prevention.
Automated Alerts and Notifications:
Enable the system to generate real-time alerts and notifications for security personnel based on AI
analysis, facilitating quick responses to potential incidents.
12. SYSTEM REQUIREMENTS
Software Requirements :
1. Arduino IDE
2. DL/ML algorithms with Jupyter Notebook IDE
Hardware Requirements :
1. Arduino / RasberryPi
2. High end camera
3. GSM module
4. Storage system
Modle Used :
1. CNN+LSTM (Covlstm)
13. 1. Accident detection and performing action
2. Robbery detection
3. Real world anamolies detection like fire(burning houses,shops..etc)
PROJECT GOAL/FUNCTIONALITY
17. CONCLUSION
The proposed system not only augments security measures but also acknowledges the importance
of ethical considerations, privacy protection, and regulatory compliance. As technology continues to
evolve, the integration of AI with CCTV systems promises to redefine the landscape of security,
providing a sophisticated and intelligent approach to safeguarding environments in an increasingly
interconnected world.