Smart Surveillance: Enhancing Security in the Digital Age

AI, machine learning, video analytics, facial recognition, privacy, data protection, IoT, real-time monitoring, cybersecurity, smart cameras, automated alerts, urban safety, threat detection, cloud st

씨익북스 편집부 지음

타우루스 2025년 02월 12일 출간

작품소개

책소개

"**Smart Surveillance: Enhancing Security in the Digital Age** explores the transformative impact of cutting-edge technologies on security and surveillance practices in our increasingly digital world. As urban areas expand and the need for enhanced safety measures grows, this book delves into the integration of artificial intelligence, machine learning, and real-time video analytics into modern surveillance systems.

The book provides a comprehensive overview of how smart cameras equipped with facial recognition and threat detection capabilities are revolutionizing the way we monitor environments, ensuring quicker responses to potential incidents. It emphasizes the role of the Internet of Things (IoT) in creating interconnected systems that facilitate remote access and real-time monitoring, allowing law enforcement and security personnel to respond to threats more efficiently than ever before.

However, with advancements in surveillance technology come significant ethical considerations. The book addresses the critical balance between enhanced security and the preservation of personal privacy. It discusses data protection, compliance with regulations, and the importance of transparent practices to maintain public trust. As big data analytics play a vital role in predictive analytics, the book raises questions about accountability and the potential for misuse of data.

Readers will gain insights into the design and user interface of smart surveillance systems, exploring how intuitive features can enhance usability for security personnel. The book also examines the importance of robust cybersecurity measures to protect sensitive information from unauthorized access and breaches.

Through case studies and expert interviews, Smart Surveillance illustrates the challenges and opportunities presented by the integration of technology into urban safety initiatives. It highlights the importance of automated alerts and incident response protocols in creating safer communities. Ultimately, this book serves as a crucial resource for security professionals, urban planners, and policymakers, guiding them through the complexities of deploying smart surveillance solutions while navigating the ethical landscape of privacy and security in the digital age."

목차

"1. The Evolution of Surveillance Technology
2. Understanding AI in Security Systems
3. The Role of Machine Learning in Monitoring
4. Video Analytics: Transforming Security Footage
5. Facial Recognition: Benefits and Challenges
6. Privacy Concerns in Smart Surveillance
7. Data Protection Strategies for Surveillance Systems
8. The Internet of Things and Security Integration
9. Real-Time Monitoring: Keeping Watch 24/7
10. Cybersecurity Measures for Surveillance Networks
11. Smart Cameras: Features and Innovations
12. Automated Alerts: Enhancing Response Times
13. Urban Safety: Smart Surveillance in Cities
14. Threat Detection Techniques in Real Time
15. Cloud Storage Solutions for Video Data
16. Big Data Analytics in Surveillance Systems
17. Ethical Considerations in Surveillance Practices
18. Integration of Surveillance Systems Across Platforms
19. User Interface Design for Security Applications
20. Remote Access: Monitoring from Anywhere
21. The Future of Surveillance Systems
22. Incident Response Protocols in Smart Surveillance
23. Predictive Analytics for Threat Anticipation
24. Compliance with Surveillance Regulations
25. Law Enforcement and the Use of Surveillance Technology
26. The Impact of Surveillance on Community Trust
27. Balancing Security and Privacy Rights
28. Innovations in Video Analytics Algorithms
29. The Role of Drones in Modern Surveillance
30. Smart Surveillance in Retail Environments
31. Home Security: The Rise of Smart Cameras
32. Data Encryption Techniques for Surveillance Footage
33. Integrating AI with Traditional Security Systems
34. The Importance of User Training in Surveillance Tech
35. Case Studies: Successful Surveillance Implementations
36. Challenges in Implementing Smart Surveillance
37. Surveillance and Civil Liberties: A Delicate Balance
38. The Future of Urban Surveillance Technologies
39. Enhancing Public Safety with Predictive Analytics
40. The Role of Machine Learning in Threat Assessment
41. Privacy by Design in Surveillance Solutions
42. The Intersection of AI and Cybersecurity
43. Surveillance Technology in Emergency Response
44. Building Trust Through Transparency in Surveillance
45. The Role of Mobile Devices in Smart Surveillance
46. Enhancing Surveillance with Edge Computing
47. The Influence of Social Media on Surveillance Practices
48. Best Practices for Surveillance System Maintenance
49. The Rise of Biometric Authentication in Security
50. Future Trends in Smart Surveillance Technology"

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