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Item #:
223305843
AI and Deep Learning Enabled Surveillance System Using Image Processing, (Paperback)
Item #:
223305843
AUD 133
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This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.
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What Stands Out
AI Integration
Harness cutting-edge AI algorithms to enhance surveillance accuracy and efficiency, addressing security concerns through real-time monitoring and automated threat detection.
Deep Learning Capabilities
Utilize advanced deep learning techniques for image processing, improving object recognition and significantly minimizing false positives, ensuring reliable security analytics.
Comprehensive Insights
Provides in-depth knowledge and practical applications of surveillance technology, empowering professionals to implement effective security solutions tailored to their specific needs.
Product Details
- AI and Deep Learning Enabled Surveillance System Using Image Processing is an essential resource for anyone interested in the convergence of advanced technologies to enhance surveillance capabilities. This book explores in detail how artificial intelligence and deep learning can be applied to image processing, offering a transformative approach to modern surveillance systems. It covers foundational concepts of AI and deep learning, explaining how these technologies are reshaping the way we understand and utilize image data. The book emphasizes practical implementation, guiding readers through the integration of AI algorithms with image processing techniques to create sophisticated, real-time surveillance solutions. Through in-depth discussions and real-world case studies, the book highlights the applications of AI in various surveillance contexts, such as public safety, traffic monitoring, and access control. Readers will learn about the latest advancements in neural networks, object detection, and anomaly detection, gaining insights into developing and deploying intelligent surveillance systems. Additionally, the book addresses critical ethical and privacy considerations, ensuring that readers are aware of the balance between enhanced security and individual privacy rights. This comprehensive guide is an invaluable tool for professionals and researchers aiming to harness the power of AI and deep learning in the field of surveillance.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | March, 2026 |
| Pages | 288 |
| Subgenre | Image Processing |
| Series title | No Series |
| Edition | 1 |
| Publisher | Emerald Publishing Limited |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.60 x 9.21 in (15.6 x 1.5 x 23.4 cm) |
| Assembled product weight | 0.9 lb (410 grams) |
| Bisac subject heading | Computers |
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Jay Kumar Pandey All Books Editorial Review
AI and Deep Learning Enabled Surveillance System Using Image Processing is a comprehensive resource that explores the intersection of cutting-edge technology and surveillance systems. This non-fiction paperback, published by Emerald Publishing Limited, spans 288 pages and is tailored for readers interested in the fields of computing and internet technologies, specifically focusing on image processing. Readers can expect a well-structured analysis, enriching their understanding of how AI can enhance surveillance capabilities. This book is written in English, making it accessible to a broad audience, and is part of the education emphasis in technology, presenting relevant, actionable insights.
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Pros
- Comprehensive coverage of AI in surveillance
- Focus on image processing techniques
- Engaging non-fiction narrative
- Well-structured for easy understanding
- Current technological applications explored
Cons
- Limited information on advanced topics might leave some wanting more
Product Price History
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AUD 133
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Features & Benefits
- Explore the convergence of AI and deep learning with image processing.
- Learn practical implementation techniques for real-time surveillance.
- Gain insights from real-world case studies and applications.
- Understand advanced topics like neural networks and object detection.
- Address critical ethical and privacy considerations.
- Ideal for professionals and researchers in the surveillance field.
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