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Publisher ‏ : ‎ Academic Press; 1st edition (March 31, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 202 pages
ISBN-10 ‏ : ‎ 0128163852
ISBN-13 ‏ : ‎ 978-0128163856
Item Weight ‏ : ‎ 12.5 ounces
Dimensions ‏ : ‎ 7.52 x 0.46 x 9.25 inches

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems (Intelligent Data-Centric Systems)

In the realm of surveillance tracking systems, the integration of cloud computing and Internet of Things (IoT) technologies has revolutionized the way data is collected, processed, and analyzed. This intersection has given rise to intelligent data-centric systems that are capable of enhancing situational awareness, improving decision-making processes, and optimizing resource allocation.

One of the key aspects of this integration is the cognitive approach, which involves the use of artificial intelligence and machine learning algorithms to make sense of vast amounts of data in real-time. By leveraging cognitive capabilities, surveillance tracking systems can automatically detect patterns, anomalies, and trends, enabling rapid response to potential threats or incidents.

Cloud computing plays a crucial role in enabling the scalability and flexibility required for handling massive amounts of data generated by surveillance tracking systems. By utilizing cloud resources, organizations can store and process data efficiently, without the need for expensive on-premise infrastructure.

Furthermore, IoT technologies provide the connectivity and sensor capabilities necessary for collecting real-time data from various sources, such as video cameras, sensors, and mobile devices. This data can be securely transmitted to the cloud for analysis, allowing for timely insights and actionable intelligence.

Overall, the cognitive approach in cloud computing and IoT technologies has transformed surveillance tracking systems into intelligent data-centric systems that are capable of providing enhanced security, operational efficiency, and situational awareness. As technology continues to evolve, we can expect further advancements in this field, leading to even more sophisticated and effective surveillance tracking solutions.
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