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    • Image courtesy of forum.huawei.com

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      • Smart video surveillance involves integrating analytics into an organization’s surveillance camera architecture. The results of such integrations can include improvements in threat detection, operating efficiencies, and solve numerous other common pain points.
      actuate.ai/security-resources/smart-video-surveillance/
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  2. This guide provides information on how a “smart” aka AI video surveillance system is architected, its capabilities and limitations, and the trade-offs of processing the analytics on the cloud vs. on-premise.

  3. It leverages AI video recognition technology to actively analyze scenes, identify patterns, detect anomalies, and evaluate potential threats. A mere observation can be converted into an invaluable insight through the use of AI technology, turning the conventional surveillance camera into a high-octane AI surveillance camera.

    • Edge Node
    • Statistical Data Analysis
    • Cloud Node
    • Smartphone Application

    The overall data flow of the edge node can be seen in Fig. 3. We adopt the Ancilia framework (Pazho et al., 2023) for the edge node in our system. The edge node comprises two sub-nodes: the Local Node and the Global Node. An object detector on the Local Node is utilized to identify and localize objects, such as pedestrians, within a streaming video...

    The outputs of the global node are stored in a database on the local node. Table 2represents the type of stored data and their description in the database. As we can see, we do not store any images or any PII. Global IDs are the unique ids assigned to each detected object across multiple cameras. Global re-identification is a very crucial feature o...

    The cloud node receives analyzed data from the edge node. Cloud-native services provide robust data storage and management, user management solutions, and API generator services considering the scalability of the system (Dahunsi et al., 2021). Based on our objective, which is delivering only the necessary data to the end-users, we are using differe...

    The final aim is to securely deliver the analyzed data generated on the edge node and statistical analysis section to the end user. We are developing a smartphone application to achieve this goal. This application consists of two main functions; delivering the analyzed data to the end user, and enabling the end user to search in the database. By us...

  4. What is Artificial Intelligence Surveillance? At its core, artificial intelligence surveillance involves the use of computer software and algorithms to analyze video footage from cameras. This analysis goes far beyond simple motion detection, which only detects changes in pixels within a scene.

  5. Apr 6, 2021 · AI-powered platforms significantly reduce the number of false positives, allowing security teams to take a more cost-effective approach to staffing. With intelligent video surveillance, companies can deploy a lean team of remote monitors to keep tabs on several locations.

    • Steve Lindsey
  6. Oct 29, 2024 · AI allows you to focus your home security on what's important to you. Home camera algorithms have the potential to solve specific problems, like keeping an eye on porch theft or only letting you ...

  7. Jan 2, 2024 · AI-enabled surveillance systems are built on deep learning models with extensive real-world datasets and are trained to recognize, classify and locate humans and objects the way a human brain works.

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    related to: What is AI-enabled smart video surveillance?
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  3. eufy.com has been visited by 10K+ users in the past month

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