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There is Cloud VMS provides a variety of AI use cases that VXG supports, including:

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Occupancy or people counting.

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People or car detection.

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Perimeter or line crossing.

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pre-processing functions and interfaces for integration with AI and making AI processing cost efficient.

Filtering and sampling

The operations are performed in 3 steps:

  1. Filtering based on camera events (motion, etc.).

  2. Sampling and preparation of data in the most efficient format.

  3. Interfacing with AI.

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As the result of the first two steps, VXG significantly reduces the load on AI engines and the bandwidth, making AI operations cost-efficient. 

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VXG extracts data and makes it available in the following formats:

  1. Timer-based images.

  2. Event-based images.

  3. Continuous video.

  4. Event-based video.

Supported AI services

As the last step, VXG interfaces the data with AI engines. VXG is integrated with a variety of AI engines including:

  1. Amazon Rekognition

  2. Google Vision AI

  3. Azure Cognitive Services

  4. YOLO (hosted by VXG)

The 3-step approach results in huge cost and bandwidth savings.

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