Setup

How does Awareye AI work with a small setup of 5 cameras?
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In a small setup, customers can choose between on-premises or cloud deployment of the Awareye AI solution. Each camera requires approximately 2 Mbps of uplink and 30 GB of storage per day. Both WiFi and wired options work well in small configurations.

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How does Awareye AI work with a medium-sized setup of 25 cameras?
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In a medium-sized setup, Awareye AI operates with a single server deployed either on-premises or in the cloud. If cameras are installed across multiple physical locations, each site will need its own on-premises server. Alternatively, a cloud deployment can centralize all cameras under one logical site. Wired cameras are preferred to avoid WiFi congestion, though gigabit WiFi routers with WiFi-6+ can handle the load in medium-sized setups.

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How does Awareye AI work with a large enterprise setup of 500 cameras?
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Large enterprise setups require multiple Awareye AI servers in a mesh configuration, with each server handling around 20 cameras. Cloud deployment is impractical for large setups, making on-premises deployment across multiple sites the optimal choice. Due to high bandwidth demands, WiFi is not feasible, necessitating a wired network. Dedicated NAS devices with camera schedules are used for double backup and load optimization.

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What are the implications of choosing between on-prem and cloud hosting?
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On-premises deployment provides full control over data and offers significant cost savings. In contrast, cloud deployment reduces IT management overhead. However, for large setups, the bandwidth requirements for cloud deployment may make it impractical.