Magos AI appliances integrate deep learning video analytics with any IP camera – Daylight or Thermal to provide video detection and classification capabilities to the complete MASS system. This provides a very robust and reliable target classification capability, greatly reduces nuisance alarms from wildlife and swaying vegetation, and also improves target tracking performance. An AI appliance runs Magos’ MASS and performs video analytics on several video channels concurrently. For larger sites, Appliances can be seamlessly stacked to work with any number of video channels.
A 19'' rack-mounted Dell server with 1U.
Designed for sites with suitable IT infrastructure and offering the best failure resilience, it includes a RAID HDD, ECC memory, redundant power supply, and on-site service coverage by DELL for any hardware failure. The specs consist of an Intel Xeon processor that supports the Magos MASS application with many radars for large sites.
Mini AI Appliance
The cost-effective version of the AI appliance. Designed for smaller sites with less developed IT infrastructure or space limitations. It has a compact mini-PC form factor and is ideal for small sites, though it still requires a cooled/air-conditioned environment to run in. It is highly reliable, based on a Lenovo mini-PC architecture, and provides the same video performance as the larger AI appliance.
Its small form factor also makes it ideal for demos and short-term POCs.
Industrial AI Appliance
The industrial-grade version of the AI appliance can operate in extended temperature ranges and is designed for remote/small sites with no air-conditioning/IT infrastructure. It can be installed inside a field box relying solely on fan cooling. This version is also suitable for demos and short-term POCs as it is relatively smaller than the 1U 19" rack mount server and does not require a cooled environment.