When AI-Powered Thermal Cameras May Not Be Right for Your Data Center

Below, Allen DiGerolami, Business Development Manager for Data Center Solutions at Hanwha Vision America, discusses how to effectively manage security systems in data centers.

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Thermal surveillance cameras with AI capabilities can be highly effective fordata center operators. They deliver many obvious benefits that enhancesafety, maximize productivity, and improve operational efficiency, from theperimeter to the data center core. But, they may not always be ideal forevery situation.

Implementing AI-powered systems can require more time and broaderexperience in managing thermal data effectively.

For data center operators facing these conditions, working closely with theright video surveillance partner can pay big dividends. They can either guideyou to other high-performing non-AI thermal options that best fit yourneeds, or provide you with a clear roadmap – and clear Total Cost ofOwnership evaluation – to optimize your AI journey and use of AI-poweredthermal cameras.

Budgetary Considerations: Data centers with significant operating budget constraints should work closely with their video surveillance partner to determine if more expensive, AI-powered thermal cameras are truly the best option, or if available budget should be directed towards traditional thermal cameras, or other surveillance options.

Data/Privacy Concerns: Combining the power of AI and advanced imaging into a single camera can capture significant data, including individual behavior patterns, common movements, heat signatures, and more. While this might not be a concern in a single, company-owned and operated data center, the use of AI-powered thermal cameras can raise privacy concerns for employees and visitors in other types of data centers, most notably multi-tenant ones.