Este sitio utiliza cookies para ofrecerle un servicio más ágil y personalizado. Al utilizar este sitio, acepta el uso que hacemos de las cookies. Puede obtener más información sobre el uso que hacemos de las cookies y tecnologías similares y sobre sus opciones consultando nuestra Política de privacidad. Al hacer clic en "Acepto", acepta nuestro uso de cookies y tecnologías similares.
From legacy to AI: Choosing the right video surveillance migration path
AI is reshaping what’s possible with video surveillance, but what does that mean for organizations still operating legacy systems?
In a recent article published by asmag.com, Cathal Walsh shared his perspective on the growing adoption of AI-enabled surveillance, noting: “More organizations are seeking to implement AI video surveillance systems. The driving force behind AI adoption is the advanced features, primarily algorithms facilitating proactive operational readiness compared with legacy surveillance systems that are often used passively to investigate reported incidents.”
As organizations look to incorporate AI into their security programs, understanding the key considerations, opportunities, and infrastructure requirements is critical to planning the right path forward.
MSU Institutional Assessment + RAMAGELLAN MonitorshipEmpire/Liberty Review