AI in Camera Systems have been around for years

A Quick Look Back at AI in Camera Systems

  • Early 2000s – Motion Detection: Cameras could detect movement and trigger recording only when something changed in the frame; reducing storage costs and false alarms.
  • 2010–2015 – Facial & Object Recognition: Systems learned to identify people, vehicles, and license plates instead of just motion.
  • 2016–2020 – Smart Alerts & Analytics: Cameras began filtering “real” events from environmental noise (like rain, shadows, or tree branches).
  • 2021–Present – Deep Learning & Cloud AI: Modern systems now use cloud processing and neural networks to detect unusual behavior, track movement across multiple cameras, and provide instant mobile notifications.
Camera Systems