Analytics and AI Suite Expansion to Include Camera Tampering

Eagle Eye Networks released a camera tampering analytic that automatically detects and notifies users if a camera is tampered with. While camera tamper notifications are not new to the industry, Eagle Eye Networks AI-based approach serves as a differentiator, delivering enhanced accuracy, reliability, and a reduction of false alarms to Eagle Eye Cloud customers.

Common examples of camera tampering include a sudden change to focus, a covered lens, or an intentional redirection of the camera’s view by physically moving the camera. Without real-time tampering notifications, reaction times to a criminal act may be delayed, or in a more benign case, accidental camera movements, like employees cleaning, may prevent the camera from capturing later events. The tampering analytic can be applied to any camera whether IP or Analog. If someone blocks the camera’s view, tampering is detected. Alerts may be enabled just as with other analytics or motion.  Unique to Tampering, there is a sensitivity setting which only applies to Tampering.  This analytic was designed to handle  camera transitions to and from day and night without triggering Tampering.

In addition to camera tampering, Eagle Eye Networks offers the following analytics

• Line Crossing
• People Counting
• Intrusion Detection
• Object Counting
• Loitering

The camera tampering analytic is immediately available globally and can be enabled within the Eagle Eye Dashboard on a camera-by-camera basis. Customers do not need to replace their existing cameras to use the Eagle Eye Cloud VMS camera tampering analytic.To add Analytics to any camera, open the camera settings and go to the Analytics tab.  Enable the Tampering analytic by checking the box.

Eagle Eye Networks

Since 2012, Eagle Eye Networks has provided smart cloud surveillance solutions, leveraging AI to drive natural language search, automation, and more. Eagle Eye’s camera-agnostic approach heightens security while saving money, time, and resources.