09/11/2026
Most CCTV systems are designed to capture and store footage. NDIS AI is designed to make that footage operationally useful.
By analysing live and recorded video streams from existing CCTV infrastructure, NDIS AI detects, classifies and evaluates events as they occur. Relevant activity is then converted into actionable alarms and delivered directly to the command centre with the appropriate context, priority and supporting video.
This allows security teams to move away from continuous manual monitoring and focus their attention on events that require intervention. Instead of relying on operators to identify unusual activity across large numbers of camera feeds, NDIS AI brings significant events to their attention automatically.
Our platform supports a broad range of video analytics, including intrusion and perimeter detection, line crossing, loitering, abandoned objects, crowd activity, aggressive behaviour, falls, camera tampering, person and vehicle analytics, and other operational or security-related scenarios.
Because NDIS AI works with existing camera infrastructure, organisations can introduce intelligent video analytics without replacing their current CCTV environment. Analytics can be deployed across selected cameras, locations or use cases and integrated into existing security workflows.
Detected events can also be correlated with other systems and managed through NDIS alarm workflows, allowing operators to receive the relevant camera view, alarm information and incident context within a unified environment.
The result is a more focused security operation: fewer feeds requiring constant attention, faster identification of relevant events, and clearer information available to operators when a response is required.
NDIS AI turns existing CCTV infrastructure from a passive recording environment into an active source of operational intelligence — delivering the right event, with the right context, to the right operator at the right time.