Optimise site surveillance, security and maintenance with real-time video analytics that detect problems and anomalous activities.
Detect anomalous activity
Nokia uses machine learning for video analytics to detect anomalous behaviour across video frames. Our models run at the edge, spotting unexpected movement, excess dwell time, and other unusual vectors. We can capture the suspect video and send it to human operators for review, or pipe it to other models for further analysis such as object detection. Scene analytics solutions dramatically reduce the amount of video requiring review, increasing the detection of real problems.
Optimise site surveillance
Nokia Scene analytics provides real-time alerts for unauthorised entry into remote facilities, forensic evidence for unusual events, and because it runs on edge computing resources, can greatly reduce the bandwidth required at remote sites with limited connectivity.
Nokia Scene analytics can detect and alert supervisors when personnel or equipment enter unsafe locations in industrial settings, or heavy machinery is out of position creating a hazard. It can detect people, cars, and objects stuck at railroad crossings or potential criminal activity at rail stations and yards.