mix two video surveillance feeds into one web monitor

What is happening now? Automated analysis of current conditions can generate real-time insight enabling a rapid response to incidents.What just happened? Intelligent video surveillance systems can easily search through large volumes of footage to identify interesting activity faster than legacy solutions.Building intelligence into video surveillance systems enables them to better answer the questions for which they were initially deployed. NB-IoT’s signal penetration capabilities allow video cameras to be placed in previously inaccessible areas.Īpplications of Advanced Video SurveillanceĪdvanced video surveillance capabilities have many applications in business, industry and society in general.

The reduced latency improves the performance of video systems and elevates the user experience.

Wireless communication technologies such as 5G and narrow band IoT (NB-IoT) improve the speed with which video feeds are made available to human and AI applications.

Reliably trained AI systems enable extensive networks of surveillance equipment to be deployed without the need for human monitoring.

Artificial intelligence (AI) and deep machine learning (ML) are bringing the power of analytics to unmanned video surveillance.

Mix two video surveillance feeds into one web monitor