As we move past an unprecedented year of change, everyone is eager to see what 2021 has in store. For those in the security and surveillance space, of particular interest is how video content analytics might evolve to support emerging use cases. In that vein, Deep Learning and Predictive Analytics are among the key technologies that will continue to benefit video surveillance solutions development and adoption in 2021 - here's why. 

One of the largest public train operators in the United Kingdom, Southeastern Rail Network, upgraded its analog legacy system to a smart video security solution for securing 12 train depots, including five unmanned locations, against theft and intrusion.

As the Internet of Things (IoT) continues to grow, billions of devices are networked each year. As the number of end devices continues to grow, the technology is becoming smarter and more versatile.

The legalized marijuana industry is one of the fastest-growing industries in the U.S. Here are some solutions available to cannabis growers and dispensaries that may help comply with security and surveillance requirements.

Analytics don't just enhance the security mission, they act as a force multiplier and drive new levels of awareness and insight. They can also boost the position of the security professional within an enterprise.

Artificial intelligence (AI) presents a perfect solution to compensate for unmanned environments or those with limited staffing, or the loss of vigilance after looking at a screen too long. AI can help us not only watch continuously, but also feed systems that are able to sort, organize and categorize massive amounts of data in a way that human operators cannot. And it can do so far more reliably than traditional video analytics ever did.

The Art Institute of Chicago, one of the premier fine arts museums in the United States, recently installed state-of-the-art IP-based video surveillance. Learn how you can use IP video as well.