As seen in May 2023 Issue of Security Journal Americas (SJA)
There is a confluence of trends happening in the video surveillance space. AI, analytics, machine learning, video compression technology and bandwidth management are just a few technologies that have recently had a profound impact on the capabilities of the traditional video surveillance system.
Due to this, surveillance systems today are now smarter, faster and multi-dimensional when compared with systems from just a few short years ago. It’s safe to say that video surveillance has shifted from being an after-the-fact tool supportive of investigative purposes, such as to identify a bank robber, to a transformative, dynamic solution that enables real-time information and decision making.
Known as actionable video intelligence, this ability to gather data and then use that information to make decisions in real-time is changing the way surveillance systems are being used. For retailers, this information is beneficial because it can have a significant impact on business operations, enabling retailers to quickly pivot to address a problem or improve performance.
Surveillance systems today are now smarter, faster and multi-dimensional when compared with systems from just a few short years ago
This is particularly important as retailers face the modern-day challenges of labor shortages, rising costs of goods, organized crime and increased violence within stores, which are forcing retailers to go beyond traditional uses of video surveillance to ensure the protection of employees, shoppers and merchandise as well as improve store performance.
Using an open architecture video management platform provides the foundation for retailers to tap into a number of different analytics that support enhanced loss prevention initiatives and assist in gathering operational data about the store.
