CCTV (or closed-circuit television) was first used in World War 2 when German scientists created a camera inside a box to safely observe the launches of A4 rockets.
It’s been more than 75 years since it’s inception, yet they are still primarily used for surveillance and crime detention. The world has changed significantly since then with innovations like the internet and smartphones. However, not that much has changed in terms of CCTV architecture and utility. Almost all cameras today are used to record footage that has to be later analyzed by humans if something happens. Not only is this process very slow, but it’s costly, and requires human attention and massive amounts of data storage.
Considering recent developments in machine learning and camera quality, a lot will change soon. Instead of reacting to events after they have occurred, we expect hardware and software capabilities to reach a point where cameras automatically detect and notify people about incidents and important events happening within their range.
In this article we will briefly outline the most significant advancements in its transformation process and see what’s in store for the near future.