Artificial intelligence is a somewhat specialized field of study. For home security purposes, we’re just interested in one subset of artificial intelligence: machine learning. Machine learning makes use of artificial intelligence to filter through massive volumes of data, detect patterns, and learn from those patterns.

Assume we wish to train a security camera to distinguish between people, motor vehicles, and non-motor vehicles. We can do this using machine learning by manually giving the security camera the information it needs to identify these things. For example, we configure the camera to identify certain characteristics of people, motor cars, and non-motor vehicles. We tell it roughly what sizes and shapes to search for, what speeds these things should have, and what the various components of each item should look like. As a result, the machine may learn to distinguish between human movement, vehicle movement, and other kinds of movement that should be disregarded.

You address several issues at once by concentrating the camera’s attention only on human action. Here are a few of the benefits of deep learning technology for video monitoring.

• Make the most of your recording space. If you already have your recorder set up to capture an incident, incorporating deep learning into your video surveillance system may help you save a significant amount of recording space. When you use conventional pixel-based motion detection, your recorder will begin recording everything that moves. Animals, leaves, and changing shadows are all part of the scene. All of these will cause your recorder to begin recording.
• Find significant events more quickly. Even if you’re constantly recording on your recorder, it’s useful to be able to navigate your replay menu to see key occurrences. During recorded events, your replay timeline will usually have a different hue. However, if your recorder believes it is always capturing significant events, this function will be ineffective. With a deep learning security camera, you can be certain that the colored events on your timeline represent significant events caused by human movement.
• Mitigate the frequency of mobile app notifications. Many consumers with security cameras send event notifications to their phone. Your camera is set up to receive push notifications. You get a push notice a few minutes later. You looked into it and discovered that it was a false alarm. There was a “Ding!” a few minutes later.
• You receive another notice. You double-check, only to realize that there is yet another false alarm. The notifications begin to fade into the background after a few false alarms. You’ll soon notice that you’re not checking your phone. You eventually just turn off all notifications. With deep learning, your phone will only notify you of important events, increasing your chances of detecting suspicious behavior as it occurs.

As IP technology advances, our security cameras get smarter and wiser all the time. Machine learning AI has enabled its cameras to get smarter and more dependable over time. This means if you buy a deep learning camera now, its camera movement will be even more precise in a year.