AI-powered motion detection technology uses machine learning algorithms to distinguish human motion from other sources of movement, such as pets or heat generating moving objects. By using AI-powered motion detection, it can drastically reduce false triggers so that homeowners can receive only relevant alerts of unusual activity. With such capable sensing throughout the home, one can even track movement patterns when an intrusion is detected, like where the break-in occurred, trace the areas the intruder is scouting or where the intruder is currently hiding.

AI-powered home security solutions can use machine learning algorithms to learn the homeowner’s occupancy patterns and automatically adapt and adjust the security settings accordingly. For example, if during the weekday the home is vacant by 9:30 am, the solution can predict and then check for vacancy and auto-arm the home. Similarly, it can predict children arriving back from school around 3:30 pm and auto disarm the home. So any human movement between 9:35 am till 3:30 pm can be flagged as an anomaly. Again, with AI learning models, it can learn patterns of babysitters, caretakers, cleaners arriving and can auto disarm the home based on policy access. If the homeowner desires that the crew does not enter a particular room it can still be armed while rest the of the home is disarmed.

By using AI models, home security systems can auto-personalized for the homeowner.

As AI technology continues to evolve, we can expect even more innovative home security solutions that will make our homes safer than ever before.