Apple is working on a line of smart home products, including a home security camera, according to Bloomberg’s Mark Gurman. The tech giant has filed for a patent for “Techniques for Detecting Motion’ that may hint at features in such devices.
About the camera Gurman has this to say: “The device has facial recognition and infrared sensors to determine who is in a room. Apple believes users will place cameras throughout their home to help with automation. That could mean turning lights off when someone leaves a room or automatically playing music liked by a particular family member.”
Gurman adds that Apple is also working on a smart doorbell with advanced facial recognition that wirelessly connects to a deadbolt lock. The idea is that the doorbell could automatically unlock the door for a home’s residents by scanning their face — just like Face ID lets them into their iPhone.
“Work on the doorbell is still in the early stages, though,” he has said previously, in a December 2024 report. “I’m told not to expect anything to come to market before the end of next year at the soonest. If it ultimately debuts, I expect it to make good use of the company’s upcoming Proxima wireless chip and its secure enclave feature, which helps protects customers’ data.”
About the patent filing
The patent filing generally relates to detecting motion using a combination of video-based and audio-based motion detection models in accordance with some embodiments. In it Apple says that electronic devices with audio and/or video capabilities are becoming increasingly prevalent in home security systems. For example, cameras and/or microphones are often integrated into doorbells, security systems, and smart home accessories to monitor activity.
While traditional motion detection primarily relies on visual processing, such techniques can be computationally intensive and may fail in certain environmental conditions and/or when motion occurs outside of a visual detection range. Apple’s patent filing is designed to address the need for “more efficient and reliable motion detection techniques that can work across different computational environments and leverage both audio and visual data for improved accuracy.”
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