AI / ML-based acoustic event detection and sensor fusion alarm is battery powered
Infineon Technologies has introduced the battery-powered Smart Alarm System (SAS). It uses sensor fusion based on artificial intelligence / machine learning (AI / ML), combined with low power wake-on acoustic event detection.
The compact design is claimed to exceed the detection accuracy of acoustic-only alarm systems used today in smart buildings and homes, and other IoT applications and equal or exceed the battery life of less sophisticated systems.
The design incorporates Infineon’s high signal to noise ratio (SNR) analogue Xensiv MEMS microphone IM73A135V01, the Xensiv digital pressure sensor DPS310 and PSoC 62 microcontroller. There is also a sensor fusion software algorithm based on AI / ML that combines acoustic and pressure sensor data to differentiate between sharp sounds inside a home and distinctive audio / pressure events, such as breaking glass, a smoke alarm or a carbon monoxide alarm.
The AI / ML sensor fusion algorithm is also capable of eliminating other background sounds or background pressure events that can generate false positives due to the similarities to alarm systems, noted Infineon.
The home security alarm SAS reference design technology is available today, and the board will be available in September 2022.
