AI/ML alarm system has high accuracy and very low-power operation

Infineon Technologies AG is launching its battery-powered Smart Alarm System (SAS). The technology platform delivers high accuracy and very low-power operation employing sensor fusion based on AI/ML. This technology and low-power wake-on acoustic event detection offer remarkable performance. The compact design surpasses the detection accuracy of acoustic-only alarm systems utilised today in smart buildings and homes, and other IoT applications while attaining equal or greater battery life compared to less sophisticated solutions.

“We are excited to enable a unique and differentiated approach to bringing AI/ML capabilities to cost-sensitive, battery-powered home security sensor systems without sacrificing battery life,” said Laurent Remont, vice president of IoT and Sensor Solutions at Infineon’s Power and Sensor Systems Division. “Current home security solutions are unreliable for detecting events such as glass break. Our new solution combines a number of best-in-class technologies to create an alarm system that is smart, reliable and power-efficient. We look forward to bringing more innovative solutions into the home security market.”

The solution comprises its high SNR analog XENSIV MEMS microphone IM73A135V01, XENSIV digital pressure sensor DPS310 and PSoC 62 microcontroller. It also offers a sensor fusion software algorithm based on precisely trained AI/ML that integrates acoustic and pressure sensor data to accurately differentiate among sharp sounds in a home and distinctive audio/pressure events. These events can be produced when glass is broken, or a house alarm is triggered due to a smoke alarm, a carbon monoxide alarm or an intrusion is detected through a door or window.

The AI/ML sensor fusion algorithm can also eradicate many other background sounds or background pressure events that can induce false positives due to the similarities to alarm systems.