Infineon Technologies is launching its battery-powered Smart Alarm System (SAS). The technology platform achieves high accuracy and low-power operation using artificial intelligence/machine learning (AI/ML)-based sensor fusion.
This technology combined with acoustic detection of low-power activation events provides remarkable performance. The compact design exceeds the detection accuracy of acoustic-only alarm systems currently used in smart buildings, smart homes and other IoT applications, while providing 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 Solutions of IoT and sensors from Infineon's Power & Sensor Systems Division. “Current home security solutions are unreliable in detecting events such as broken glass. Our new solution combines several cutting-edge technologies to create a smart, reliable and energy-efficient alarm system. We look forward to bringing more innovative solutions to the home security market.”
The solution incorporates Infineon's high signal-to-noise ratio (SNR) analog XENSIV MEMS microphone IM73A135V01 XENSIV DPS310 digital pressure sensor and PSoC 62 microcontroller. Infineon also provides an accurately trained AI/ML-based sensor fusion software algorithm that combines data from acoustic and pressure sensors to accurately differentiate between high-pitched sounds within a home and distinct audio/pressure events.
These events can be created when a glass is broken or a home 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 is also capable of eliminating many other background sounds or background pressure events that can generate false positives due to similarities with alarm systems.
