Infineon Applied sciences has launched the corporate’s first Good Alarm System (SAS) that’s powered by batteries. The system incorporates Infineon’s XENSIV MEMS microphone IM73A135V01. The SAS utilises synthetic intelligence (AI) and Machine Studying (ML) to realize excessive accuracy whereas consuming minimal energy operation utilizing sensor fusion. The system can be utilized for a house safety system as an intrusion detection system and it’s able to detecting low ranges of sounds with higher accuracy which was not doable of much less refined options. The answer is able to differentiating completely different sounds such because the breaking of glass or an alarm triggered as a consequence of fireplace.
“We’re excited to allow a novel and differentiated method to deliver AI/ML capabilities to cost-sensitive, battery-powered residence safety sensor techniques, with out sacrificing battery life,” mentioned Laurent Remont, Vice President of IoT and Sensor Options at Infineon’s Energy & Sensor Techniques Division. “Present residence safety options are unreliable for detecting occasions corresponding to glass break. Our new answer combines plenty of best-in-class applied sciences to create an alarm system that’s good, dependable and energy environment friendly. We stay up for bringing extra progressive options into the house safety market.”
The SAS system incorporates a XENSIV digital stress sensor DPS310 together with a excessive signal-to-noise- (SNR) analog XENSIV MEMS microphone IM73A135V01 and PSoC 62 microcontroller. The battery-powered SAS system makes use of a sensor fusion software program algorithm which has been exactly educated utilizing AI/ML that mixes acoustic and stress sensor knowledge to precisely differentiate between sounds of various objects and occasions. It’s able to differentiating the sharp sounds inside a house and distinctive audio/stress occasions. The SAS system can precisely determine occasions corresponding to when a glass is damaged, or a home alarm is triggered. The educated mannequin is able to eliminating background noises or background stress occasions that may generate false positives because of the similarities to alarm techniques.
