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Active ultrasonic sensors produce ultrasonic sound waves at frequencies that are higher than those that are audible to humans. These waves return to the motion sensor after bouncing off nearby objects. The signal’s waypoint is a transducer inside the sensor, which transmits the pulse and receives the echo.
To detect motion, infrared sensors use infrared light. When motion is detected by a security system, an alarm, light, or alert are set off. Active and passive infrared sensors are the two types of infrared sensors most frequently seen in security equipment.
Mechanical or electrical alarm sensors need to be strategically placed in order to monitor situations that call for security alerts. Alarm sensor systems must be designed with extra care to protect equipment from harm and to withstand and prevent tampering.
All alarm systems should have control boxes, outdoor bells, and junction boxes that are secured with high-quality locks or that provide an alert if the alarm device has been opened or tampered with.
The global Alarm sensor market accounted for $XX Billion in 2023and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
The Smart Alarm System from Infineon Technologies AG is now available (SAS). The technology platform uses sensor fusion based on artificial intelligence/machine learning (AI/ML) to achieve high precision and very low-power operation.
Performance is astounding when this technique is paired with low-power wake-on acoustic event detection. The small design achieves equivalent or greater battery life compared to less complex solutions while outperforming the detection accuracy of acoustic-only alarm systems now utilised in smart homes and buildings and other IoT applications.
According to the Vice President of IoT and Sensor Solutions at Infineon’s Power & Sensor Systems Division, they are thrilled to offer a special and distinctive way to introduce AI/ML capabilities to battery-powered, cost-constrained home security sensor systems without sacrificing battery life.
The system uses an Infineon PSoC 62 microcontroller, XENSIV digital pressure sensor DPS310, and high signal-to-noise ratio (SNR) analog XENSIV MEMS microphone.
Additionally, Infineon offers a sensor fusion software technique that integrates data from pressure and acoustic sensors to reliably distinguish between sharp noises inside a home and distinguish audio/pressure events.
This system is based on finely taught AI/ML. These occurrences can result from glass breaking, a house alarm going off owing to a smoke alarm, carbon monoxide alarm, or a door or window being smashed into.
