Microsemi and D-Link collaborate on IoT enabled smart alarm detector
Leveraging the latest Internet of Things (IoT) technology, mydlink Smart Alarm Detector plugs into an electrical outlet to create an integrated home safety system, without the cost and inconvenience of installing new smoke or carbon monoxide detectors. The Microsemi system-on-chip (SoC) audio processor inside the Smart Alarm Detector detects the sound of an industry standard T3 smoke alarm or T4 carbon monoxide alarm and passes that detection flag to an app notifying the homeowner or alarm monitoring company. This enables homes without Wi-Fi enabled alarms to avoid undergoing expensive home rewiring and/or alarm replacement (of approximately $100 each) by simply plugging this module into the wall as a simple addition to the existing detector network.
According to market research firm International Data Corporation (IDC), IoT technology and services spending will generate global revenues of $8.9 trillion by 2020, growing at a compound annual growth rate (CAGR) of approximately 8 percent. Using today’s IoT technology, the Smart Alarm Detector easily connects to an existing Wi-Fi network and works with any UL-certified smoke and carbon monoxide alarm. By placing the detector within 50 feet of these alarms, it accurately detects the temporal sounds from the smoke and carbon monoxide alarms via the Microsemi audio processor and sends a mobile push notification if either of the alarms sound.
Designed for world-class high definition voice applications, the ZL380 series of audio processors features Microsemi’s AcuEdge technology. This innovative technology includes a set of highly complex and integrated algorithms that allows the user to extract more information from the audio environment. It consists of license-free, royalty-free intelligent audio intellectual property (IP) algorithms. When combined with Microsemi’s highly integrated ZL380 series of audio processors, customers can accellerate time-to-market via a validated reference design and MiTuner™ graphical user interface (GUI) software.