Objetivo
With a home burglary taking place every 0.8 seconds in Europe, people’s increasing concerns for both personal and property security is propelling the Smart Home Security market. A host of hardwired, wireless, and compact self-contained Smart Security systems is commercially available, embedding motion detectors, door/window sensors, and video cameras. However, the latest market researches on consumers’ expectations emphasise a gap between what is currently available and the consumers’ quest for affordable, reliable, easy to use and stylish home devices. LYT SONIC’s mission is to change the way home security is delivered, by integrating an innovative infrasonic detection technology into a smart LED bulb, to be easily plugged into any lamp holder end/or socket. The core innovation is represented by the advancement of the infrasonic detection technology, the new frontier in the security industry, whose development is being pioneered by few companies with still limited success. Through a proprietary algorithm able to pinpoint the source of the infrasound signal LYT Sonic represents a simple, affordable, reliable and intuitive product for smart home security. LYT SONIC infrasonic waves’ sensor collects environmental sounds and, through a WiFi connection, transmit them to a software application with a machine learning algorithm able to analyse the event, discriminate false and true alarms, and control both the alarm system and home lighting. The benefits are highly valuable to the users:
1) Immediate installation and easy portability. 2) Low price, in the range of 110-160 €, and no maintenance costs. 3) Total coverage of the house (up to 120 m2 with a single light bulb). 4) High reliability, thanks to the proprietary pattern recognition algorithm which profiles the sound waves at home, and through a machine learning procedure able to minimize false alarms. 5) A simple and lean design.
Ámbito científico
- humanitieslanguages and literaturelinguisticsphonetics
- natural sciencescomputer and information sciencesartificial intelligencepattern recognition
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemshome automation
- social scienceseconomics and businessbusiness and managementcommerce
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEINST-1-2016-2017
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
03012 ANAGNI
Italia
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.