Managing Director
CEO of Startup company called JALUD Embedded.
We have developed Sound Event Detector (SED). We add an ear to already existing security solutions. In serious incidents, literally seconds make the difference. Our device reduces the standard process of reporting a dangerous event by a human from about 7 min to less than 5s.
SED is a solution that uses a proprietary algorithm driven by machine learning technology to detect, classify and subsequently alert on unwanted acoustic events. These events can be a gunshot, a scream, or high urban noise levels.
Machine Learning&AI, visual processing, big data analysis,
PhD in Natural Language Processing,