Lumana
Aviad Zabatani is an experienced professional in the fields of artificial intelligence and computer vision, currently serving as the AI Algorithm team leader at Lumana since July 2022, focusing on video analytics. Prior to this role, Aviad was the Head of Computer Vision at a stealth-connected fitness startup from November 2021 to August 2022. Aviad's extensive background includes over nine years at Intel Corporation, where multiple positions were held, including Algorithms Engineer and Algorithm Engineering Manager. Earlier experience includes a role as a Software Engineer at Elbit Systems Ltd from August 2009 to June 2012. Aviad holds an Engineer's Degree and is pursuing a Master's Degree in Electrical and Electronics Engineering and Computer Science from Tel Aviv University, where studies commenced in 2007.
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Lumana
Existing physical security systems are fragmented, complex, and reactive. Lumana challenges this paradigm by providing modern, AI-powered video security to enhance security and safety, streamline operations, and enable immediate incident response. Founded by computer vision experts, Lumana is pioneering the future of security with visual AI that provides near-human-like perception to help eliminate monitoring fatigue, false alarms, and reactive security management. Engineered to deliver a seamless AI video security experience, Lumana empowers enterprises to quickly see, understand, and respond – anywhere, anytime, from any device. Unlock the power of your visual data and see what matters at www.lumana.ai