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Intelligent Sensing Group
Center for Digital Engineering

About us


Development of intelligent sensor systems based on wireless sensor networks, wearable systems and UAVs. Intelligent options are realised through the use of machine learning, deep learning, transfer learning and computer vision techniques implemented in the context of embedded systems. Applications: Monitoring, detection and control tasks. Our developments are used in applications such as biomedicine/telemedicine, esports, agriculture, waste sorting, detection of harmful and explosive gases and gas mixtures.


Andrey
Andrey
Somov
Associate Professor
research directions
Publications
MSc and PhD studies
research directions
Просчитать все отходы: в РФ создан умный оптический сортировщик мусора
Наука Россия 24. Умная сортировка пластиковых отходов
"This is Moscow. Transport": Traveling on the MCD-1 by train
"Это Москва. Транспорт": путешествие по МЦД-1 на электричке Подробнее: https://www.m24.ru/shows1/187/708453?utm_source=CopyBuf
Skoltech startup Game-R provided final game analytics at the Counter-Strike 2 phygital tournament in Kazan as part of the international event Games of the Future
Стартап Сколтеха Game-R предоставил итоговую игровую аналитику на фиджитал-турнире по Counter-Strike 2 в Казани в рамках международного мероприятия Игры будущего.
Computer vision and neural networks to help detect crop diseases
Computer vision and neural networks to help detect crop diseases
Computer vision and neural networks will help detect diseases of fruits in storage
Компьютерное зрение и нейронные сети помогут обнаружить болезни плодов на хранении
6 Skoltech startups ranked among Russia’s top 100 university startups according to Ministry of Science and Higher Education
6 Skoltech startups ranked among Russia’s top 100 university startups according to Ministry of Science and Higher Education.
Sixteen scientists from Skoltech appeared on the list of the world’s top 2% of the most cited researchers according to career-long and single-year impact compiled by Elsevier
Sixteen scientists from Skoltech appeared on the list of the world’s top 2% of the most cited researchers according to career-long and single-year impact compiled by Elsevier.
Контакты

Андрей Сомов, руководитель научной группы