There's still a lot to do
Safe social distance monitoring with Computer Vision
A vision-based solution helps to monitor the recommended social distance in pandemic times
Since the beginning of the world pandemic of Covid-19, we have followed several Artificial Intelligence initiatives that help in the control, combat, monitoring and search for solutions for new drugs.
You can follow, on our Intelligent Connections channel on Youtube, the live "Intelligence is the best weapon in the war against COVID-19", which presents several artificial intelligence initiatives that are being used around the world: https: // youtu.be/cEV1Jn5gGSw
In this post, I would like to disclose a personal initiative, by our notable Artificial Intelligence associate, Alessandro Faria (https://www.linkedin.com/in/alessandro-de-oliveira-faria-97195835/), which he developed with Vision Computational (Artificial Intelligence algorithms that act in the capture, classification and understanding of images of different natures), a safe social distance monitoring, suggested by the WHO.
In his project, he used images from public cameras on Avenida Paulista, in the city of São Paulo, to identify people, with convolutional neural networks, and calculate the distance between pedestrians, with an estimated calculation based on the relative transformation of the coordinates used in augmented reality. When the distance is less than the predefined, the algorithm generates an alert.
Follow the algorithm in real time: https://cam.assuntonerd.com.br/
Information on technology used:
The openCV and openVINO libraries embedded in oneAPI are used in the development.
Intel Inside: OpenVINO, oneAPI
About the author
É sócio fundador da I2AI – Associação Internacional de Inteligência Artificial. Também é sócio-fundador da Engrama, sócios das Startups D2i e Egronn e investidor nas startups Agrointeli e CleanCloud. Tem mais de 20 anos de experiência em multinacionais como Siemens, Eaton e Voith, com vivência em países e culturas tão diversas como Estados Unidos, Alemanha e China.
Palestrante internacional, professor, pesquisador, autor, empreendedor serial, e amante de tecnologia. É apaixonado pelo os temas de Estratégia, Inteligência Competitiva e Inovação.
É Doutor em Gestão da Inovação e Mestre em Redes Bayesianas (abordagem de IA) pela FEA-USP. É pós-graduado em Administração pela FGV e graduado em Engenharia Mecânica pela Unicamp.
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