Tokyo, Japan [June 23, 2020]
Elix, Inc. (CEO: Shinya Yuki / Head Office: Chiyoda-ku, Tokyo, hereinafter “Elix”), a research-oriented technology company specialized in deep learning, has developed an AI solution that enables measuring the number of people in crowds and their proximity. This is done by analyzing images in real-time and detecting the crowd size and relative positions of the people recorded by the camera. This solution has been designed as a countermeasure for coronavirus (hereinafter “COVID-19 ”) infections. Since Thursday June 4, 2020, the company has started providing this solution for experimental use to corporates and municipalities that are requesting its implementation.
As a research-oriented technology company specialized in deep learning, Elix’s main partners are predominantly the R&D division of major companies. Elix offers full assistance, from consulting, model-development and model-licensing to their partners. Currently, their focus is computer vision and AI Drug Discovery / Materials Informatics.
Computer vision has been the primary focus since the company’s foundation, which has seen them develop many AI models for autonomous driving / ADAS, anomaly detection / visual inspection and real-time processing on edge devices.
Currently, COVID-19 is threatening the lives of people worldwide. One of the best preventive measures against the spread of COVID-19 is social distancing, such as avoiding closed spaces, crowded places and close-contact with others.
To help fill the need for social distancing measures, this solution enables clients to detect crowds and measure crowd density in real-time, by detecting the crowd size and relative positions of the people recorded by the camera images. Additional features such as detecting the presence of masks can also be included at the request of the clients.
The main use of this solution is expected to be in places with high crowd density, such as commercial facilities including shopping malls, event venues, public facilities, as well as workspaces such as office buildings and factories.
Elix will contribute to the fight against the spread of COVID-19, utilizing its experience developing deep learning models that has been cultivated over the years.
Overview of AI Solution for Monitoring Crowd Density and Crowd Counting to Prevent the Spread of Coronavirus (COVID-19) Infection
Overview: An AI Solution that enables measuring the number of people in crowds and their proximity by analyzing images in real-time.
Price: Depends on requirements.
Start of service: Thursday, June 4, 2020
Major functions: Custom UI for displaying the measurement can can also be included at the request of the clients.
Demo video: https://www.youtube.com/watch?v=2fhdDAymTec
Comments from CEO, Shinya Yuki
It is believed to take some time, probably years until an effective vaccine for COVID-19 will be developed and will become accessible to people around the world. In the meantime, social distancing is probably the most effective way to suppress the number of infections. On the other hand, if the situations such as lockdowns or a state emergency declaration continue, the economic losses will become enormous. In order to prevent further economic losses, it is important to continue our economic activities while maintaining social distancing, which is why we developed this product and we hope it will make a contribution to overcome this situation.
About Elix, Inc.
As a research-oriented technology company specialized in deep learning, the company is focused on AI Drug Discovery / Materials Informatics and Computer Vision. Currently the company offers full assistance, from consulting, model-development and model-licensing to their clients.