Isabella: The first Space Optimization Machine Intelligence System of its kind — help fight the COVID-19 pandemic

Isabella, is a machine intelligence program that is designed to maximize hospitalization facilities’ capacity to host more COVID-19 patients while ensuring social distancing. Users can use the Isabella mobile or website to upload a photo of the room, and the program will output space allocation recommendations based on the photo input. It is the first and only space optimization machine intelligence program that solely works dependent on cameras. http://visionowl.ai

This article deserves your special attention!
In a previous (now deleted) article on this website, a company (whose name shall not be repeated here) claimed to have developed this technology. Well, that’s a lie, because there is a team of dedicated students from different countries behind it – their great work in fighting the global crisis should be duly appreciated!
Thanks Tracy for contacting me. I wish your team only the best!
Chris, mc.ai

Isabella uses machine intelligence to analyze the physical room based on the photo to generate space allocation recommendations. The program also allows users to specify details and special requirements so the recommendations are more suitable.The space capacity is able to be increased almost 2 – 3 times in the following case when it is used to reorganize existing ER departments. It can minimize the contact between COVID-19 patients and other patients to decrease the spreading rate of coronavirus in hospitals by maximizing the room and floor capacities of hosting more patients.

Isabella: The first Space Optimization Machine Intelligence System of its kind — help fight the COVID-19 pandemic
Note: Red squares are bed yellow square are ventilators

COVID-19 has exposed shortages of beds, ventilators and other medical equipments needed to combat this pandemic as shown in the US, Italy and Spain, leading to the construction of makeshift hospitals in Europe, North America, Asia and South America.

Isabella is very helpful when constructing makeshift hospitals, it is able to convert an empty space into a temporary hospital in the most space efficient way.

The original video demo is from https://www.youtube.com/watch?v=qY7W6mZECnY, we used Isabella real-time and the outcome matches the pattern of the beds set up in the video. The video is taken when Temple University setting up their field hospital.

We are hoping to expand our technologies to help the efforts made by the US Army against this pandemic, as well as other organizations who are constructing makeshift hospitals around the world. Using Isabella in healthcare facilities, primarily temporary hospitals, could save critical space, time and money during this unprecedented time.

Note: Red squares are bed yellow square are ventilators

Isabella can also be implemented in other fields since the algorithm is very adaptive, especially when businesses reopen, it can be used in malls, schools, factories, offices and other public spaces to ensure social distancing between individuals while maximizing space efficiency. 

The Isabella team consists of a group of students, developers and engineers from 5 different countries in the world. The team is led by University of Toronto first year Engineering Science student Tracy Qian (tracyqian0720@gmail.com or www.linkedin.com/in/tracyqian0720).Team Isabella is now devoting all of their time on developing and finalizing the algorithm of Isabella and an Isabella app will be set up and the program can be accessed through the official website http://visionowl.ai and the mobile app soon. Isabella was also a winning entry in the COVID-19 challenge hosted by Massachusetts Institute of Technology in early April. After the hackathon, Team Isabella has expanded their team which accelerated the developing process of the program and is able to deploy the program to healthcare and other industries very soon.

If you are interested in exploring or utilizing Isabella please connect with Tracy at tracyqian0720@gmail.com or www.linkedin.com/in/tracyqian0720 .