Inspiration

We are in a war, in a war against the COVI19 pandemic. We don’t know how long is going to be. The number of COVI-19 cases that need to be hospitalized has already testified we do not have enough resources to guarantee for the hospitalization of patients with mild and severe symptoms. We don’t know how long this war is going to be. Hospitalization facilities need to find a way to utilize the limited resources in the most efficient way. This is exactly what inspired us in to make Isabella : think of what we already have and organize it in the most efficient way.

What it does

Isabella uses Machine Intelligence to give better space allocation recommendations to its users. So, Isabella uses Machine Intelligence to give better space allocation recommendations to its users. It is thought to improve hospital’s capacity area (E.R, ICU division) and to convert space not earmarked for medical use into hospital facilities, by optimizing the allocation of medical equipment – ventilators, beds, etc. The app works in a fast and automated way. Users will just simply upload the photos taken from different angles and Isabella will do the rest. Firstly, Isabella performs Image Segmentation to recognizes the objects of the room. Secondly, it performs Depth perception to convert the dimensions of the room to the real world dimension. Now, Isabella finds the dimensions of the medical equipment users need in its database. Thirdly, Isabella maximizes the amount of medical equipment the room can take and performs Spatial Polynomial Transformation to define the equipment in the physical room. In this way, the app gives recommendation of the most efficient way of reorganizing medical equipment in a limited space, ensuring that patients are far from one another with respect to regular hospital rules and standards.

How we built it

Isabella consists of an app and a website. The app is built using Swift, whereas the website is built using WordPress / PHP. For AI model we have used PyTorch and Tensor-flow and for image processing Opencv.

Challenges we ran into

The biggest challenge was to create the idea itself, since anyone before have even thought of such a similar product. We are very proud of ensuring this service by just using a simple smartphone camera, without any kind of sensor combined. This aspect was the hugest challenge and at the same time the hugest satisfaction we achieved.

Accomplishments that we're proud of

During an emergency, people need to make hard decisions in a limited time and under pressure. Isabella helps make these decisions in the shortest time possible and in the most efficient way possible. Another strength of this product is that Isabella is a simple app: anyone will be able to have access to this service easily. Users just need to have a smartphone with a camera or, for people who don't have it, they can directly use the website and upload there photos. This aspect promotes the multi-disciplinary collaboration on sophisticated products and systems; in fact, Isabella helps in reducing the gap between doctors and engineers/architects in this kind of delicate decisions, where the exchange of views is essential.

What's next for Isabella

Isabella is a software with enormous potential. It can be even more useful also after the crisis. For this reason, we are planning on expanding our program to other fields which will benefit from better space allocations and we are motivated to develop more features and modules to accommodate different needs. In the near future, we want to pipeline collaborations with architectural and interior designer firms, to spread the use of the software for both the reorganization of hospitals themselves - and beat the daily problems related with the not optimal organization of ER - and public spaces, such as malls, office, supermarkets etc.

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