*5.1.1.3 Results*

The Dual Vision's team developed its own recognition algorithms for people counting and for identifying mask use and physical distancing. To do this, they took

#### *Science-Based Technological Transfer as a Key Tool in Public Health DOI: http://dx.doi.org/10.5772/intechopen.98704*

images from the existing cameras in the healthcare facility and began to train the artificial intelligence system in real conditions. Once the recognition algorithms were developed, system assembly optimizations were made to obtain a packaged product at a lower cost. In parallel, the team worked on the development of an intuitive visualization platform to present the information in real time. In terms of visualization, it was decided to sectorize the metrics to aid decision making, and to include an option to access to historical record.

To implement the solution at INGER, additional cameras were required for installing in strategic spots to check areas of interest. Once the cameras were calibrated, the analytical phase began. To verify the correct functioning of the system, stress tests were performed. The piloting process began with a white run to show the hospital management area the system operating under real conditions. After this experience, the hospital staff provided feedback and requirements, which resulted in improvements to the service. It is expected that the hospital will acquire the technology.

In commercial aspects, the startup team proposed a Software As A Service (SaaS) business model with a one-year contract monthly charged, amortizing the software components and product development,

It should be noted that INGER has expressed interest in continuing to expand the range of analytics beyond the needs of the pandemic. The hospital objective is to obtain relevant information to improve the quality of patient care.

Dual Vision currently has business in the retail area as well. Know Hub Chile team is supporting them to achieve the venture consolidation in a short term.
