Covid-19 Personal Cumulative Risk Index Tracker

Covid-19 Personal Cumulative Risk Index Tracker

Covid-19 Personal Cumulative Risk Index Tracker

As we know, one of the main transmission factors of covid-19 is the proximity to other people who may be infected by the virus and therefore, one of the objectives to improve prevention is to be in environments where there is a safe distance between people and control the flow of movements around you.

The covid-19 personal cumulative risk index tracker is a wireless device that is configured in promiscuous mode, thus acting as an electromagnetic spectrum analyzer at the frequencies used by wireless devices.

Actually, almost everyone wears a device with a wireless connection on them, and every device with this type of connection, even if it is not connected to any network or in use, regularly emits a series of beacon signals to identify itself in a unique way.

The covid-19 personal cumulative risk index tracker recognizes these signals and their intensity, density and variability, which allow us to know approximately the flow of people around you and based on that information, plus a real-time data of local infection cases, the device creates a reliable daily cumulative index of exposure risk, like the radiation dosimeters and show the information in a practical (smartband) or artistic (dynamic color badge) way.

The central point of the project is not the hardware itself, quite simple indeed, but the algorithm that calculates this index based on the electromagnetic frequency readings. The idea is not simply to detect the number of devices around you, but to analyze the variations of the signals intensity, and above all, analyze the flow of devices around you.

As we know, one of the main transmission factors of covid-19 is the proximity to other people who may be infected by the virus and therefore, one of the objectives to improve prevention is to be in environments where there is a safe distance between people and control the flow of movements around you.

The covid-19 personal cumulative risk index tracker is a wireless device that is configured in promiscuous mode, thus acting as an electromagnetic spectrum analyzer at the frequencies used by wireless devices.

Actually, almost everyone wears a device with a wireless connection on them, and every device with this type of connection, even if it is not connected to any network or in use, regularly emits a series of beacon signals to identify itself in a unique way.

The covid-19 personal cumulative risk index tracker recognizes these signals and their intensity, density and variability, which allow us to know approximately the flow of people around you and based on that information, plus a real-time data of local infection cases, the device creates a reliable daily cumulative index of exposure risk, like the radiation dosimeters and show the information in a practical (smartband) or artistic (dynamic color badge) way.

The central point of the project is not the hardware itself, quite simple indeed, but the algorithm that calculates this index based on the electromagnetic frequency readings. The idea is not simply to detect the number of devices around you, but to analyze the variations of the signals intensity, and above all, analyze the flow of devices around you.

Microcontroller with wireless capabilities
Custom smartband
Custom badge
Neopixel LEDs
Translucent materials
LiPo Battery

https://www.hackster.io/ferrithemaker/covid-19-personal-cumulative-risk-index-tracker-624019

https://ferranfabregas.me/

Computer scientist and programmer by profession, I started in the “maker” world 7 years ago, in which I have developed a cross-disciplinary knowledge in different disciplines of digital manufacturing, electronics, robotics, micro-controller programming and education, trying to turn my passion into a full-time job.

Within this time I have published the book “How to use Raspberry Pi 4 through 100 practical exercises“ from Marcombo publisher and I’m working on another book about electronics for Makers. I have also been responsible for the technical correction of the Spanish translation of some tech-related books of the O’Reilly and Willey publishers.

I have presented different personal projects at fairs in London, Avignon and Brussels MakersTown, also at some Maker Faires held in Spain (Madrid, León, Bilbao and Barcelona), Maker Faire European Edition Rome’19, and at the MIT MediaLab in Cambridge, Massachusetts, in addition to publishing articles in magazines such as MagPi and the book “The official Raspberry Pi projects book”. I also worked with Domestic Data Streamers on Beefeater BBK Live’17 / MadCool’17 booths interactive installations development and the “Sapiens. Comprender para crear” exhibition by Ferran Adrià.

In the field of education, I was an UNED teacher / mentor of computer science degree, I have participated also as a mentor in a wide range of workshops and courses such as the #finappsparty hackathon organized by the Obra Social La Caixa, summer ultra-camps for children or Girls In Lab workshops of the Pompeu Fabra University, among many others. As an organizer, I’m has been responsible for the organization of various local Raspberry Jams and a member of the producer’s team of the Barcelona Maker Faire ’16 and ’17 with a great success of participation and audience.

Since 2018, I’m working on the “Bits & Books” project along with Marcombo publishing house, combining this task with teaching tech-related subjects on curricular and after-school activities in public and private educative centers.

Ferran Fàbregas

Barcelona