Inspiration
Reconpi is a fully portable device that will take privacy and security to the next level. Perfect for adding an extra layer of security; Reconpi, will recognize your face and your voice and used it as an extra security feature to give the owner access to devices/programs that required the specialized device. This product is exceptionally made for the individual/company, who needs more than double factor authentication.
How it was made
We used Raspberry Pi as the main computer, a built-in camera, and a microphone. We were inspired by OpenCV free source facial recognition software (Python), and Google Cloud voice recognition free source software (Python). Our prototype is put together in a portable box (wood), in the future, we hope to make it waterproof, dust and heat resistant, while also keeping it light and portable.
Who can benefit: Security Services with highly classified information in their devices, thanks to Reconpi, the secrets of the country are secured. Companies that need to keep their information extra safe. Hopefully, no one can steal your idea for the next bitcoin. Anyone who thinks the government is watching them and needs an offline device to access their devices.
Benefits
This is an offline device, which only you will have access too while physically having it. You could add more than one database of faces, which can have different levels of user access to your protected programs; this adds an extra layer of security.
Challenges we faced
This was our first time working on a project with hardware. Our microphone was not working, which means that we were not able to test our open source software: we were unable to find another working microphone. Our camera needs to be upgraded, the pixel quality is low, which means that the facial recognition software runs into some issues, which are not visible while the program was being tested in a higher quality camera. Internet challenges: Harvard internet slowed us down a bit.
Future work
We need to keep improving our prototype, our facial recognition software needs to be improved since our first code is open source and runs into quality issues with our low-quality camera. We run out of time to add our database with faces. We will also need to work more on prototype apps that can unlock programs that support our device. Fixing the microphone to test our voice recognition code is also needed.
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