Problem Statement

"If you file your waste-paper basket for fifty years, you have a public library."

— Tony Benn

An average of 300 million tons of paper is produced each year globally.Paper wastage is a very serious issue that most nations face today. Unfortunately, India ranks first in the list of countries where going paperless and waste paper disposal has become the need of the hour.

While we know that going completely paperless is neither a feasible option nor a logical one as there are areas to which paper is still the best medium for documentation, but digitizing everyday things like memos, notes during lectures, or something that you’d normally jot down in your notepads can be digitized easily. Even small measures can be helpful in cutting down the waste paper generated considerably.

A lot of paper is wasted just in noting down trivial things like phone numbers, memos, notes etc.

And not all of this paper is recycled. Therefore focussing on this problem becomes just as important as minimizing paper wastage and recycling used paper.

How is our prototype different from previously existing solutions?



21st October 2019

Started off by finding implementations using OpenCV. The various methods that are already available to implement what we wanted to do.

27th October 2019

Started looking for hardware to run the software. We initially thought about using Raspberry Pi, then later thought about using a webcam and ESP32-cam combo.

7th November 2019 — 17th November 2019

Worked on methods to make the finger tracking software better and the integration with hardware.

17th November 2019 onwards

Designing the glasses.

26th November 2019 — 28th November 2019

Worked on getting the recognition done and putting together all the pieces.


External link to our proposal: Percepio 2.0