09 - Anti AFK Robot
Team Members:
Maxwell Ronan, Ravi Patel, Trevor Ng, Kush Patel
Background:
With the increasing prevalence of remote work in our society comes a new way for employers to overexert their authority on hard-working employees. From time to time during remote work, an employee may need to step away from their keyboard, also referred to as going AFK. However, in doing this, they make themselves vulnerable to being seen as inactive. Modern employers not only have ways of determining whether or not your mouse has been left stagnant but also whether or not an employee may be using an external device to fake activity, such as a mouse jiggler. They do this through the use of AI detection software that looks for “human-like movement” in terms of the path of the cursor. If this AI determines that the movement is too repeated or consistent, it will flag that employee as AFK.
Problem Statement:
We aimed to design a mechanism that utilizes a single input motor and complex linkages to create a pseudo-random motion of an output manipulator attached to a mouse that would prevent any detection software from identifying the user as AFK.
Final Build:
Final Video:
Table of Contents:
9.7 - Conclusions & Future Work