Arduino-Based Camera Face Tracker

Clients

Techstack

Purpose

Keeping a subject centered in frame by hand becomes impossible the moment they move, yet cameras that follow a person on their own underpin everything from filming to surveillance. The challenge was to prove that machine vision and physical motor control could work together to track a face and re-aim a camera in real time.

Description

We built a rig that finds a person's face in the live video feed, measures how far they have drifted from center, and drives a motor to swing the camera back until they are framed again. A desktop interface shows the tracked feed and device status, and the software ships as a ready-to-run application with adjustable connection settings. Closing the loop between what a camera sees and how it physically moves, fast enough to feel instant, is the kind of vision-and-hardware problem we like to solve.