A drowsiness detection app that jolts back.

EyeJolt turns the front camera into a private, live alertness sensor. It watches for sustained eye closure, then uses randomized alarms to interrupt accidental dozing during study, desk work, night shifts, and other stationary sessions.

More than an alarm clock

A normal alarm fires at a scheduled time. EyeJolt responds to a live signal: your eyes beginning to remain closed. The alert library changes sounds so repeated use is harder to tune out.

Designed around privacy

Face signals are processed locally. Camera frames are not recorded, stored, or uploaded. Your user-recorded alarms also remain on your device unless you choose to export them.

What it can and cannot detect

EyeJolt can respond to camera-visible eye closure and head-position signals. It cannot see every attention lapse, cannot clinically identify microsleep, and may be affected by camera angle, lighting, eyewear, or an obscured face.

Available platforms

EyeJolt is built for iOS, Android, and macOS. Windows support is in active development and requires final hardware validation before release.

Written by the EyeJolt Editorial Team. Published and last reviewed 2026-07-14. Editorial policy.