Drowsiness Detector

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Drowsiness Detector Sleeping on the job? Special thanks to: Ron Scrofano Additional thanks to: Chandra Krintz Tevfik Bultan Steve Bako Firebase Python GitHub Trello Android Studio OpenCV Solution Drowsiness Detector is: A desktop program that uses facial recognition to alert drowsy employees An Android app that enables managers to view workers’ profiles Problem For satellite launches, it is critical that employees are focused when monitoring data 70% of tech employees sleep on the job Architecture Mobile App Firebase detections user calibrations user profiles Log in or register a new account. Run facial calibration to assign detection thresholds. Program will alert if the user shows signs of drowsiness: -Eyes closed -Yawning Manager can view each employee’s drowsiness profile on the mobile app. Technologies Employed Detector Compares eye and mouth aspect ratios to user-specific calibrations to determine drowsiness Team Lead - Danielle Robinson Victoria Sneddon Brandon Tran Andrew Polk David Sun OpenCV used for real-time facial recognition Manager uses app to monitor drowsy employees

Transcript of Drowsiness Detector

Page 1: Drowsiness Detector

Drowsiness DetectorSleeping on the job?Special thanks to:

Ron Scrofano

Additional thanks to:Chandra Krintz

Tevfik BultanSteve Bako

Firebase Python GitHub TrelloAndroid Studio

OpenCV

Solution Drowsiness Detector is: ● A desktop program that uses

facial recognition to alert drowsy employees

● An Android app that enables managers to view workers’ profiles

Problem ● For satellite launches, it is critical that employees are focused when monitoring data

● 70% of tech employees sleep on the job

ArchitectureMobile

App

Firebasedetections

user calibrations

user profiles

Log in orregister a new account. Run facial calibration to

assign detection thresholds.

Program will alert if the user shows signs

of drowsiness:-Eyes closed

-Yawning

Manager can view each employee’s

drowsiness profile on the mobile app.

Technologies Employed

Detector

Compares eye and mouth aspect ratios

to user-specific calibrations to

determine drowsiness

Team Lead - Danielle RobinsonVictoria Sneddon

Brandon Tran Andrew Polk

David Sun

● OpenCV used for real-time facial recognition

● Manager uses app to monitor drowsy employees