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An IOT cum Android based project to ensure the safety of car drivers by detecting drowsiness, detecting accident notifying all the nearby hospitals and gps tracking where owners can track their car even after being stolen through their app.

Python 16.11% HTML 2.34% Java 81.55%

humandrowsinessdetectionsystem's Introduction

HumanDrowsinessDetectionSystem

An IOT/ Android based project where we ensure the safety of car drivers,by detecting drowsiness, detecting accident notifying all the nearby hospitals and gps tracking where owners can track their car even after being stolen through their app. Using Raspberry PI3 and a normal PIcamera module (compatible with RPI), through python opencv we detect whether a driver is feeling sleepy or not by tracking his eyes. Using gps modem and gsm modem and accelerometer sensor we can detect whenever a car is involved in accident, For android app, we have included normal signup login page along with Firebase-auth sign-in page. Whenever accident is detected by our rpi3, it will notify our app through firebase and then our app will send messages with the gps locations to the hospitals.

Hardware Requirement:

– Raspberry pi 3
– Raspberry Pi Camera module
– Gps/Gprs module (PAM-7Q)
– Accelerometer sensor (GY-521)
– Node mcu

The Project contains following features:

• Detect Human Drowsiness by huamn behaviour captured by camera.
• Alert the driver incase of drowsiness to ensure safety.
• Keep track of the speed of car to aviod any accidents.
• Keep track of the car gps location.
• In case of any accident alert the neardy hospitals.

Link to Comapnion App demo: https://play.google.com/store/apps/details?id=com.droidverine.hdds.hdds

humandrowsinessdetectionsystem's People

Contributors

droidverine avatar rukhsarrkhan avatar surajanchan avatar shruti4497 avatar

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