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ADAMS-Advanced Driving And Monitoring System

Smart And Adaptive Driving Monitoring System using facial landmarking,deep learning and sensor technology

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ADAMS-Advanced Driving And Monitoring System

Smart And Adaptive Driving Monitoring System using facial landmarking,deep learning and sensor technology

The problem ADAMS-Advanced Driving And Monitoring System solves

Inspiration

A large portion of Road Accidents (78.4%) are caused due to the
driver fatigue and inattention. This includes over speeding, driving
under the influence of alcohol or drugs, and hit and run cases.
Other causes of road accidents include such as the fault of
cyclists, pedestrians, or drivers of other vehicles. Fewer accidents
are caused due to neglect of civic bodies (2.8%), defects in motor
vehicles (2.3%).

What it does

1.Facial Recognition
2.Emotion Recognition
3.Drowsiness Detection
4.Head Movement
5.Object Detection
6.Blind Spot Detection

How we built it

So, to avoid this we have come up with the idea of ADAS.
Advanced Driver-Assistance Systems (ADAS) are electronic
systems that assist drivers in driving and parking functions.
Through a safe human-machine interface, ADAS increase car and
road safety.
Our Advanced Driver Assistance Systems usage is not limited to
cars it can be used in any vehicle be it cars, self-driving cars,
trucks, buses, etc.
Our ADAS has facial recognition, emotion recognition, drowsiness
detection, head position detection, object detection, blind spot
detection and even driving duration as metrics to avoid accidents.

Challenges we ran into

GUI issues and sending data to the cloud was a challenge.

Discussion