DRIVER-ANALYSIS-BLACKBOX

FADHIL FAISAL

FADHIL FAISAL

Kozhikode, Kerala

A smart and innovative method to analyse a driver's behaviour on the road based on real data acquired from the vehicle and camera input based on Facial feature mapping and OBD data models. ...learn more

Project status: Under Development

Mobile, Robotics, RealSense™, HPC, Artificial Intelligence, Graphics and Media

Intel Technologies
OpenVINO, AI DevCloud / Xeon, Intel Opt ML/DL Framework, Intel CPU

Code Samples [1]

Overview / Usage

It acts as a behavioural analysis/accident prevention/accident notification system based upon the models trained using OBD and User Behavioural analysis from camera input.

Methodology / Approach

The model focuses on acquiring OBD data from car using ELM modules and then processing it alongside camera inputs monitoring the driver behaviour and tagging the driver behaviour on a 1-10 scale. It alerts the user when the situations are risky and incase of accidents keep log of the last alerts video recordings and the data from inputs and alerts the emergency contacts with location of accident.

Technologies Used

Realsense Cam, Openvino, Tensorflow, Devcloud

Repository

https://github.com/fadhilfaisal/OBD_BEHAVIOUR_CAR

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