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NAEEM HADIQ
Thrissur, Kerala
DRIVER-ANALYSIS-BLACKBOX
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
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
Collaborators