Road Safety App
- 0 Collaborators
The App improves Road safety using Vision analytics and Vehicle driver condition monitoring. This project is in a concept phase, in discussions with an university professor and hence plan to demo the solution on Intel platform in the coming quarter of 2018. ...learn more
Project status: Concept
RealSense™, Internet of Things, Artificial Intelligence
Intel Technologies
OpenVINO,
Intel Opt ML/DL Framework
Overview / Usage
The project will augment the existing capability of drivers which are all currently based on an external reference(eg. an overtaking car, steep curve uphill a mountain), by combining with an internal reference. In our scenario, we want to consider the health condition of the driver to potentially alert the driver and a near-by hospital.
Methodology / Approach
Currently, the project is in a conceptual mode.
We have initiated discussions with Automotive companies in Canada with the help of a professor from Carleton University. Upon buy-in and sign-off, the plan is to prototype and test using the Intel Cloud Platform Toolkit for App Developers like OpenVINO.
In the regard, we will capture frames of reference both from the external world and of the driver to do a 360 degree analytics.
Technologies Used
ToolKit - OpenVINO.
Frameworks - Caffe, TensorFlow
Libs and Technologies - Python, Analytics, Optimized Machine Learning distributions that can run on the EDGE devices like the Cameras onboard the automobiles.