[Vlog] How Embitel is Leveraging Machine Learning to Track Driver Behaviour and Anticipate Road Conditions

[Vlog] How Embitel is Leveraging Machine Learning to Track Driver Behaviour and Anticipate Road Conditions

An application that monitors the driving pattern of individuals can be put to many uses. It can monitor drivers in school vans, help insurance companies to pass/reject claims, and aid in fine-tuning of driving skills.

But what if the same app can also warn you about road conditions and idling time?

Wait, do such applications really exist?

Yes, they do! Thanks to a team of highly motivated engineers headed by our Chief Innovation Officer, one such application has been incubated in our innovation lab. After months of brainstorming, vehicle data collection and development of a robust Machine Learning model, our R&D team was able to create a user-friendly app.

This App monitors your rides and provides important analysis to all the stakeholders.

In this demo, our Chief Innovation Officer introduces this app along with its features and possible use cases.

Additionally, you can see the Driver Behavior Tracking app in action, both in a simulated environment and on the road (real-time demo).

What will you Learn from this Driver Behavior Tracking App Demo?

• Different features of the application
• Possible use cases of the app
• Demonstration of how the App works in a simulated environment
• Demonstration of the functionalities of the App on a road trip

Our R&D and Innovation team is burning the midnight oil to make this App even more futuristic and feature-rich.

Encourage us by liking the demo video and do share it with your peers. Curious for more such videos? Check out our YouTube channel and Subscribe to it.

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