DRIVER MONITORING SYSTEM

DRIVER MONITORING SYSTEM

Create a Safer In-Cabin experience.

DRIVER MONITORING SYSTEM

DRIVER MONITORING SYSTEM

Create a Safer In-Cabin experience.

The problem DRIVER MONITORING SYSTEM solves

AI-based driver monitoring is a technology that uses computer vision and machine learning algorithms to analyze driver behavior and provide real-time feedback to improve safety on the road. The problem that AI-based driver monitoring can solve is the issue of driver distraction, which is a leading cause of accidents on the road.

By using AI-based driver monitoring, the system can detect when a driver is distracted, either by looking away from the road, using a mobile phone, or engaging in other non-driving activities. The system can then alert the driver to refocus on the road or take corrective action. Additionally, the system can detect signs of drowsiness or fatigue and alert the driver to take a break or pull over.

Overall, AI-based driver monitoring can help prevent accidents caused by distracted or fatigued drivers, making the roads safer for everyone. It can also provide valuable data for fleet managers to identify and address any safety issues among their drivers.

Challenges we ran into

Depoying A Machine Learning ai model on the webpage was our biggest challenge. Also The annotations for the model were quite large so it took high amount of time.

Tracks Applied (2)

Polar Pulse (Healthcare)

Our project fits into the track of Polar Pulse as we are checking and insuring the health and state of the driver using ...Read More

Acrtic Automata

Our project fits into the track of arctic automata as we are using machine learning and artificial intelligence to know ...Read More

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