Ideaz

>>> Drunk driving is a major cause of road accidents and deaths around the world. To tackle this serious problem, we propose an AI-powered system that fits easily into vehicles. It is designed to detect and prevent impaired driving. The primary goal is to determine if a driver is intoxicated before the vehicle starts, thereby improving safety for both the driver and others on the road.

How It Works
1. Driver Monitoring Camera (AI Vision):
A camera mounted on the dashboard uses AI for facial recognition and behaviour analysis. It monitors facial features, eye movement, and body posture. Signs like droopy eyelids, slow blinking, lack of focus, and erratic head movements are analysed in real time by AI models trained to spot impairment.

2. Breath/Voice Detection System:
Along with visual monitoring, a discreet alcohol sensor is placed in the steering wheel or nearby. As the driver breathes normally, the sensor checks the alcohol content using advanced detection algorithms. Additionally, a voice AI system may ask the driver to repeat a phrase, looking for slurred or delayed speech as a warning sign.

3. Behavioural Biometrics:
The AI keeps track of how the driver interacts with the vehicle, spotting odd behaviours like erratic gas or brake use, delayed steering responses, and shaking hands—possible signs of intoxication.

4. Decision & Action:
- If impairment is detected, the AI prevents the vehicle from starting or puts it in a safe mode.
- A dashboard alert and voice warning are issued.
- The system can also notify an emergency contact or suggest a ride-sharing service.

Advantages:-
- Detects impairment before driving starts
- Non-intrusive and easy to use
- Real-time AI learning improves detection accuracy over time
- Reduces accidents and saves lives

 My Vision:-
This technology aims to create safer roads by using AI responsibly. By combining computer vision, voice recognition, and behavioural biometrics, vehicles can actively protect drivers and the wider community.

System Workflow
- Step 1: Detection – Facial recognition and breath sensors check the driver’s condition
- Step 2: Analysis – AI looks at behavioural and vocal signs of impairment
- Step 3: Prevention – Vehicle stays locked or gives strong warnings
- Step 4: Safety First – Emergency contacts are notified, or alternative transport is suggested