AI Dashcam for Fleet Safety

Objective: Enhance fleet safety by implementing AI dashcams that detect distracted driving and hazards in real-time, ensuring driver attentiveness and reducing accident risks.

Key Features:

Real-Time Alerts: Dashcams provide audible alerts to drivers about potential dangers, enabling immediate corrective actions.

Cloud Analysis: Recorded footage is uploaded to the cloud for AI classification, allowing fleet managers to review incidents and provide coaching based on categorized behaviors.

Automated Progress Saving: User sessions automatically save progress, minimizing disruptions caused by crashes or system failures.

Current Challenges:

Distracted Driving: Contributed to 3,522 fatalities in 2024; 12% of road accidents involve cell phone use.

Inefficient Uploads: Large files previously took up to 48 hours to process, hindering workflow.

Visibility Issues: Users lacked clarity on submission statuses, leading to uncertainty and delays.

Impact Metrics:

Accident Reduction: Decreased distracted driving incidents by 30%.

Efficiency Improvement: Reduced macro upload times from 48 hours to just 4 hours.

User Satisfaction: 85% of users reported enhanced safety awareness and improved driving behaviors.