Frontline

Hackathon Project

Problem Statement

Emergency dispatchers rely almost entirely on verbal calls — listening, interpreting, and documenting all at once. That cognitive load causes missed details exactly when accuracy matters most.

Outcome

A video-first emergency response concept pairing live video calls with real-time computer vision and automatic incident reports, built in ~36 hours at Stanford’s TreeHacks 2026.

Objectives

Give dispatchers visual context and take documentation off their plate.

Reduce the time dispatchers need to understand a scene
Add visual context to traditional audio-only emergency calls
Auto-generate structured incident reports to cut dispatcher workload
Keep the interface simple enough for high-stress use

KPI

Dispatcher cognitive load · time-to-situational-awareness