Project Description:
This project automates traffic incident reporting by integrating computer vision and large language models to process camera feeds. For system efficiency, YOLOv11 is deployed as an initial threshold filter that detects potential incidents and prevents unnecessary processing. Once an event is flagged, Google Gemini analyzes the crash data to assess the situation and automatically generates a detailed incident report. This report is then forwarded to a CHART officer who reviews the AI generated insights to make final operational decisions, effectively replacing manual identification tasks and streamlining the entire response workflow.
