These summaries are generated from radio-call transcripts and then processed by a local AI model. Transcripts can mishear words, miss context, or combine fragments from fast-moving radio traffic, so inaccuracies are common.

An item shows up here when one talkgroup gets much busier than usual, enough transcript snippets sound like the same notable public-safety event, and the model can separate it from routine traffic. Ordinary medical transports, false alarms, status updates, unrelated busy periods, and administrative chatter are filtered out when the evidence does not point to one clear incident.