The RADNET Alarm Triage System is a machine learning algorithm developed and operated by the Canada Border Services Agency (CBSA) to assess and prioritize radiation portal monitor alarms at border facilities. The system analyzes radiation emission data from cargo containers to identify abnormal radiation signatures and help CBSA officers determine which alarms require immediate attention.
This system affects border security operations by automating the initial assessment of radiation detection alerts, potentially improving response times and resource allocation at ports of entry. Government of Canada employees use this system to make radiation safety decisions. The system is currently in production and does not process personal information, focusing instead on radiation emissions data from monitoring equipment.
Key transparency information: This system uses historical radiation portal monitor data collected by CBSA Security & Engineering staff. Decisions made by this system help CBSA personnel prioritize which cargo containers require further inspection, making it an important tool for protecting Canada's borders.
