Autonomous WAiting Room Evaluation (AWARE)
Description
Using an existing security camera and YOLO Machine Learning model to detect and count number of people waiting for service at Langley's Badge & Pass Office. When a predetermined threshold of people is exceeded, automated texts and emails are sent to request additional help at the service counters.
Detailed example
Detection, classification and enumaration of people in BPO waiting area
AI / analytics pattern
Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Spreads load on LaRC Badge & Pass Office (via website telling employees how busy) and adds BPO support by texting staff when waiting room conut threshold exceeded.
Audit / financial statement impact
This AI processes images of people waiting in the Langley Badge & Pass office. The people are counted and their images immediately deleted to avoid privacy issues.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Open-source Common Objects in Context (COCO) dataset