Raspberry Pi Deploys Queue Monitor Application
A GitHub sample project demonstrates using a Raspberry Pi AI camera with NanoDet Plus 416×416 to monitor queues by counting people within user-defined polygonal areas. It integrates BYTETracker for identity tracking, real-time annotations, and JSON-configurable queue definitions, and includes example commands and a point-selection tool. Use cases include traffic, event, and retail queue analytics, enabling time-based occupancy and bottleneck insights.
Scoring Rationale
Practical, officially supported Raspberry Pi sample provides immediate deployment value; limited novelty beyond integrating established detection and tracking components.
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