The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.

A Python 3 and Keras 2 implementation of MSCNN for people counting.

This repository presents a method for people counting using a CNN trained with IR-UWB radar samples, in the COVID-19 and GDPR context. The purpose is the monitoring of the number of people inside a room, sending e-mail notifications every 10 minutes with the status of the room.

A real-time bidirectional people counting and foot-traffic analytics system powered by YOLOv11 and OpenCV. Features multi-object tracking (MOT), dual-polygon region-of-interest (ROI) logic for entry/exit detection, and automated video reporting. Perfect for retail analytics and smart occupancy monitoring.

people counting

Liblab, kütüphane doluluk oranı hakkında çalışmalar yapan IoT tabanlı bir görüntü işleme projesidir.

Multi-sensor RealSense + YOLO Top-View People Counting System, developed within the MEI (Museo Egizio Immersive) project. The solution enables real-time detection and counting of people in defined spatial areas, driving immersive scene logic, lighting systems, and audience analytics for interactive museum installations in Unreal Engine 5.

2018 云从人头技术冠军分享方案

People counting system using YOLOv8 detection, ByteTrack tracking and line-crossing logic.

Real-time people counting and crowd monitoring using YOLO11 | AI-powered bidirectional tracking | Perfect for schools, retail, exhibitions | Raspberry Pi ready

Real-time people counting & tracking system for pharmacies using YOLOv5/YOLOv8 + DeepSORT with heatmaps and GDPR-compliant privacy

Real-time head detection and tracking using YOLOv5 + DeepSORT/IoU.