YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26.
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Oct 8, 2026 - Python
YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26.
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.
the large-scale data set for people counting (LOI counting)
A Python 3 and Keras 2 implementation of MSCNN for people counting.
Jetson Nano edge AI vision Agent Harness: real-time video analytics, MCP tools, event evidence, DeepSeek online/offline, secure recovery
Real-time vision intelligence engine for Apple Silicon. YOLO counting + VLM scene understanding + auto-calibration. REST API in one command.
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.
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.
Application on Door counter using the mmWave FMCW IWR1642
The OpenCV project is dedicated to tracking and counting people present in both images and videos. With two distinct folders, this project performs people tracking and counting and also includes the ability to predict the distance from the camera and determine their direction.
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.
Tensorflow implementation of a lightweight people counting CNN
Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.
People counting system using YOLOv8 detection, ByteTrack tracking and line-crossing logic.
Detect and count people crossing a line in video streams with YOLOv8, ByteTrack, and OpenCV for accurate entry tracking
Crowd Counting: A view around state-of-the-art
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