Real-time fall detection & human activity recognition using YOLO26-Pose — INT8 OpenVINO/TensorRT deployment with geometry-invariant fall rules for corner-mounted CCTV.
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Updated
Sep 2, 2026 - Python
Real-time fall detection & human activity recognition using YOLO26-Pose — INT8 OpenVINO/TensorRT deployment with geometry-invariant fall rules for corner-mounted CCTV.
This project focuses on identifying and removing suspicious or unnecessary browser extensions. It explores extension permissions, privacy risks, unwanted advertisements, redirects, and potential exposure of browsing data. The task provides practical experience in browser security, privacy protection, threat identification, and safe extension manage
Analysis of banking transactions using PySpark to detect suspicious high-value activity.
Professional email template for notifying users about potential security issues within the technology sector.... | View more at LaravelMail.com
To associate your repository with the suspicious-activity topic, visit your repo's landing page and select "manage topics."