Case Studyedge aicomputer visiondrones
NaeonAIr Deploys Drone-Based Crowd Safety System
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Relevance Score
NaeonAIr introduces an AIoT-based drone system that analyzes crowd density, movement, and pressure in real time to detect and warn of dangerous crowd situations. Its architecture pairs lightweight drone payloads (ESP32-CAM, Raspberry Pi Pico), an NVIDIA Jetson Nano edge gateway managing up to 100 drones, a YOLO-based detector with flow and pressure analytics producing a 0–100 risk score, and oneM2M Mobius integration with a TypeScript 3D dashboard for real-time alerts and historical analysis.
