NaeonAIr Deploys Drone-Based Crowd Safety System
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.
Key Points
- 1Implements drone fleet with Jetson Nano gateway processing up to 100 devices.
- 2Analyzes flow and pressure using YOLO and flow metrics to compute 0–100 risk scores.
- 3Enables real-time alerts via oneM2M Mobius and 3D dashboard for faster emergency response.
Scoring Rationale
Practical, detailed prototype with deployable architecture and actionable components, but limited novelty and single-source validation.
Sources
Public references used for this report.
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