This project demonstrates real-time object detection using Edge Impulse models and a Flask web interface. Designed for Arduino App Lab and used for the MWC Barcelona 2026 workshops.

Arduino UNO R4 WiFi ┌─────────────────┐ │ │ │ A0 ────────────┼──── Water Sensor Signal │ │ │ D8 ────[220Ω]──┼──── Red LED ──── GND │ │ │ D9 ────────────┼──── Active Buzzer (+) │ │ │ │ GND ...

The system is built upon four foundational pillars: Autonomous Safety: Utilizing MQ-series gas sensors and flame detectors to provide real-time protection against fire and gas leaks through automated ...

Abstract: This paper examines the effectiveness of a novel septic tank monitoring system utilizing Arduino and MQ-2 gas sensors. The primary objective is to enhance safety and improve maintenance ...

Abstract: Carbon monoxide (CO) is an inorganic molecule that is tasteless, colorless, and odorless, making it difficult for humans to detect and a highly toxic gas. It is produced during the ...

FL500 紫外红外火焰探测器能够检测火焰发出的位于紫外频段和红外频段的热辐射。紫外红外频段检测技术的结合，提供快速检测火焰的能力，以及出色的抗误报警能力。 智慧城市综合管廊气体浓度检测报警器面议 郑州市 河南驰诚电气股份有限公司 2026-02-26在线 ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.