SmartBio-Air (Presentation) | MYOSA 4.0 @IEEE APSCON 2026

Описание: SmartBio-Air: AI-Powered Environmental & System Health Monitoring 🍃🌬️
Maintaining clean air and functional infrastructure is a growing challenge in urban and industrial environments. In this video, we explore SmartBio-Air, an intelligent monitoring system designed to track air quality while simultaneously ensuring the health of the hardware that powers it.
Developed using the Myosa sensor framework, SmartBio-Air features an advanced TinyML fault detection system for motor pumps—essential for ventilation or air filtration setups. By using on-device machine learning, the system can predict mechanical failures before they happen, ensuring continuous clean air flow. This project is a perfect demonstration of how TinyML and IoT can work together to create resilient, self-monitoring environmental solutions.
The Solution:
Real-Time Air Monitoring: Continuously tracks environmental parameters to ensure safety and comfort.
TinyML Motor Fault Detection: Uses on-device machine learning to identify abnormal vibration or sound patterns in motor pumps, preventing system downtime.
Predictive Maintenance: Provides data-driven insights to help maintenance teams act before a critical failure occurs.
Explore More:
🌐 Myosa Website: https://myosa-sensors.org/
📅 IEEE Apscon 2026: https://2026.ieee-apscon.org/
#SmartBioAir #TinyML #AirQuality #Myosa #IoT #PredictiveMaintenance #IEEE #Sustainability #Innovation #EmbeddedAI