Post by Ranganath H L

🚀 Project Showcase: AI-Based Abnormal Detection in Industrial Machinery Excited to share one of my embedded systems and IoT projects—an AI-Based Abnormal Detection System for Industrial Machinery. This project is designed to continuously monitor the health of industrial machines by collecting real-time data from temperature, vibration, and noise sensors using a Raspberry Pi. The collected sensor data is analyzed to identify abnormal operating conditions. Whenever an abnormality is detected, the system instantly sends an SMS alert through a GSM module, allowing timely maintenance and helping prevent unexpected machine failures. A 16×2 LCD displays live sensor readings, enabling operators to monitor machine parameters in real time. This project demonstrates the integration of embedded systems, IoT, sensor interfacing, and intelligent monitoring for industrial applications. 🔹 Key Features: - Real-time monitoring of machine health - AI-assisted abnormal condition detection - Temperature, vibration, and noise analysis - Instant SMS alerts using GSM module - Live sensor data display on 16×2 LCD - Raspberry Pi-based edge computing 🛠️ Technologies Used: - Raspberry Pi - Python - IoT - GSM Module - Temperature Sensor - Vibration Sensor - Noise Sensor - 16×2 LCD Display - Embedded Systems This project strengthened my understanding of embedded systems, IoT, sensor interfacing, Python programming, and industrial automation while providing practical experience in developing intelligent monitoring solutions. I welcome your feedback and suggestions! #RaspberryPi #IoT #EmbeddedSystems #Python #IndustrialAutomation #MachineConditionMonitoring #Electronics #Engineering #Innovation #ArtificialIntelligence