Amazon Monitron is an end-to-end system that utilizes machine learning to detect abnormal conditions in industrial machinery, enabling predictive maintenance and reducing unplanned downtime. It comprises wireless sensors that capture vibration and temperature data, gateways that securely transfer this data to AWS, and a service that analyzes the information to identify potential equipment failures. Users can monitor equipment health through a companion mobile application, facilitating timely maintenance interventions. Key Features and Functionality: - Wireless Sensors: Easily attachable sensors that collect vibration and temperature data from equipment. - Gateways: Devices that securely transmit sensor data to AWS for analysis. - Machine Learning Analysis: Automated detection of abnormal machine patterns using machine learning models. - Mobile Application: An intuitive app for setting up devices, monitoring equipment conditions, and receiving alerts. - Technician Feedback Integration: Capability to input feedback on alerts, allowing the system to learn and improve over time. Primary Value and User Benefits: Amazon Monitron addresses the challenge of unplanned equipment downtime by providing a predictive maintenance solution that is easy to deploy without the need for specialized training or development work. By continuously monitoring equipment health and detecting potential failures early, it helps organizations optimize asset reliability, reduce maintenance costs, and extend equipment lifespan. The system's simplicity and cost-effectiveness make predictive maintenance accessible to a wide range of industries, including manufacturing, automotive, and consumer packaged goods.