Anomaly detection + Predictive Maintenance with audio analysis

Methodology: Assessment: Review the current method of detecting anomalies or malfunctions in equipment, focusing on areas where audio signals can provide early indicators. Data Collection: Install audio sensors to capture operational sounds from machinery. AI Model Development: Train AI models to recognize normal and abnormal sound patterns associated with machinery. Real-Time Analysis: Implement the audio analysis model to monitor sounds in real time and detect anomalies. Alert System: Set up an alert system to notify operators of detected anomalies. Model Refinement: Continuously improve the models based on feedback and evolving operational conditions.