An AI/ML-based Anomaly Detection System for Internet of Things Devices.
Focused on providing early warnings for solar power battery failures to prevent downtime and optimize maintenance.
View Software DemoDevelop an intelligent system to monitor vast arrays of IoT-connected solar batteries, identifying potential hardware issues before they escalate. Leverage nearly a terabyte of historical data to train robust detection models.
Detect subtle deviations in battery performance (voltage, current, capacity) indicative of potential faults like overcharging or rapid drainage.
Distinguish between failures originating from the battery itself, the charging system, or environmental factors to guide maintenance efforts effectively.