Gear Tech
Manufacturing & Industrial IoT
An industrial asset monitoring platform that uses IoT to track machine health and predict maintenance needs.
(Research)
Studied the high cost of reactive maintenance in manufacturing, where unexpected machine failure can halt entire production lines for days.
(Experiment)
Deploying vibration and temperature sensors across critical machinery, fed into an AI model that identifies anomalies before failure occurs.
(Results)
A proactive maintenance ecosystem that increased overall equipment effectiveness (OEE) by 22% and extended machine life through timely servicing.
(Key Achievements)
Real-time sensor data visualization via an industrial dashboard.
Predictive failure alerts powered by machine learning.
Automated service ticket generation for maintenance teams.
Historical performance logs for long-term reliability analysis.
Gear Tech Engineering
Gear Tech Engineering
