SeerSight is a framework that can collect data from variety of devices and equipment using variety of different protocols such as OPC, Modbus, SECS/GEM, MQTT, custom API, etc. All these data is stored in a uniform database and then the visualization engine allows users to choose the type of chart and aggregation and library of predictive analytics and SPC models allow prediction of failures days or weeks before the downtime.
SeerSight comes with all required hardware and software, including smart sensors, Artificial Intelligence and Machine Learning based data analysis software and other required hardware.
SeerSight continuously monitors your equipment's health through smart sensors, detects anomalies through proprietary AI/ML based algorithms and notifies you when it predicts component health deterioration thereby preventing unexpected equipment failure.
Benefits Of SeerSight
Improve Yield, Product Quality & OEE
Reduce spare parts & equipment maintenance cost
Saves hundreds of thousands of $$ annually in unplanned downtime
Based on Artificial Intelligence & Machine Learning models
Based on analysis of vibration, acoustics, current, etc.
Plug-n-Play: No hardware or software changes to existing equipment
Features of Seer Sight
Easy to setup, Installation of ten takes minutes
Requires no hardware or software changes to your machines, sensors are attached to the body of your machine.
Both on premise and cloud options available
Summarized and detailed charts & graphs of equipment health
Case Study:
One customer reduced unplanned downtime by 160+ hours annually
Our customers have reported ROI of up to 220%
Predictive Maintenance for Vacuum Pumps, Motors, Furnaces, Ovens, and Rotary Devices: Advanced AI/ML Techniques for Predicting Failures
Optimize the reliability and performance of your vacuum pumps, motors, furnaces, ovens, and a wide range of rotary devices through predictive maintenance strategies. This comprehensive guide dives into cutting-edge technologies and methodologies that leverage AI/ML capabilities to extract and analyze data from various sensor inputs, including vibration, acoustics, temperature, and current. By harnessing the power of predictive analytics, this solution predicts potential component failures within a specified timeframe, empowering you to take proactive measures before critical issues arise. Learn how to implement a robust predictive maintenance program, minimize unplanned downtime, reduce maintenance costs, and ensure the longevity of your valuable equipment. Stay ahead of the curve and maximize operational efficiency with AI-driven predictive maintenance.