AI/ML based Fault Detection & Classification (FDC) system with built in predictive analytics models
SeerSight is a FDC with AI/ML Based Predictive Analytics 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 continuously monitors your equipment's health and status. Upon detecting anomalies in your equipment, SeerSight predicts and quickly alerts your Equipment Engineers & Managers, days in advance, so that maintenance can be scheduled at your convenience, increasing manufacturing uptime. Prevents scraping of expensive materials and wastage of Components that do not require replacement yet.
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
Fixing something before it breaks is more efficient and cost-effective than fixing it after it breaks.
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%
Applications Of SeerSight
Vacuum Pumps
Cassette Loader
Fan and Blowers
Cabinet Exhausts
