AI-Powered Diagnostics Solution
An AI-driven prototype for Zeiss aimed at automating diagnostics of measuring equipment. Through collecting and processing sensor data, this project proves the ability of AI in equipment monitoring. This was planned as a part of the Digital Transformation workshop for the leadership team.
noun /ˈbreɪk.θruː/
Solved for good
Equipment Diagnostics
AI-based algorithm processes sensor data for automated equipment diagnostics.
Time Reduction
Reduction in time associated with equipment monitoring and maintenance tasks.
Insightful Plots
Comprehensive plots are generated to present critical equipment insights, making the management process efficient.
Time-consuming manual labor
The Diagnostic Challenge
ZEISS, a prominent international technology enterprise, faced an important issue: the diagnostics of measuring equipment. This challenge involved significant time investment and high labor costs associated with monitoring the equipment, including the use of various sensors for maintenance purposes, such as temperature, humidity, and ultrasonic sensors. The question arose: could this process be automated?
top leaders energized
sensors installed on microscopes
Automating equipment diagnostics
The AI-driven Solution
In collaboration with Zeiss's senior leaders, we developed PoCs focused on gathering and processing sensor data to construct informative dashboards. Our AI-based algorithm leverages data from sensors connected to the equipment, enabling automatic diagnostics and substantially reducing both the time investment and high cost of human labor.
What can be solved?
Everything.
However here are a few common pain points that we often see, which can be solved through our programs and will lead to an AI breakthrough.
Get started with AI
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