Industrial Sensors
Understand signal conditioning, analog-to-digital conversion, and IoT edge processing for temperature, pressure, vibration, and torque sensors.
Pittsburgh, Pennsylvania
Master the intersection of precision instrumentation and intelligent automation through hands-on training in a working industrial laboratory.
See the WorkshopAt Copper Ridge, we do not teach theory in a vacuum. Our laboratory is a functioning inspection and measurement environment where students solve real-world problems using industrial-grade sensors, precision metrology equipment, and machine vision systems.
You will calibrate pressure transducers, tune laser triangulation systems, and train neural networks to detect surface defects on actual production components. The workshop floor is your classroom.
Explore the Instrument BenchFour core disciplines designed to make you proficient in modern intelligent instrumentation.
Understand signal conditioning, analog-to-digital conversion, and IoT edge processing for temperature, pressure, vibration, and torque sensors.
Learn optics, lighting geometry, and algorithmic inspection using modern vision systems paired with deep-learning defect classification.
Practice laser interferometry, coordinate measuring machine operation, and statistical process control for micron-level tolerances.
Build complete inspection cells integrating robotics, conveyors, and real-time AI decision-making for pass/fail and sorting logic.
Six practical projects that bridge mechanical measurement and machine intelligence.
Calibrate piezoelectric accelerometers and use FFT analysis to predict bearing failure before it happens.
Identify resistive heating and connection faults using AI-assisted radiometric analysis on thermal arrays.
Measure complex geometries in real-time by analyzing structured light patterns on manufactured surfaces.
Train convolutional networks to classify scratches, porosity, and inclusion defects from high-resolution optical feeds.
Calibrate strain-gauge transducers against dead-weight testers and map hysteresis curves with automated dead-band detection.
Fuse temperature, pressure, and flow telemetry into a unified process model using Kalman filtering and edge inferencing.
Ready to work with real instrumentation? Apply for our next cohort. We accept rolling applications for quarterly starts.
Copper Ridge Instrumentation School
1001 Liberty Ave
Pittsburgh, PA 15222, USA