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Process Control & Instrumentation · Category Intelligence

Sensors

Devices that turn a physical quantity — presence, distance, motion, pressure, temperature, light — into an electrical signal the controller can read. The pick is driven by the measurand, range and accuracy, the environment, and the output/interface.

◆ Deep category · engineer-grade decision intelligence

Product types

Where engineers draw the lines within sensors.

Proximity (inductive / capacitive)
Non-contact detection of metal (inductive) or any material/level (capacitive). The shop workhorse for position and presence.
Photoelectric / Optical
Through-beam, retroreflective, and diffuse sensing over longer ranges; laser and ToF for precise distance.
Inertial / MEMS (accel, gyro, IMU)
MEMS accelerometers, gyroscopes, and multi-axis IMUs for motion, tilt, vibration, and orientation — the domain TDK InvenSense leads.
Pressure / Temperature / Environmental
Piezoresistive and capacitive pressure, RTD/thermocouple/IC temperature, humidity and gas sensing.
Ultrasonic / Vision
Ultrasonic for level and distance through dust/steam; vision/photonic sensors for presence, color, and inspection.

Specs that matter

The numbers to compare first — and which are hard deal-breakers.

Measurand & range
What you're sensing and over what span sets the whole technology choice.
Deal-breaker
Accuracy / resolution / noise
For MEMS: noise density and bias-instability; for process sensors: accuracy class — governs whether the reading is usable.
Deal-breaker
Output & interface (IO-Link, 4-20 mA, SPI/I2C)
Must match the controller and wiring scheme; IO-Link adds parameters and diagnostics.
Deal-breaker
Sensing distance / standoff
Range and the correction factor for the target material drive reliable detection.
Key
Response time / bandwidth / ODR
Fast events and vibration need adequate bandwidth or output-data-rate (MEMS).
Key
Environmental rating (IP, temperature, EMC)
Ingress, temperature drift, and immunity decide survival in the real install.
Key
Supply & power budget
Especially for battery/edge MEMS nodes — current and low-power modes matter.
Nice-to-know
Calibration / temperature compensation
Bias and span drift with temperature; on-chip compensation reduces field error.
Nice-to-know

How engineers decide

Rules of thumb behind the common trade-offs.

Inductive, capacitive, or photoelectric?
Inductive for detecting metal at short range (robust, cheap). Capacitive for level and non-metallic targets. Photoelectric when you need longer range or to detect almost anything — but watch ambient light and reflectivity.
IO-Link or analog/discrete?
IO-Link when you want per-sensor parameters, diagnostics, and easy replacement — it future-proofs the line. Analog 4-20 mA or discrete for simple, legacy, or cost-driven points.
How do I choose a MEMS IMU?
Work from the motion you must resolve: gyro bias-instability and noise density set drift; accelerometer range and ODR set the dynamics you capture. For dead-reckoning/orientation, low bias-instability matters more than headline range — TDK InvenSense parts publish these clearly.
Do I need sensor fusion?
For orientation/navigation, fuse accel + gyro (+ mag) — either on a fusion-capable IMU (DMP) or in the host. Raw single-axis data rarely gives stable heading on its own.
How do I stop false triggers?
Match the technology to the target, set the right standoff/hysteresis, shield from EMI and ambient light, and use IO-Link/diagnostics to catch marginal signals before they cause faults.
▼ From the field

What goes wrong — War Stories

Expensive failure modes engineers design around.

⚠ False triggering / missed detection
Cause: Wrong technology for the target, EMI, ambient light, marginal standoff
Design around it: Match sensor type to target, set correct distance/hysteresis, shield and route away from noise, verify with diagnostics.
⚠ Drift / bias error over temperature (MEMS)
Cause: Uncompensated bias and span shift with temperature
Design around it: Use temperature-compensated parts, calibrate, and apply run-time bias estimation/fusion.
⚠ Ingress / environmental failure
Cause: Under-rated IP or seal for washdown, dust, or steam
Design around it: Spec correct IP and materials, use ultrasonic where optics fog, protect cabling and connectors.
⚠ Aliasing / undersampled vibration
Cause: Output data rate below the signal bandwidth
Design around it: Set ODR and anti-alias filtering above the frequencies of interest for vibration/motion sensing.

Key builders

Manufacturer-direct sources we anchor specs to.

TDK InvenSense (MEMS accelerometers, gyroscopes & IMUs — motion, ToF, ultrasonic)Bosch SensortecSTMicroelectronicsKeyenceSICKOmronBalluffPepperl+FuchsBanner EngineeringHoneywell SensingTE Connectivity

Standards we hold specs to

IEC 60947-5-2Proximity switches — control-circuit devices
IO-Link (IEC 61131-9)Point-to-point sensor/actuator communication (SDCI)
IEC 60529 (IP)Ingress protection ratings for enclosures
IEC 61000-4EMC immunity test methods for sensors
▼ The intelligence layer

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