Eddy Current Based Position Sensor - ODM Factory Solutions

We provide an Eddy Current Based Position Sensor that delivers reliable non-contact position measurement for demanding industrial environments. We tailor solutions for ODM partnerships and Factory integration, helping you scale production and reduce calibration downtime. With robust resistance to dust and oil, this sensor uses eddy current principles to provide fast, high-accuracy linear or rotary position data without wearing parts. Our design supports compact form factors and customizable signal options to fit your control system. We offer flexible ODM customization, including housing, cable length, connector types, and firmware adjustments, so your product line can be differentiated on the factory floor. Installation is straightforward, with plug-and-play integration into CNC machines, robotics, and automated conveyors. We emphasize quality, traceability, and support from early prototyping to mass production, ensuring on-time delivery to your Factory line. If you need reliable, scalable sensing, I’m here to help.

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Eddy Current Based Position Sensor Delivers Unmatched Quality Exceeds Industry Benchmarks

Eddy current based position sensing delivers non-contact, high-precision measurement that thrives in harsh industrial environments. By detecting magnetic field changes rather than relying on optics or mechanical contact, these sensors offer wear-free operation, excellent resistance to dust, oil, and moisture, and stable performance across wide temperatures. The result is reliable position data for automation, robotics, CNCs, packaging lines, and aerospace components, enabling tighter tolerances and smoother control. For global buyers, the appeal is consistent quality, scalable production, and straightforward integration. These sensors deliver repeatable measurements across large runs, with rugged housings and anti-vibration designs that endure factory floors. They support flexible interfaces and compact form factors, enabling easy retrofit or new-system deployment while maintaining long service life and predictable maintenance costs. In short, this technology reduces downtime, improves control fidelity, and speeds ROI in precision manufacturing and automation.

{ Eddy Current Based Position Sensor Delivers Unmatched Quality Exceeds Industry Benchmarks}

Sensor ID Range (mm) Resolution (μm) Accuracy (μm) Repeatability (μm) Response Time (ms) Temp. Range (°C) Output Type Calibration Application
ECPS-01 0-25 5 ±8 ±3 0.8 -20 to 85 0-10 V ISO/IEC 17025 traceable CNC linear axis metrology
ECPS-02 0-50 2 ±6 ±2 0.5 -20 to 90 0-10 V ISO/IEC 17025 traceable Long-travel gantry alignment
ECPS-03 0-15 1 ±4 ±1.5 0.3 -30 to 85 4-20 mA NIST-traceable Automotive assembly fixtures
ECPS-04 0-100 5 ±12 ±4 1.2 -25 to 85 0-5 V ISO/IEC 17025 Large-scale machine tool integration
ECPS-05 0-80 2 ±7 ±3 0.9 -15 to 75 4-20 mA NIST Injection molding line control
ECPS-06 0-25 1 ±3 ±1 0.25 -40 to 85 0-10 V ISO/IEC 17025 Semiconductor wafer stage
ECPS-07 0-30 1 ±5 ±2 0.6 -20 to 85 0-10 V ISO/IEC 17025 Lab automation and robotics
ECPS-08 0-60 3 ±9 ±3 0.7 -10 to 95 4-20 mA NIST Packaging line inspection

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Eddy Current Based Position Sensor in 2025 Factory-Direct Excellence

Data Dimension: Temporal Drift and Positioning Precision Over Time

2 4 6 8 10 12 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Calibration Drift (μm) Positioning Noise (μm)

Explanation: This chart shows data from a 2025 deployment of an Eddy Current Position Sensor in a factory setting. The blue line represents Calibration Drift (μm) and the orange line represents Positioning Noise (μm) across 12 months labeled Jan through Dec. The chart uses a 3:1 aspect ratio to support quick temporal comparison on the shop floor. The y-axis scale runs from 0 to 12 μm, capturing the typical precision range of the sensor in this production environment. The blue drift line remains within a narrow band (roughly 2–6 μm), with small excursions during transitional periods, indicating strong baseline stability and a drift influenced primarily by thermal fluctuations and calibration routines rather than random hardware failure. The orange noise line sits at a higher magnitude (about 5–11 μm) and shows a gentle mid-year uptick, likely tied to increased production activity, fixture wear, or ambient vibrations affecting instantaneous measurements. A subtle convergence toward year-end suggests maintenance cycles or recalibration yielding more stable conditions. Together, these two metrics demonstrate the advantages of monitoring both drift and noise to drive targeted improvements, such as improving temperature control, enhancing vibration isolation, and refining fixture tightness. This dual-midelity visualization supports data-driven decisions for maintenance scheduling and calibration strategies, enabling consistent sensor performance across shifts and lines. The 2025 dataset provides a baseline for future experiments and informs a roadmap toward higher precision in direct-to-floor deployments, reinforcing an ethos of continuous improvement in factory operations.

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