At Steneg, we take technology and what it represents very seriously. We understand that industrial quality and inspection are fundamental in sectors requiring precision, reliability, and continuous monitoring. From vision systems and advanced sensing to high-precision instrumentation, these technologies drive innovation in automotive, healthcare, defense, and advanced manufacturing.
To keep moving forward, companies need professionals with exceptional technical expertise and the ability to evolve in multidisciplinary environments. At our firm, we connect companies with experts in metrology, quality control, and intelligent inspection, ensuring that each selected profile makes a real impact in the industry.
These systems enable real-time inspections directly on the production line. They combine industrial cameras with structured lighting, 3D sensors, and image processing algorithms, often powered by deep neural networks.
Main technologies:
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2D and 3D vision with high-resolution cameras, line scanners, or stereo sensors
Requires specific expertise in: advanced optical configuration (telecentric, narrow band filters), extrinsic/intrinsic calibration, distortion compensation, and precise lighting management under industrial conditions. These skills are essential to ensure reliable results in highly variable production environments.
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Deep Learning for surface defect classification and semantic segmentation
Demands strong technical skills in: CNN/UNet/SegNet architectures, training on imbalanced datasets, and techniques like transfer learning and synthetic augmentation. These capabilities are critical to achieving robust models in environments with diverse defect types and limited labeled data.
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Multispectral analysis
Advanced application requiring: integration of multispectral sensors, spectral cross-calibration, and multivariate analysis (PCA, PLS-DA) for contaminant detection and chemical change monitoring. This type of analysis detects properties invisible in the visible spectrum, crucial in sectors like food or pharmaceuticals.
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Edge computing for low-latency local processing
Involves rare skills in: development on Jetson, AGX Orin, CUDA usage, and accelerated pipelines. Integration with industrial systems through deterministic protocols (EtherCAT, TSN). This approach enables millisecond-level decision-making, essential in high-speed processes.
Key applications:
- Weld inspection
- Label verification
- Particle detection
- Continuous production tolerance measurement
Optical metrology enables non-contact measurements with submicron precision, even in demanding industrial environments. From 3D geometry to optical and surface properties, these technologies offer reliable dimensional control directly on the production line.
Main technologies:
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White light and laser interferometry
Requires technical expertise in: phase analysis (PSI, WLI), optical aberration compensation, and thermal/vibration stability management to achieve nanometric precision. Essential for inspecting optical surfaces or high-precision components.
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Laser triangulation and ToF cameras for 3D profiling
Technical application requiring: dynamic calibration, error compensation due to incidence angle, and signal analysis to reduce noise from variable reflectance. Key to ensuring stability on reflective or irregular surfaces.
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Structured light scanning (fringe projection)
Specialized use involving: phase recovery via Fourier transforms, 3D modeling using advanced ICP, and multi-view alignment for inline inspection. Enables precise 3D models without contact on complex parts.
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Industrial photogrammetry
Requires specific expertise in: using GOM Inspect, Metrolog X4, and multisensor data fusion. Also requires knowledge of ISO/VDI standards for precision validation. Essential for inspecting large parts or on-site validation.
Key applications:
- Geometry control of metal and plastic components
- Thickness measurement of films or glass
- Optical alignment of parts in automated manufacturing
NDT techniques allow for evaluating the structural integrity of materials and components without damaging them. With industrial digitalization, they are combined with image analysis and machine learning to deliver automatic diagnostics and reliable predictive models.
Main technologies:
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Contact and phased array ultrasound
Requires advanced skills in: Full Matrix Capture (FMC), Total Focusing Method (TFM), and FEM modeling of acoustic propagation in anisotropic materials. Critical in aerospace and energy for early internal defect detection.
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Eddy currents
Requires precise technical knowledge in: coil design, electromagnetic simulation, and frequency-domain multichannel analysis. Essential for fast inspections in conductive materials without physical contact.
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Active thermography
Application demanding: dynamic thermal interpretation, thermal map analysis, and correlation with surface and subsurface defects. Vital for detecting delamination or cracks in composites or electronics.
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Industrial CT with flat-panel detectors
Requires advanced technical skills in: exposure setup, volumetric reconstruction (SART, FDK), CAD-to-CT analysis, and automatic segmentation. Enables internal inspection with unprecedented resolution.
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AI for NDT analysis
Requires expertise in: deep networks for internal defect detection and classification, supervised training with complex NDT images. Critical in sectors with large data volumes like railways or automotive.
Key applications:
- Structural analysis in aerospace
- Weld inspection
- Internal corrosion detection
- Composite material verification
The integration of optical and electronic sensors in embedded systems enables the development of intelligent devices capable of real-time monitoring of key process or product parameters, even in demanding industrial environments.
Key technologies:
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Spectral and hyperspectral sensors
Specialized technology requiring: diffractive optical configuration, spectral calibration, multivariate analysis (ICA, PCA), and feature extraction for material classification. Key for non-contact quality control in pharma or advanced recycling sectors.
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FPGA and SoC (System-on-Chip)
Requires high-level expertise in: VHDL/Verilog programming, Zynq UltraScale+ usage, optimization of vision pipelines with embedded logic, and advanced DMA management. Critical in applications where speed and energy efficiency are essential.
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Industrial CMOS and CCD sensors
Requires technical experience in: real-time acquisition, image buffer design, external trigger synchronization, and dynamic exposure control. Enables accurate captures in complex and time-critical environments.
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Industrial interfaces (EtherCAT, CAN, OPC-UA)
Critical technology requiring: integration of sensors and actuators in deterministic networks, node configuration, and cyclic synchronization. Essential for robust and reliable control in interconnected production lines.
Key applications:
- Autonomous vision in machinery
- Contaminant detection
- Embedded sensors in collaborative robots
- Parameter measurement in harsh environments
Our vision is strengthened by active participation in major international events, where innovations are presented, real-world use cases are exchanged, and the industrial inspection and quality ecosystem is reinforced.
Key events:
- Control Stuttgart (Germany) – QA technologies, metrology, and machine vision
- Automate (Chicago) – AI, automation, and applied robotics
- The Vision Show (Boston) – Latest solutions in computer vision
- Quality Expo (New York) – Metrology and industrial testing
- Mindtech (Vigo) – Metal industry and advanced technologies
- BIEMH (Bilbao) – Automation and control in manufacturing
- EMAF (Porto) – Industry and quality control in Southern Europe