Create innovative solutions with our state-of-the-art deep learning and vision knowledge. We specialize in developing custom, high-performance machine vision software integrated seamlessly with high-tech equipment and robotic control systems.
Combining technical know-how with machine learning
Nobleo is involved in developing machine learning solutions for high-tech systems and autonomous robotics. It is our ambition to apply machine learning by leveraging know-how of mathematics, physics, optics, electronics, and mechatronics to deliver innovative solutions for our customers.
Depending on the customer request, we can deliver an algorithm, a stand-alone application and/or a turnkey solution with integrated sensors and image processing. To co-develop machine learning algorithms efficiently we developed our own machine learning framework. The framework facilitates web-based data annotation, training & evaluation and deployment of machine learning networks on edge processing devices (see image).
To improve algorithm performance, we have developed a secure data storage solution to manage IP sensitive data. The data store is directly linked to the machine learning framework, providing easy access for data annotation and re-training of machine learning algorithms on data collected from devices “in-the-field”.
Key technical capabilities
Multi-Spectral Imaging
Measure spectral properties of objects in the spatial domain to determine material properties. For example, the properties of coated materials and/or pigments in the skin.
Machine Learning
In-house tools to manage datasets, annotate data, train network, evaluate the performance and deployment of trained networks to edge processing devices.
Object classification
Apply state of the art machine learning for the classification of objects into different categories to identify which objects are present in an image.
3D image processing
Processing of 3D information to perform geometrical measurements. This can be input for motion-based vision applications.
Sensor selection
Select the best-in-class sensor for a specific problem using our relations with sensor suppliers and our technical expertise on optics and sensing.
Vision based control
Use object tracking and 3D imaging to navigate (with a robot) to a location to perform some sort of action (cleaning, glueing, etc.).
Sensor fusion
Combine different sensor modalities.
Motion tracking
Use object detection algorithms to track moving objects in video streams.
Precision alignment
Use feature extraction algorithms to determine the position of parts in a machine. Typically, the functionality relates in-image coordinates to machine coordinates.
Object detection
Apply state of the art machine learning for the detection of objects in image data or video streams for presence detection, defect inspection.
Image segmentation
Apply state-of-the-art machine learning algorithms to segment areas in an image.
Multi-Spectral Imaging
Measure spectral properties of objects in the spatial domain to determine material properties. For example, the properties of coated materials and/or pigments in the skin.
Machine Learning
In-house tools to manage datasets, annotate data, train network, evaluate the performance and deployment of trained networks to edge processing devices.
Object classification
Apply state of the art machine learning for the classification of objects into different categories to identify which objects are present in an image.
3D image processing
Processing of 3D information to perform geometrical measurements. This can be input for motion-based vision applications.
Sensor selection
Select the best-in-class sensor for a specific problem using our relations with sensor suppliers and our technical expertise on optics and sensing.
Vision based control
Use object tracking and 3D imaging to navigate (with a robot) to a location to perform some sort of action (cleaning, glueing, etc.).
Sensor fusion
Combine different sensor modalities.
Motion tracking
Use object detection algorithms to track moving objects in video streams.
Precision alignment
Use feature extraction algorithms to determine the position of parts in a machine. Typically, the functionality relates in-image coordinates to machine coordinates.
Object detection
Apply state of the art machine learning for the detection of objects in image data or video streams for presence detection, defect inspection.
Image segmentation
Apply state-of-the-art machine learning algorithms to segment areas in an image.
Assets
NoblAI Framework
Our NoblAI framework is a powerful platform for managing large datasets next to annotating, training, validating and deploying machine vision algorithms tailored to your needs.
Industries we service with our image processing & machine learning expertise
- Industrial systems & automation | Photonic wafer inspection
- Industrial cleaning | Robotized cleaning based on 3D imaging
- Offshore | Sensor fusion & tracking
- Recycling | Waste detection and recycling of refrigerators
- Agri & Food | orchard mapping and analysis
Specialized image processing & machine learning capabilities
- Quality inspection for high-mix low volume production | flexible tooling to support high-skilled staff making complex products in low volumes
- High-speed surface inspection with machine learning | leverage GPU power to run machine learning for inline applications
- Robotics integration | integrate machine learning in robotic systems for vision-based control
- In-house tools for incremental algorithm development | deployment and life-cycle management for machine learning algorithms
Trusted by industry leaders
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