Fundamental for many machine vision tasks

Object recognition with machine vision software

Object recognition enables machine vision systems to identify, classify, and locate objects in images or 3D data. It is fundamental to many automated inspection and production tasks – from distinguishing product variants and counting components to completeness checks and robotic handling. Depending on the application, both classical machine vision and deep-learning-based methods can be used.

What can machine vision do for your processes?

From detection to completeness checks

Core tasks of object recognition

Object recognition covers several related machine vision tasks in both 2D and 3D. While 2D object recognition uses visual characteristics such as shape, texture, contrast, or appearance, 3D object recognition additionally uses spatial information to recognize objects and determine their position and orientation. Depending on the application, objects can be detected and located, classified, counted, or checked for completeness. These capabilities support a wide range of applications, from inspection and sorting to automated handling and assembly.

Object detection

Detect and locate objects in 2D or 3D, even when their position is unknown or multiple objects need to be detected.
Explore deep-learning-based object detection

Classification

Assign objects or images to predefined classes, for example to distinguish between different products, components, or variants.
Explore deep-learning-based classification

Object counting

Determine the number of objects within an image, for example for counting and completeness checks in packaging or assembly processes.
Explore deep-learning-based counting

FROM AGRICULTURE TO AUTOMATION

Typical applications

Object recognition is used throughout industrial automation wherever products, components, or other objects need to be identified, distinguished, counted, or checked.

Detecting weeds for selective herbicide application in agriculture.
Checking correct fill levels of biscuit bags in food production.
Commissioning and identifying goods in logistics and automated warehouses.
Sorting and packing pills and medical products in the pharmaceutical industry.
Verifying the correct loading of workpiece carriers in automotive production.
Ensuring proper PCB assembly in electronics manufacturing.
Classifying bacteria cultures in healthcare and science.
Sorting materials such as plastic, wood or metal in recycling applications.

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ACCURATE & ROBUST

Object recognition technologies in our software

MVTec software offers a comprehensive and scalable set of technologies for 2D and 3D object recognition. These technologies enable accurate, robust detection and classification across diverse lighting, texture, geometry, and environmental conditions.

Object recognition & template matching
Rule-based classification
Deep-learning-based classification
Deep-learning-based object detection
Deep-learning-based semantic segmentation
Morphology
Blob analysis

3D object processing
3D shape matching and 3D surface matching
Camera calibration and hand-eye calibration
Generic Box Finder
Sheet-of-light reconstruction
Multiview stereo reconstruction
Depth from focus

More about our technologies

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Our services & support

INDIVIDUAL SOLUTION FOR YOU

Free evaluation of your application

Do you want to know if we offer the right solution for your industry? Send us your software application design and our experts will check it. Within one week you will get a proposed solution – including, if useful, an example program.

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WHITE PAPERS

Practical insights

Explore our white papers to gain practical insights and expert knowledge on industrial machine vision.

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OBJECT RECOGNITION APPLICATIONS

Our success stories

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