Camera quality control and inspection

Comprehensive and fast camera control makes it possible to set the output quality to a high level with minimal effort, also thanks to artificial intelligence.

3D control

Scene recognition using 3D camera for inspection of packaging, material and its handling.

3D inspection

Accurate analysis of shapes and dimensions using 3D scanning.

Robotics

Complex inspection of objects using a robotic arm.

Camera quality control and inspection

Comprehensive and fast camera control makes it possible to set the output quality to a high level with minimal effort, also thanks to artificial intelligence.

3D control

Scene recognition using 3D camera for inspection of packaging, material and its handling.

3D inspection

Accurate analysis of shapes and dimensions using 3D scanning.

Robotics

Complex inspection of objects using a robotic arm.

The ADMIN4.0 system allows you to create quality control camera functions and use them to check the correct execution of a task or the entire product. There is a range from basic inspection functions to learned neural network inspections and 3D scanning with deviation analysis.

An inspection system set up in this way completely eliminates defects in the final product and, by linking with the visual guidance workstation, can automatically condition the inspection of individual work steps.

Using position recognition functions, it is possible to determine the position of objects in the workspace and thus dynamically adjust the position of the inspection and visual guidance functions or use the position as coordinates for the robotic arm.

The ADMIN4.0 system allows you to create quality control camera functions and use them to check the correct execution of a task or the entire product. There is a range from basic inspection functions to learned neural network inspections and 3D scanning with deviation analysis.

An inspection system set up in this way completely eliminates defects in the final product and, by linking with the visual guidance workstation, can automatically condition the inspection of individual work steps.

Using position recognition functions, it is possible to determine the position of objects in the workspace and thus dynamically adjust the position of the inspection and visual guidance functions or use the position as coordinates for the robotic arm.

Recognition of properties

Shape recognition and control

Pattern recognition

Material defect detection

Checking correctness indicators

Recognition of properties

Shape recognition and control

Pattern recognition

Material defect detection

Checking correctness indicators

Recognition of properties

Shape recognition and control

Pattern recognition

Material defect detection

Checking correctness indicators

Flir, Basler a HIKROBOT

2D camera

Intel Real Sense

3D Hand Tracking camera

Basler Blaze

3D camera

Photoneo

3D scanner

Keyence

2D/3D scanner

Flir, Basler a HIKROBOT

2D camera

Intel Real Sense

3D Hand Tracking camera

Basler Blaze

3D camera

Photoneo

3D scanner

Keyence

2D/3D scanner

Flir, Basler a HIKROBOT

2D camera

Intel Real Sense

3D Hand Tracking camera

Basler Blaze

3D camera

Photoneo

3D scanner

Keyence

2D/3D scanner

Camera quality control and inspection

Presence and correctness check

Quality control is performed by analyzing the image using the following functions:

  • Colour analysis – checking for the presence of a colour spectrum, this function is used in the case of different coloured surfaces which allows the presence of components in a given location to be determined in a robust way.
  • Shape check – By recognizing the shape of objects and comparing it to a reference, it allows checking for the presence of the correct shape at the inspection site.
  • Barcode, QR and OCR – Recognition of numbers and text after engraving or printing on the product and reading barcodes and QR codes and checking or automatically categorizing them.
  • Change – Intelligent analysis to recognize change in the inspection region easily used to recognize only the presence of objects such as hand and tool or components.
  • Flags – The analytically learned shape search function in the image allows you to quickly and easily define the object of interest for inspection.

Inspection of quality and shapes

Detailed shape analysis can be used to determine the size, angle and relative distance to references, which allows precise evaluation of the correctness of the objects.

Neural networks for quality control

A modern and advanced form of image analysis using artificial intelligence. The creation of functionality takes the form of learning from real images focused on objects, components and parts and in this way can be learned and continuously refined. Over time, inspection thus becomes a robust function that recognizes object shapes as well as defects on objects with high accuracy, even under changing ambient or process conditions. It is this adaptability that elevates this type of inspection above classical image analysis methods.

Neural Networks for Quality Inspection

Defect detection on objects and surfaces is an essential part of a modern inspection workplace. Using the learned defects, the system can recognize material defects or surface and design defects.

Object detection using CAD

An essential part of a vision system is the recognition of the position of objects in space and the automatic adaptation of the production technology to the new position, e.g. visual guidance, camera system, robotic arm and others…

The ability to recognize the position using CAD files, DXF curves and STL models. In this way it is possible to link technical drawings with the camera program.

Object detection using detection tags

A more robust method of position detection using detection marks suitable for dynamically changing positions of objects, tools and more.

3D control

Accuracy

Depending on the 3D camera used, the accuracy ranges from 5 to 50mm, allowing for both simple and complex custom solutions.

Checking pallets and packaging for completeness

The 3D camera is the ideal tool for checking the completeness of pallet packaging. It analyses each box and each layer with precision to ensure that the packing quantity is not exceeded.

Detection of objects and their position

3D analysis of the space and recognition of objects and their position in it allows you to check the correctness of the assembly or design of packages, products or assemblies.

Monitoring of hands and handling in the space

Monitoring the operator in the work area allows you to control the activity and point out any improper handling, thus avoiding mistakes.

Gesture control

The operator can easily control the production process by hand gesturing signals such as pause, stop and other…

3D inspection

Scanning with a linear scanner

The most accurate form of surface scanning and analysis to thousandths of a millimetre. The static attachment of the scanning head with a moving object, whether on a linear stage or a robotic arm, allows you to create a highly accurate 3D model of the scanned object, or just to analyse deviations on a continuously scanned profile.

Profilometry

Primarily the most accurate way to analyze a surface is to scan the profile and apply measurement functions that evaluate the correct dimensions of the scanned object, or defects on the surface.

3D scanning in motion

By setting the scanned object or scanner head in motion, it is possible to create a precise 3D model and comprehensively analyse the shape and defects on the surface.

3D kamerové aplikácie - kontrola kvality - detekcia škrabancov

3D measurement

The analysis of a complex 3D model is suitable not only for local shape analysis but also for the overall measurement of the positions and dimensions of the entire scanned object.

Robotic scanning

By combining a linear or 3D scanner with the dynamics of a robotic arm, it is possible to scan complex objects by positioning the scanning device to the required positions.

Reference check with 3D model

The result of the 3D scan is a 3D model, which can then be compared with a reference 3D model to determine mutual deviations and thus analyze the accuracy or error of the design.

Customization with ADMIN4.0

Various possibilities offered by 3D scanning technology can be customized with ADMIN4.0.

3D kamerové aplikácie - point cloud

Robotics

Robotic control, handling and inspection applications

The ADMIN4.0 system supports the configuration of the Universal Robots robotic arm and thus makes it possible to extend the capabilities of the visual guidance workstation to include robotic operations or to create autonomous stations for handling, assembly or quality control.

Universal Robots

UR robots are ideal for configuring a wide range of applications due to their versatility, configurability and ease of use. They are thus a unique tool for the ADMIN4.0 system.

Integration with ADMIN4.0

UR robots are fully integrated into the ADMIN4.0 configuration environment and can thus be linked to other functions such as camera vision, 3D scanning, visual projection and guidance, etc.

Dynamic control

The configuration of the robot control allows not only static robot coordinates but also dynamic ones, allowing the robot to adapt to changing environments and, by connecting with the camera system, to adapt its coordinates to moving objects in the workspace.

Applications in industrial sectors

Handling and assembly
Quality control
Spolupráca človek - robot
Human-robot collaboration

More about the solution Vision

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