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Robot Vision by EVT

Key Features

  • Bin Picking

    Recognition of the position and shape of each object Finding and picking out unsorted parts in a box

  • Palettizing and Depalletizing

    Detection of objects through deep learning Fast, precise and autonomous actions

  • Object Sorting

    Precise recognition of the position and shape of objects Sorting out incorrect or faulty objects

  • Pick and place

    Localizing and picking object at high speeds

Bin picking is an automated technology in which robots remove objects from bins that have been placed out of order. 3D sensors are used to detect the exact position of the objects in the room and transmit this to the robot. This method is ideal if the objects are not pre-sorted and are available in any orientation.

  • Sensor

    3D sensors for depth detection

  • Objects position

    Disordered, random positions and orientations

  • Complexity and challenges

    Recognize overlapping, twisted or difficult to grasp objects requires 3D detection and collision avoidance -> high complexity

Palletizing and depalletizing with Robot Vision enables the automatic stacking and removal of goods using intelligent image processing. By using 2D or 3D cameras, robots recognize the position, orientation and shape of objects, enabling precise handling without manual intervention. This technology increases efficiency in logistics and production by speeding up work processes and reducing errors.

  • Sensor

    2D/3D cameras for object recognition and orientation

  • Objects position

    Mostly ordered on pallets

  • Complexity and challenges

    Ensure stability of stacked objects - requires precise stacking/removal positions

Object sorting with Robot Vision enables automated detection, classification and sorting of objects based on characteristics such as shape, color, size or codes. By using 2D or 3D cameras, the system records the relevant properties and forwards the objects to the correct position. This technology increases efficiency in production and logistics, reduces errors and minimizes manual effort.

  • Sensor

    2D/3D cameras for classification

  • Objects position

    Ordered or unordered, but classifiable

  • Complexity and challenges

    Correctly distinguish similar objectsr - equires classification according to certain features -> trainable with Ai

Pick-and-place with Robot Vision enables the precise picking and placing of objects by robots equipped with intelligent image processing systems.  2D cameras record the position, orientation and properties of the objects and transmit this information to the robot. This allows components, workpieces or products to be moved efficiently and error-free, which significantly improves automation in production, logistics and assembly.

  • Sensor

    2D cameras for object recognition

  • Objects position

    Mostly sorted or known

  • Complexity and challenges

    Precise handling, different object shapes - requires precise detection of position

AI-driven object recognition within images

The EyeVision software efficient segmentation for detailed data extraction. Starting with image capturing and preprocessing it based on convolutional neural networks. Through advanced feature detection, we enable seamless data conversion, analysis, and interpretation. All of this is powered by our softwares versatile AI implementation, ensuring precision and adaptability across applications.

Efficient segmentation for detailed data extraction

Based on EVT versatile AI Implementation:

  • Various pre trained Networks
  • Easy to adapt through Transfer Learning
  • Used for Detection and Segmentation
  • Data Augmentation

More infos about Robot Vision:

Real Time Tracking with Robot Vision
EyePickIt: Our Robot Vision Bundle
Insights about Robot Vision with Michael Beising

Try out the EyeVision Software for free and convince yourself!

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