Universal Picking System for Industrial Applications

Did you know that almost 40% of the manual labor in a factory is spent moving components that arrive at the factory in bins and boxes to feed the machines for the next production step?

Manual pick & place tasks are often the most repetitive and mundane tasks in a production environment, with the dull nature of the task often leading to mistakes or decreased efficiency. These manual tasks can also entail a risk of repetitive strain or other injury if the object is of substantial weight.

InPicker allows to continuously run manual and repetitive tasks with no errors and maintaining accuracy levels. Manual process automation such as the handling of heavy or hazardous elements also has a positive impact on the employees’ health and safety, who can focus on more strategic tasks and avoid injuries which might cause work leaves and a decrease in productivity.

With an average cadence of less than 8 seconds per part, InPicker optimizes production process operations and minimizes the resources allocated to maintenance. The possibility of using the system continuously, during the three daily work shifts, makes it especially interesting in continuous production systems and guarantees a rapid return on investment.

Adaptable to the specific needs of various industrial sectors, InPicker universal Pick & Place solution supports multiple machine vision and imaging technologies that provide a wide variety of product inspection applications and facilitate their integration into a quality control system. The InPicker configuration assistant has an intuitive and user-friendly GUI that simplifies process management without prior experience in machine vision.

InPicker: Bin Picking Made Easy

InPicker can solve multiple Bin Picking applications thanks to the following features:

Environment Recognition and Object Detection

When objects pile up randomly, some parts can be stuck, overlapped or hooked together, which hinders recognition. InPicker has added new model-less pre-processing and searching algorithms and support for primitive shapes matching (cylinders, spheres, boxes, etc.) which enhances object model configuration and increases searching speed. Moreover, InPicker employs deep learning object detection and location algorithms for picking CAD-less, unknown objects.

Environment Modeling and Collision Prevention

In conventional Bin Picking systems, the robot movements are determined dynamically, so it is complex to ensure that the robot will be able to reach the grasping position without inconvenience, taking into account problems of reachability or singularities. InPicker identifies the position and orientation of the parts in the bins and allows you to select a collision prevention strategy by discarding those grasping positions that may pose a risk in the robot’s trajectory.

Auto-Calibration and Easy Configuration

Most 3D vision guided bin picking applications are complex and require the assistance of 3D vision and robotics specialists to program and configure the application, since the camera and the robot must work together and synchronized. To avoid this issue, InPicker is equipped with a user-friendly Assistant that allows you to automatically calibrate the system and set up all parameters without having prior experience in machine vision.

Compatible with multiple 3D Vision Technologies

Passive Stereo Vision, Active Stereo Vision, Fringe Projection, Laser Triangulation and Time of Flight are the 3D vision technologies compatible with InPicker.

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Compatible with multiple Robot Models

Supported robots

Cobot Bin Picking Made Easy

URCap makes the configuration of your robot program a breeze with seamless integration for Bin Picking with collaborative robots.

Adaptable to all kinds and sizes of Parts and Bins

InPicker is able to calculate the variable distance to objects while the bin is being emptied and objects keep getting further away. For a conventional vision system, this involves problems of focus, scale, deformation by perspective, reflections and other issues.