Operational Optimization of Production Processes

In today’s industry, automation and robotization are key parts of production processes. An essential part of the factory of the future is the complete automation of the processes and the adaptation to the new more dynamic and flexible industrial environments.

Vision Guided Robotics (VGR) systems stand out for their flexibility and for having a high degree of adaptability that allow to develop more versatile applications. These systems are especially useful in automated production processes, where great precision in the control and guided vision of the robots is required. Random Bin Picking stands out among the most demanding VGR applications. It consists of selecting and picking randomly sorted parts from a container, using a 3D vision system to locate those parts and a robot system for their extraction and placement within a production process.

InPicker allows to continuously run manual and repetitive tasks with no errors and maintaining accuracy levels. The automation of manual processes 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 piece, InPicker optimizes the operation of the production processes 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 generic and universal solution is compatible with multiple machine vision and image analysis technologies based on Deep Learning 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 having previous experience in machine vision.

InPicker: Bin Picking Made Easy

InPicker is capable of solving multiple Bin Picking applications thanks to the following features:

Dynamic exploration and non-contact recognition.

When objects pile up randomly, some parts can be stuck, overlapped or hooked together, which hinders inspection by contact. InPicker facilitates this process through a dynamic exploration of the scene with an extended vision field, where conventional probe inspection methods are not feasible or practical.

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 containers and allows you to select a collision prevention strategy by discarding those grasping positions that may pose a risk in the robot’s trajectory.

Easy configuration using the Assistant.

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 determine and set up all parameters without having prior experience.

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

Compatible robots with our technology

Adaptable to any kind of parts and types/sizes of containers.

InPicker is able to calculate the variable distance to objects as the container is 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.