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Category by SENSOPART

De-stacking in the automotive industry? Sounds simple.

But it’s not.

If you’ve ever tried to automate the picking of vertically stacked parts from a rack, you know exactly what I mean.

What looks like a standard process on paper can quickly turn into a real challenge on the shop floor:
• Differently oriented parts
• Reflective surfaces
• Varying stack heights

The solution?
A smart combination of 2D vision and integrated distance measurement – all in one single device.
For many of our customers, this means:
Less downtime
Faster cycle times
Accurate picking – even with shiny surfaces Category by SENSOPART

In this video, Martin Kim, Managing Director of SensoPart Korea, takes you on a tour of our stand at the Smart Factory & Automation World 2025 trade fair and provides interesting insights into the trade fair demos. Have fun watching. Category by SENSOPART

Category by SENSOPART

The vision sensor VISOR® Code Reader easily reads bar codes of numerous types as well as printed and direct marked data matrix codes according to the ECC 200 standard, regardless of the carrier materials (metal, plastic, paper, glass).

The sensor even easily deciphers skewed or distorted codes, or those attached to convex, reflective or transparent surfaces. Category by SENSOPART

Example application from material feed: Objects are not guided within the single load carrier compartments. Thus in this application, the load carrier position is detected first in order to guide the VISOR Robotic over the individual compartments. This can be done choosing rotations freely, giving a high flexibility for the snap shot positions. The objects are then precisely located within their compartments to finally be picked precisely. Category by SENSOPART

An automated assembly application example with the VISOR® Robotic: In order to automatically insert screws into the object, its 3D position is determined based on an arbitrary contour. The VISOR® Robotic is mounted on the gripper to achieve higher precision and to enable further inspection tasks. Category by SENSOPART

Automation requirements for battery assembly lines This video shows an example task on how SensoPart sensors help increasing the efficiency in the automotive industry. SensoPart delivers solutions from the start of the battery pack assembly line to the end, ensuring reliable identification, precise positioning, and accurate inspection. The sensor products used are already well-proven in the demanding automotive industry, with customers trusting SensoPart to work in partnership with them. Building on a solid reputation and many years of experience, SensoPart provides detectors for presence and completeness checks, position control and simple measurement tasks, precise position determination, and easy-to-use calibration for measuring tasks. Category by SENSOPART

Photoelectric sensors with BlueLight technology - F 10 BlueLight, F 25 BlueLight and F 55 BlueLight - offer greater detection efficiency than conventional red light proximity sensors when detecting dark or transparent objects. Sensors with BlueLight technology therefore prove a cost-efficient alternative to standard red light retro-reflective photoelectric sensors. For example, in the packaging industry, plastics industry, automotive industry, solar industry (wafers), beverage industry or in special purpose machine construction or laboratory automation. Category by SENSOPART

Stimba successfully automated the screwdriving process at the Kia plant in Slovakia, using Universal Robots Cobots and SensoPart's VISOR® vision sensors.
This solution precisely picks screws, checks holes, and performs screwing actions with unmatched accuracy.
This advancement not only increases automation levels but also significantly reduces manual tasks for the KIA team.

 

Category by SENSOPART

True non-contact calibration that gets a system back up and running in minutes and minimizes downtime.

A major advantage of this method is that in applications with a camera mounted on the robot arm, this flexibility can be used to move the workspace in the robot workspace.This results in a high degree of flexibility.

In contrast to classical calibration methods, the field of view of the sensor during calibration and the working area of the robot do not have to be identical in handeye calibration. This means that the user can calibrate the sensor in one location and then use it in another location of the robot‘s working area. This is particularly useful if the spatial conditions do not allow the placement of a calibration plate.

Hand-eye calibration is thus a flexible and reliable method to improve the accuracy of sensors on the robot arm. Category by SENSOPART

Category by SENSOPART

Category by SENSOPART

True non-contact calibration that gets a system back up and running in minutes and minimizes downtime.
A major advantage of this method is that in applications with a camera mounted on the robot arm, this flexibility can be used to move the workspace in the robot workspace. This results in a high degree of flexibility. In contrast to classical calibration methods, the field of view of the sensor during calibration and the working area of the robot do not have to be identical in handeye calibration. This means that the user can calibrate the sensor in one location and then use it in another location of the robot‘s working area. This is particularly useful if the spatial conditions do not allow the placement of a calibration plate. Hand-eye calibration is thus a flexible and reliable method to improve the accuracy of sensors on the robot arm. Category by SENSOPART

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• Easy to use
• Perfect results
• Reliable without perspective errors
• Precise measurements in real metric units

Category by SENSOPART

Category by SENSOPART

Example application from material feed: Objects are picked from a belt that is standing still. After simple calibration, the VISOR® Robotic transmits the gripping position to be approached directly to the robot. Category by SENSOPART

This video shows how SensoPart's Hand-Eye-Calibration works in a production scenario and how it makes processes in the automotive industry more efficient. "Hand-Eye-Calibration" is an effective method to calibrate sensors mounted on the robot arm, such as in automated gripping or screwing of objects. A major advantage of this method is that in applications with a camera mounted on the robot arm, this flexibility can be used to move the workspace in the robot workspace. This results in a high degree of flexibility. To make the most of this advantage, special functions such as "Trigger Robotic" are available to inform the VISOR® of the changed position. All calculations are then carried out taking this new position into account. It should be noted that the calibration itself does not become more accurate - the exact position is, however, a prerequisite for successful calibration in the first place. Category by SENSOPART

When it comes to cobots and vision guided robotics, everybody believe they're fast, easy to use, and intuitive in their user experience. We believe the same holds for our VISOR Robotic. But...

We also believe in challenging ourselves. So we wanted to know how long it would really take us to unbox a new UR5 e-Series cobot, connect it to our VISOR Robotic, upload an example robot program, and solve a generic pick & place application. As it turns out, 15 minutes is the new benchmark.  Category by SENSOPART

In this video, Florian Geike, Inside Sales Manager at ArtiMinds, walks us through a cable plug application. The goal? To automate the insertion of a flexible cable into a plug socket using a robot and vision sensor.

Our VISOR® Robotic Vision-Sensor ensures precise cable alignment – all with easy setup and use! The result? Cost-efficient and highly industrial setups, perfectly tailored to your needs. Category by SENSOPART