We’re excited to introduce our new GUI for hand-eye calibration and verification, a tool designed to simplify the calibration process and provide clear visual guidance. This new interface is the result of Zivid’s commitment to making technology accessible and easier to use, benefiting both our customers and our support team.
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One of the most frequently discussed topics with our customers is Hand-Eye calibration – the process of aligning 3D cameras (the Eye) to robotic systems (the Hand). We have extensive tutorials explaining the problem and solution, accompanied by multiple tools. However, we lacked a method to pack all of this into an easily accessible tool.
While most customers create their own custom solutions to get started, it is always beneficial to be guided through the entire process with a graphical user interface. Hence, we finally put it all together in a new Hand Eye GUI.
The new GUI is a tool that enables users to conveniently perform hand-eye (HE) calibration and three types of verification (with projector, stitching, and touch test). By consolidating these operations into a single, intuitive interface, users can now achieve HE calibration and verification with clear visual feedback at each step.
The hand-eye GUI isn’t designed for direct production use. While it can certainly be used that way, it’s primarily meant as a sample—an example to help customers develop their own tools. The Hand-Eye GUI offers a solid reference, showing how the calibration process can be implemented smoothly within their own workflows.
To explore this new feature, check out the demo video with Torbjørn, our Application Engineer who developed the sample.
Getting good hand-eye calibration is a difficult task, and our customers often reach out to us for guidance. While Zivid provides extensive tutorials and tools to tackle this process, there was still a need for an intuitive, all-in-one solution.
Previously, hand-eye calibration required navigating multiple methods and tools, so we recognized that the process could be more straightforward. Many of our customers create their own solutions to get started with calibration, but it makes a real difference to have a tool that guides you through each step with a simple, visual interface.
That’s why we pulled everything together into the new Hand-Eye GUI, making the whole process clearer and more approachable from start to finish.
The new GUI offers a cohesive package that allows customers to see each step visually, understand what’s happening in real-time, and follow an intuitive calibration process. Visual feedback is available throughout the process, making it clear where adjustments are needed to get precise alignment between the camera and the robot.
Additionally, customers can filter subsets of calibration data to exclude outliers, which can be crucial for refining accuracy. These features not only improve the calibration experience, but also minimize the number of steps customers must take to troubleshoot on their own.
The new GUI also streamlines the support process, as it decreases support tickets related to hand-eye calibration. Our application engineers now have a way to guide users more effectively through each step, and customers can inspect individual calibration stages visually.
One of the most exciting opportunities with the new GUI is the potential for incorporating automated checks, making the process faster and more consistent.
Additionally, this GUI creates new possibilities for applications where highly precise calibration and verification are required, paving the way for more reliable deployments across various industries. Based on user feedback, we may also consider integrating this GUI into Zivid Studio to extend its functionality further and make it more accessible.
This GUI is more than just a software upgrade - it reflects Zivid’s commitment to listening to our customers and creating solutions that address real-world challenges. Many of our customers have indicated that, while documentation is available, a simplified, distilled approach to calibration was highly desirable. The GUI responds to this need, offering just the correct information when users need it, and making calibration as straightforward as possible.