In modern industrial automation, every second counts. Efficiency and precision are the cornerstones of smart production processes. But what happens when two critical steps, picking a component and inspecting its quality, run separately? The process slows down, and the potential for errors increases. This is exactly where the partnership between SOTEC and Roboception comes in, creating a seamlessly integrated solution that enables true efficiency.
Robot arms combined with sensors are already standard for precisely locating and gripping objects. The software identifies the position, and the robot picks it up. However, the subsequent quality inspection often takes place at a different station and requires separate, externally connected software. This interruption not only makes the overall process more complex and inefficient but also prevents an immediate response to defective parts. A decisive, integrated intermediate step was missing.
SOTEC, an expert in innovative software development and IIoT solutions, and Roboception, a leading manufacturer of 3D stereo sensors and robot vision software, have joined forces. The result is a practical “two-in-one” solution: SOTEC Quail, a flexible software for visual quality inspections, has been linked to Roboception’s object detection. It runs either as a UserSpace App on an rc_cube IPC or as a Docker container within Roboception’s rc_reason_stack.
Specifically, this means that Quail Edge, SOTEC Quail’s runtime containing a trained model of the defects to be detected, runs coupled with Roboception’s pose estimation.
How the Integrated Solution Works
Within milliseconds, two vital pieces of information are available: the picking position and the quality status.
Defective or contaminated parts can be identified immediately and either rejected or diverted to a separate process step without interrupting the production flow.
The advantages of this integrated solution are clear:
The collaboration between SOTEC and Roboception goes beyond mere technology integration. Roboception was one of the first beta testers for the Quail Cloud, the central platform for data management, labeling, and AI model training. The Roboception team was able to independently manage their image data, label it, and train the models for quality inspection. This hands-on experience highlights the intuitive usability and the cooperative approach of Quail. The easy handling allows technical experts without deep AI knowledge to create and manage robust inspection models.
Convince yourself of the power of this partnership! SOTEC Quail will be prominently featured at Hannover Messe in Hall 13, Booth C24 (at the booth of the RoX research project – Digital Ecosystem for AI-based Robotics).
Experience the solution live through exciting demonstrators. Visit us and learn how SOTEC, Roboception, and many other RoX partners are creating new possibilities in the field of Robotics & AI.
We look forward to speaking with you!
View all our use cases here.
2025
Following the guiding principle "Eyes and Brains for Your Robot," Roboception develops hardware and software (3D robot vision systems) that provide robots with precise spatial perception. These user-friendly solutions combine AI with 3D stereo cameras to implement complex tasks, such as grasp point detection and flexible automation.
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