AW2026, held annually at COEX in Seoul, is one of Asia’s leading smart manufacturing and automation exhibitions. This year, Zivid showcased its new product, Zivid 3, optimized for depalletizing and big bin picking applications.
Zivid 3 is a camera capable of capturing 2D images, point clouds, normal/depth maps, and barcodes simultaneously from a single sensor, even at long distances. Through native pixel-point matching, all data can be acquired in a single capture.
In addition, demonstrations of the Zivid 2+ R-series cameras, featuring various fields of view (FOV), were also presented. The Zivid 2+ R-series demo showed how the camera can capture high-quality 2D images and point clouds at ultra-high speed, even in environments where ambient lighting temperature and intensity change.
CMES demonstrated practical fulfillment automation, connecting high-speed piece picking to automated packaging in e-commerce and logistics environments.
The demo featured a high-speed picking cell where Zivid 3D vision, industrial robots, barcode readers, and an automated bagging system were seamlessly integrated, clearly illustrating the future direction of logistics automation.
AIDIN Robotics showcased the complete automation of complex grinding and polishing processes that were traditionally performed manually, presenting a path toward improved manufacturing quality and productivity.
Their demo automated the entire workflow, from multi-angle scanning → 3D model generation → robotic polishing → surface inspection, clearly demonstrating the value that 3D vision can bring to precision manufacturing.
This demonstration presented a logistics automation scenario where parts stacked in multiple layers could be accurately detected and handled with high reliability.
Using Zivid’s high-precision detection, stacked parts were identified and transferred to trays smoothly and stably.
UR Robotics and HRT Robotics demonstrated a collaborative robot-based picking automation cell optimized for high-mix, low-volume production environments.
Thanks to Zivid’s stable 3D recognition, accurate picking was possible with minimal setup, attracting significant interest from visitors.
TM Robotics demonstrated a system capable of automatically adjusting gripping strategies depending on the arrangement of parts, highlighting the potential of flexible automation for assembly and handling.
In the demo, the robot dynamically adjusted gripper settings in response to environmental changes, creating a particularly impressive display.
TXR Robotics showcased a bin-picking cell designed to closely resemble real factory environments, realistically reflecting how automation systems operate in production settings.
By replicating timing and operational flow similar to real manufacturing lines, the demonstration generated strong confidence among visitors.
Koras Robotics presented a bin-picking solution enabling flexible picking and transfer operations within manufacturing lines, with Zivid-based high-precision object recognition as a key strength.
Their demo, powered by Zivid cameras, demonstrated practical automation performance ready for deployment in real manufacturing environments.
One key takeaway from this year’s exhibition was that high-quality 3D vision is no longer optional; it has become a core component of automation. It was particularly impressive to see multiple real-world examples of Zivid-based solutions solving practical challenges across applications such as bin picking, surface processing, and logistics automation.
Another major theme at AW2026 was the growing excitement around Physical AI. From humanoid robots to adaptive autonomous systems, companies and developers were deeply focused on a fundamental question, “What kind of vision technology is required for robots to truly understand and interpret the real world?” This trend aligns naturally with the direction we pursue at Zivid.
If Physical AI represents the “brain” of robots, Zivid provides the “eyes” that allow robots to perceive the world. We believe that this combination will play a decisive role in the next generation of robotics innovation.