【Partnership】From Pipe Assembly to Bin Picking: Transfer Technology Showcases Core Tech at Seoul Smart Factory+Automation World 2025
Transfer Technology, in collaboration with its Korean strategic partners Fainstec, Yuil Robotics, and Dobot, demonstrated high-difficulty application solutions for assembly and bin picking at Smart Factory+Automation World 2025 in Seoul, using the Epic Eye series industrial 3D cameras as the core.
From March 12 to 14, 2025, the flagship industrial automation exhibition in Asia, Smart Factory+Automation World 2025 (SF+AW 2025), was held at COEX Convention Center in Seoul.
Transfer Technology, together with its Korean strategic partners Fainstec, Yuil Robotics, and Dobot, demonstrated high-difficulty application solutions for assembly and bin picking at the exhibition, using the Epic Eye series industrial 3D cameras as the core.
01 Epic Eye Camera Series: Redefining Machine Vision Standards
High-Precision Oil Pipe Assembly with Epic Eye Pixel MINI
In the core area of Booth B930, Transfer Technology showcased an oil pipe precision assembly system based on the Epic Eye Pixel MINI industrial 3D camera. With a recognition accuracy of ±0.2 mm, imaging speed of 0.2 s, and a mobile-phone-sized ultra-compact body (130×59×73 mm, 0.8 kg), the camera sets a benchmark for operations in confined industrial spaces. Using blue laser structured light technology, the Pixel MINI accurately captures 3D point clouds of oil pipe joints in complex piping environments, achieving extremely low error rates in assembly with its self-developed pose estimation algorithm.
△ Epic Eye Pixel MINI enables high-precision oil pipe assembly
Bin Picking of Screws and Multi-Category Sorting with Epic Eye Pixel Pro
Addressing industry challenges like metal reflection and overlapping occlusion, the Epic Eye Pixel Pro industrial 3D camera performs excellently in the following scenarios:
Bin Picking of Screws: Using the Pixel Pro’s anti-high-reflection algorithm and 450 nm blue light source, it stably identifies screw positions and poses under strong ambient light interference, covering an area of 1400×857 mm in a single scan, achieving a picking success rate of 99.7%.
Multi-Category Workpiece Intelligent Sorting: By combining deep learning and high-precision point cloud fusion, the Pixel Pro can distinguish workpieces of different materials (e.g., metal, plastic) in real time, with positioning accuracy of ±0.1 mm, meeting the flexible demands of mixed-line production.
△ Epic Eye Pixel Pro enables bin picking of screws and multi-category sorting
Collaborative Robot Integration with Epic Eye Pixel MINI
In the booth of partner Yuil Robotics, the Epic Eye Pixel MINI is deeply integrated with collaborative robots, demonstrating eye-in-hand dynamic picking. With an ultra-low power consumption of 4.5 W and a lightweight design, it significantly reduces robot load energy consumption, making it suitable for confined space operations and extending continuous working time.
02 Partner Ecosystem
Transfer Technology and Korean leading company Fainstec (Booth B316) jointly created the largest independent exhibition area at the show, presenting smart factory scenario-based solutions. As a long-term partner of Transfer Technology, Fainstec integrates the Pixel series cameras through standardized interfaces, enabling “2-hour application setup” and “zero-code development,” lowering the technical barrier for customers. In addition, the collaborative demonstration between Dobot robotic arms and Transfer’s vision system verified their deep adaptability for flexible production lines.
At SF+AW 2025, Transfer Technology once again strengthened its leading position in industrial 3D vision through the triple advantages of high-precision hardware, intelligent algorithms, and ecosystem collaboration. In the future, the company will continue to deepen cooperation with global integrators, promoting the deployment of Epic Eye series products in smart manufacturing scenarios, helping enterprises achieve cost reduction and efficiency improvement in digital transformation.