Recently, Hexagon and ZG signed a control acquisition agreement to improve its capabilities of the 3D data acquisition and further expand Hexagon’s solutions in the field of smart manufacturing. After the acquisition, ZG will be included in the Hexagon’s manufacturing smart unit.

ZG was established in 2014, relying on the background of the photogrammetry and remote sensing of Wuhan University, is committed to providing users with 3D digital solutions. All products are independently researched and developed, designed, and produced. Many core technologies are at the international leading level. Many new products are the world's first. They have successively won the first prize of Chinese Society for Geodesy Photogrammetry and Cartography and many other awards.

The 3D scanning technology of ZG breaks the limitations of traditional measurement and data processing methods. It can quickly scan the object in a complex environment, easily obtain high-precision three-dimensional surface data of various irregular, standard or non-standard entities, and perform the three-dimensional modeling, measurement, inspection and virtual reproduction on real objects. The 3D scanning technology has the significant advantages such as flexible portability, non contact, real-time dynamics, digitization, and automation. At present, ZG's technology and products have been widely used in automobile manufacturing, aerospace, rail transit, machinery and heavy industry, mold and die manufacturing, cultural museum art, biomedicine, industry, home, education and scientific research, 3D printing, VR and AR display, etc. In recent years, it has accumulated more than 2,000 3D engineering project experiences.

Li Hongquan, a senior vice president of Hexagon, said that ZG’s 3D digital solutions and Hexagon’s existing metrology industry complement each other. Introducing ZG into Hexagon, we will work together to turn over a new leaf. After the integration, it can provide users with more perfect and comprehensive digital solutions, fully tap the intelligence potential of data, improve the quality, efficiency and productivity of users, and open up new horizons in smart manufacturing.