From June 22nd to June 25th, local time, AUTOMATE 2026, the largest automation technology event in North America, was held as scheduled at the McCormick Hall in Chicago, USA.
As the domestic machine vision company with the largest market share in the field of complete automobile manufacturing, Yisiwei will bring several sets of vision systems covering the four key automobile manufacturing processes of stamping, welding, painting, and final assembly to the exhibition to comprehensively demonstrate to global professional audiences the mature productization capabilities of China’s industrial machine vision technology.
At this exhibition, Yisiwei focused on the quality control and efficiency improvement needs of the entire automobile manufacturing chain, focusing on five core vision application solutions, covering various detection and control needs of the core processes of automobile manufacturing. On the first day of the exhibition, it attracted hundreds of global industry practitioners to stop for consultation and docking.
Paint surface defect detection
This paint surface defect detection system is based on the phase deflection 3D imaging principle and combines the advantages of highly flexible robot operations to achieve real-time detection, intelligent classification and precise three-dimensional measurement of defects.
The system not only has high detection accuracy and strong adaptability to multiple models, but can also be seamlessly connected with the automatic grinding and polishing system. The detection results can not only guide manual labor to quickly identify defects and complete efficient repairs, but can also directly drive the grinding and polishing robot to complete automatic repairs.
At the same time, relying on defect data analysis, defect root cause tracing and process optimization can be achieved, providing data support for corporate quality management and continuous improvement.
Glue coating quality inspection
Easiwe’s real-time glue coating detection solution can accurately identify, classify and upload defects such as glue breaks, strip position deviation, excessive width and narrowness, and abnormal alarms during the automated glue coating process. It can also feed back the optimization of the glue coating process through multi-dimensional data statistical analysis functions to help customers promote the implementation of localized glue coating inspection specifications.
Currently, more than 5,000 sets of this online gluing system have been implemented worldwide. The massive number of real-life application scenarios provides sufficient samples for the training of product AI detection capabilities, ensuring detection accuracy and stability in special scenarios such as grooves, stacked plates, holes, and shadows.
Online dimensional measurement
Easiwe’s online dimensional measurement system, based on self-developed 3D point cloud sensors and point cloud processing algorithms, has overcome the difficult measurement problems of special-shaped complex features such as studs, threaded holes, and counterbore holes. It can be adapted to the high-tempo production environment of the welding main line and parts factory, and achieve 100% online inspection of the body frame and key assembly dimensions.
The system adopts absolute measurement technology, which does not require calibration with CMM. The system accuracy can reach 0.1mm. While intercepting the risk of dimensional deviation, it ensures high stability, high efficiency and high quality operation of the production line.
Gap and surface difference measurement
Based on full-stack self-developed technology, Yisiwei’s gap and surface measurement solution can achieve gap and step measurement of transparent parts without spraying. The measurement accuracy of components such as headlights, windshields, canopies, and frameless doors can reach ±0.05mm.
This solution has been widely used in scenarios such as the final assembly submission line and welding adjustment line of main engine plants, providing reliable detection data support for quality control of appearance matching from welding to final assembly.
Visually guided material handling, loading and unloading and matching installation
At the exhibition site, Yisiwei also demonstrated three new-generation laser galvanometer point cloud sensors with different working distances. Its ambient light resistance is increased by 60%, point cloud collection time is shortened by 40%, and the measurement accuracy can reach 0.5mm. It can be flexibly adapted to automated scenarios such as material handling, tire and seat installation, effectively reducing production line labor costs and improving assembly accuracy and efficiency.
During the exhibition, the Yisiwei team had in-depth exchanges with automobile manufacturing industry practitioners and industry partners from all over the world, held heated discussions around the application of machine vision in vehicle manufacturing and parts manufacturing, and identified a number of potential cooperation needs.
This exhibition at AUTOMATE 2026 is not only a concentrated display of Yisiwei’s technical strength for the North American market, but also an important window for discussing cutting-edge applications of visual technology with global automation practitioners.
In the future, the company will continue to accelerate the pace of global market expansion through the two-wheel drive of technological innovation and market development, and provide cost-effective Chinese machine vision solutions for the intelligent upgrading of global manufacturing.
