Five machines are connected into a production line. As soon as the parts such as mobile phone chips and battery power supply pass through the production line in just 4 seconds, more than 20 cameras will conduct all-round detection of their size and accuracy, with the detection error rate within 2 microns. During this period of time, with the industry's first self-developed automatic size and appearance inspection equipment put into use, Suzhou Industrial Park enterprise Suzhou Dingna Automation Technology Co., Ltd. has realized the substitution of industrial vision inspection products in the field of localization. "Our device can not only detect the micron difference of a component, but can also be assembled accurately to minimize the error." Ding Na automation technology founder, chairman of the Qin Ying Hua said.

Founded in 2010, Dingna Automation is a home-grown leading enterprise in the park, committed to enabling the traditional manufacturing industry with advanced technologies such as 3D vision, artificial intelligence and robot control. At present, its products are widely used in consumer electronics, automotive manufacturing, photovoltaic semiconductor, warehousing logistics and other industries. In recent years, Dingna Automation actively seize the development opportunities of the industrial Internet, focusing on 3D vision ultra-precision measurement technology, deep learning complex defect detection technology, artificial intelligence object recognition technology and robot vision intelligent grasp technology and other fields, continue to deepen the field of intelligent manufacturing equipment research and development and production. At present, its technology and products have won the favor of the world's leading enterprises in electronic information industry.

"The diameter of a hair is about 70 microns. The measurement error of our self-developed automatic size and appearance inspection equipment is within 2 microns, which is only one thirty-fifth of a hair's." Qin said the device, which is equipped with artificial intelligence 3D vision technology and deep learning with big data, is "smart". "Take mobile phone cover glass and mobile phone case as an example. In the past, when the detection accuracy was not so high, users would have their hair caught in the phone when making a call." Qin Yinghua explained that the size of qualified parts will be within the error allowable range, but the previous detection equipment can only detect whether each part is qualified, but can not be the size of the closest two parts of each other. The new equipment can effectively solve this problem, for each component to find a "soul partner", the maximum pressure reduction product defect rate.

Deep in the field of machine vision, Dingna Automation will invest 15% of its revenue in research and development every year. At present, the company has set up branches in Shenzhen, Zhejiang and Silicon Valley, and is accelerating the layout of the R&D headquarters in the park. Recently, the enterprise completed by source capital, far sea Ming Hua, Xiao Miao capital joint investment of 100 million yuan B round of financing. In the future, the company will continue to improve the accuracy and speed of automatic detection, and constantly upgrade the automatic intelligent manufacturing equipment with the integration of software and hardware, so as to help Suzhou manufacturing industry accelerate toward "intelligent manufacturing". (Photo/Video by Dong Jiewen, Financial Media Reporter of Su Daily)