CloudWalk Technology and Shanghai University and Other Units Jointly Won the First Prize of Shanghai Science and Technology Progress Award
Recently, the project jointly completed by CloudWalk Technology and Shanghai University and other units"Key Technologies and Applications for Fine Perception of Time-Varying Targets in Complex Working Conditions of Smart Factories"won the2023Annual Shanghai Science and Technology Award——First Prize of Science and Technology Progress Award.
This honor not only highlights CloudWalk Technology's technological innovation strength in the field of artificial intelligence, but also marks a major breakthrough for the company in the field of intelligent manufacturing.
Multi-party Collaborative Innovation Technology to Solve Complex Working Condition Challenges
Promoting Industrial Upgrading
This project focuses on fine perception technology for time-varying targets under complex working conditions in smart factories, aiming to solve the high-precision perception challenges in dynamic environments during industrial production.
By integrating advanced technologies such as multi-source sensor data fusion, deep learning, and edge computing, the project team successfully developed an efficient and reliable intelligent perception system capable of real-time and accurate perception of targets under various complex working conditions.
This award-winning project was jointly completed by CloudWalk Technology, Shanghai University, Shanghai Baoye Group Co., Ltd., MCC Baosteel Technology Services Co., Ltd., and the Innovation Academy for Microsatellites of the Chinese Academy of Sciences, among others. Each party fully leveraged its strengths, forming a complete chain from theoretical research to technology development and practical application.
Through close collaboration, the project team not only overcame a series of technical challenges but also successfully applied the research results in multiple intelligent manufacturing enterprises, significantly improving production efficiency and product quality.
The technical achievements of this project have been applied in multiple intelligent manufacturing scenarios, including automotive manufacturing, electronic assembly, logistics and warehousing, and other fields.
By introducing the intelligent perception system, enterprises can achieve comprehensive monitoring and refined management of the production process, effectively reducing production costs and improving production efficiency.
In addition, this technology also provides important support for the development of the Industrial Internet, promoting the transformation and upgrading of the manufacturing industry towards intelligence and digitalization.
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