ThunderSoft and Amazon Web Services (AWS) work together to accelerate the deployment of smart industrial AI. ADC system fully integrates Amazon SageMaker

On June 4, 2020, when Amazon SageMaker machine learning service was launched in the China region of Amazon Web Services (AWS), ThunderSoft took the lead in announcing that it had integrated Amazon SageMaker into ThunderSoft's smart industrial ADC (Automatic Defect Classification) system, allowing manufacturing customers to easily obtain AI quality inspection capabilities in industrial production. Through Amazon SageMaker's powerful features such as elastic notebook, experiment management, automatic model creation, model debugging and analysis, and model concept drift detection, ThunderSoft will accelerate the implementation of intelligent manufacturing and help companies to start production faster with less workload and lower cost, while saving manpower, improving product yield, releasing production capacity, and enhancing competitiveness.

At present, the fourth industrial revolution marked by artificial intelligence, big data, and the Internet of Things is in full swing, and the world has entered the era of intelligence. Since the beginning of this year, the country has introduced a number of policies and measures to accelerate the development of new infrastructure, further promoting the integration and innovation of 5G, artificial intelligence, and the industrial field. Labor-intensive traditional manufacturing industries are increasingly actively introducing new technologies such as artificial intelligence in the production process to solve the problems of low production efficiency and increasing labor costs year by year, and improve the competitiveness of the industry.

As a world-renowned provider of intelligent operating system products and technologies, Thundersoft has a deep understanding of the development needs and trends of the traditional manufacturing industry. Based on its deep technical accumulation in the fields of intelligent operating systems, graphics and image processing, and artificial intelligence, Thundersoft launched a one-stop solution for industrial visual inspection in 2018 - the Smart Industrial ADC system. The system includes three subsystems: automated defect classification, data cleaning for new product iterations, and certification of business operators. From operator skill certification, data set updates to new product introductions, it runs through the entire life cycle of industrial inspection, effectively helping manufacturing companies reduce their workload by 75% and increase their production capacity by 35 times. Compared with manual inspection, the missed detection rate drops by 3% and the accuracy rate increases by 99%. At present, Thundersoft has expanded to industries such as LCD panels, automobile manufacturing, electronic products, cosmetics manufacturing, and rubber manufacturing, helping many customers improve their industrial automation and intelligence levels.

Any customer application of a smart industrial ADC system requires the implementation of machine learning. The implementation of machine learning is a complex task that involves a lot of trial and error, requires a lot of professional skills, and consumes huge computing power, data storage, and time costs. Amazon SageMaker can make this process simpler and more efficient, helping customers remove the confusion and complexity involved in machine learning, allowing customers to quickly build, train, and deploy models to meet new challenges. In particular, the Amazon SageMaker Studio integrated development environment (IDE) provides a unified interface for the entire machine learning workflow, making it easier and faster to build, train, interpret, inspect, monitor, debug, and run machine learning models.

At the edge, which is commonly involved in the smart industrial field, developers need to spend weeks or months manually tuning each model because the memory and processing power of edge devices are often highly limited, but they are very sensitive to latency, and there are various hardware platforms and processor architectures. At the same time, due to the complex tuning process, the model is rarely updated after being deployed to the edge, and developers may miss the opportunity to retrain and improve the model based on the data collected by the edge device. With Amazon SageMaker Neo, developers only need to train the machine learning model once and run it anywhere in the cloud and on the edge. Amazon SageMaker Neo can optimize the model to run twice as fast, while taking up only 1/10 of the memory, and will not affect accuracy. Amazon SageMaker Neo can optimize models deployed on Amazon EC2 instances, Amazon SageMaker endpoints, and devices managed by AWS Greengrass, enabling seamless connection between industrial visual inspection applications and other applications.

Amazon SageMaker can effectively meet the actual needs of the industry and reduce the dependence of engineers on development, environment, and operation and maintenance during the algorithm implementation process. For example, in the implementation of the ADC system in the electrical industry, by integrating Amazon SageMaker, the end-user's one-time investment cost was reduced by 42%, the workload of software development was reduced by 39%, the system's online time was shortened by 50%, and the system's operating efficiency was 35 times that of traditional detection, solving the obstacles to the implementation of the ADC system in industrial scenarios. Thundersoft CTO Zou Pengcheng said: "The Thundersoft Intelligent Industrial ADC system brings together our excellent capabilities in operating systems, artificial intelligence, and engineering construction, and has been successfully implemented in the LCD panel industry, with a very complete industrial detection system system. In recent years, Thundersoft has proposed the 'service cloud' strategy to connect the front-end and back-end industrial chains and promote the accelerated digitalization of the smart industry. We are very honored to work with AWS to integrate Amazon SageMaker to greatly improve the efficiency of the implementation and deployment of the smart industrial ADC system in the industrial manufacturing field. At the same time, relying on AWS to achieve business development and continuous innovation, accelerate the intelligent, automated and digital upgrades of the global smart industry."

Wang Yong, General Manager of AWS China Ecosystem and Partner Department, said: "Thundersoft is an excellent APN (AWS Partner Network) partner, especially in IoT and artificial intelligence. An important feature of Amazon SageMaker is that it can be integrated with various industry applications to further empower application scenarios in various industries. We are very pleased that Thundersoft can become one of the first APN partners to use Amazon SageMaker in AWS China. Based on Amazon SageMaker, Thundersoft can build a better smart industrial visual inspection AI system to meet the needs of more customers and help them achieve intelligent transformation."

About ThunderSoft

ThunderSoft Co., Ltd. (stock code 300496) was established in 2008 and is a world-renowned provider of intelligent operating system products and technologies. The company is committed to providing intelligent operating system products, technologies and solutions. Based on operating systems and focusing on artificial intelligence technology, the company helps and accelerates productization and technological innovation in the fields of smartphones, smart Internet of Things, smart connected cars, smart industries, etc. ThunderSoft has an international team with a deep understanding of operating system technology. Headquartered in Beijing, its subsidiaries and R&D centers are distributed in more than 20 regions around the world, providing convenient and efficient technical services and local support to global customers. At the same time, ThunderSoft has close cooperative relations with chips, components, terminals, software, Internet manufacturers, operators and cloud manufacturers in the industry chain, and has unique vertical integration advantages. For more information about ThunderSoft, please visit www.thundersoft.com .

About AWS

For 14 years, Amazon Web Services (AWS) has been the world's most service-rich and widely used cloud service platform. AWS provides more than 175 full-featured services covering computing, storage, databases, networking, analysis, robotics, machine learning and artificial intelligence, Internet of Things, mobile, security, hybrid cloud, virtual reality and augmented reality, media, as well as application development, deployment and management, covering 76 availability zones (AZ) in 24 geographic regions, and has announced plans to build 3 new AWS regions and 9 availability zones in Indonesia, Japan and Spain. Millions of customers around the world, including fast-growing startups, large enterprises and leading government agencies trust AWS to strengthen their infrastructure, improve agility and reduce costs through AWS services. For more information about AWS, please visit: //aws.amazon.com .