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【2020 Solutions】 Lean AI, open source intelligent manufacturing helps companies quickly build AI teams

Does AI cost a lot? Is importing AI time-consuming and labor-intensive? How to build consensus within the enterprise and build a solid AI team? All the above problems are common problems faced by enterprises in AI digital transformation. Huang Mingshi, the founder and CEO of the AI ​​startup Kaiyuan Intelligent Manufacturing Company, provides customized AI solutions on a "subscription basis" so that traditional enterprises that want to undergo digital transformation can quickly introduce AI solutions.

The term "Lean Production" appeared for the first time in the book "The Machine That Changed the World" in 1990. When it comes to business operations, there is no waste of resources. Phenomenon, the process operates smoothly and creates the most profit with the minimum investment.

AI subscription service solution to quickly assist in importing tools

Huang Mingshi graduated from Jiaotong University and received a PhD in Electrical Engineering from Penn State University in the United States. He also worked for a start-up company in Silicon Valley for five years. He was the chief data scientist and led a team of 10 people to develop multiple AI projects, including real-time image recognition. , 5G+AI, prediction system for dynamic expansion of cloud resources, etc. Huang Mingshi returned to Taiwan to start his own business and established Open Source Intelligent Manufacturing in May 2019. The development direction is to promote AI subscription services. He hopes to make AI practical and practical, help small and medium-sized enterprises with AI application needs, and accelerate the cultivation of practical capabilities. of AI talents.

Huang Mingshi believes that the scale of AI project software and hardware equipment, which can easily cost NT$2 to 3 million, is an "unbearable burden" for small and medium-sized enterprises with limited funds and human resources. However, for those who lack For small and medium-sized enterprises with limited resources, AI can indeed solve the problem of automation, reduce costs and improve efficiency for enterprises in a short period of time, and is an indispensable tool for digital transformation.

Therefore, Huang Mingshi follows the principle of "lean production" to prepare AI digital transformation tools for small and medium-sized enterprises, using small projects to get started, from corporate health clinics to identify problems, corporate training, consulting to providing AI model solutions. Done within a year. In the process of project promotion, we assist the company's middle- and high-level managers to empower them and help them understand the company's pain points, what problems AI can help solve, and introduce benefit analysis. By then, it will be relatively easy to introduce medium and large-scale AI projects.

Open Source Intelligent Manufacturing’s customized solution for the legal industry is the development of a “food advertising text recognition and analysis” tool. A medium-sized law firm wants to help clients solve the problem of "identifying food advertising violations." According to statistics, there are more than 4,000 cases of advertising violations in the food industry every month. The traditional method is to assign 2-3 lawyers to search for exaggerations or claims of efficacy in food advertisements published by major media. The cost of each lawyer is calculated at NT$5,000-10,000, which means the overall cost is considerable. However, by collecting relevant information through the crawler system, and then importing AI technologies such as natural algorithm (NLP) to develop food advertising text recognition and analysis tools, the recognition rate can reach 90%, which can also greatly reduce personnel costs.

In addition, Kaiyuan Intelligent Manufacturing has successfully applied face recognition to applications such as smart tourism and smart door locks, achieving an accuracy of 95%. It has also used graphic recognition to help digital advertisers achieve the function of AI image removal. , reducing the time designers spend on repetitive memorization by more than 80%.

It is worth mentioning that for designers, it often took 2 hours to memorize photos in the past. Using the AI ​​model, 1,000 photos can be memorized in 10 seconds, which is amazingly efficient. This means that designers do not need to spend too much time memorizing photos, and can use their time to come up with creative ideas. When photos are needed, they can use AI technology to quickly memorize them; for ordinary consumers, when making presentations ( When designing PPT, you can also use photos that have been reversed to speed up the presentation production time. In the future, it will also be connected to Google Flickr's personal photo album or image search, so that you can directly memorize the required photos and complete the task in one go.

At this stage, the open source intelligent manufacturing project is cooperating with APP manufacturers to remove the photos and create a free website to benefit more people working in the design industry.

Open source intelligent manufacturing development hair removal AI model, the effect is comparable to that of professional designers

▲Open Source Intelligent Manufacturing develops an AI model for hair back removal, the effect is comparable to that of professional designers

In the medical industry, Kaiyuan Intelligent Manufacturing has also developed obstetrics and gynecology organ image recognition technology and conducted education and training in schools to help students make correct judgments.

Kaiyuan Intelligent Manufacturing also cooperates with the Taiwan Suicide Prevention and Control Association to use AI models to find people who are emotionally distressed, have depression, or have negative emotions and comments on online forums such as PTT and social networking sites such as Facebook, and design Prepare a suicide risk assessment and submit relevant information to the Taiwan Society for Suicide Prevention and Control to prevent it before it happens and reduce possible tragedies.

Four-step import method to complete the goal within one year

In order to help small and medium-sized enterprises achieve the goal of AI application through subscription services, Kaiyuan Intelligent Manufacturing hopes to use methods to find enterprise pain points in the shortest time and at the same time enhance the commercial value of AI applications. The methods are as follows:

1. AI Discovery Workshop: Guide companies to explore their needs through workshops or corporate health clinics.

2. Enterprise AI training: The introduction of AI requires the full support of the company's senior managers and the consensus of all employees to be successful. Through a one-month training, it can quickly transform into an AI-empowered enterprise.

3. AI consulting: What is important is the technical feasibility assessment. Not a set of AI solutions can solve any problem. Different AI models must be established according to the different needs of the enterprise in order to prescribe the right medicine.

4. Subscribe to AI solutions.

Four steps of import method

▲Four steps of import method

Huang Mingshi pointed out that the services provided by Kaiyuan Intelligent Manufacturing are not a single solution, but customized AI solutions for enterprises. There is no problem with talents such as AI algorithms. What is more difficult is how to market this set of consulting services to customers in a simple way? Fortunately, Kaiyuan Intelligent Manufacturing has participated in the "AI HUB" and "AI GO" projects of the Industrial Bureau of the Ministry of Economic Affairs. Through the method of "industry raising problems and talents solving problems", we can understand the needs of enterprises, solve problems accordingly, and launch customer services. Customized AI solutions.

Open source intelligent manufacturing team in AI Won the first prize in the GO problem-solving competition. The picture (first from the right) is the founder Huang Mingshi

▲The open source intelligent manufacturing team won the excellence award in the AI ​​GO problem-solving competition. The picture (first from the right) is the founder Huang Mingshi

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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buses in future smart cities are all in line with the spirit of automated mobility of Mobility as a Service We look forward to the role played by Xinyunlinke The process of image annotation in different industries accelerates the efficiency of developing image recognition services in different fields We believe that by providing client-to-end AI solutions and a complete set of automated AI image analysis pre-operation processes from Data Selection AI technology, Auto-Labeling AI technology, and automated machine learning AI technology, we can greatly satisfy our customers The demand for AI autonomous learning platform Image analysis AI platform sets a new record for smart industrial safety inspections from 100 minutes to 3 seconds Seeing the high demand for industrial safety supervision in high-risk industries such as the chemical industry in recent years, Xinyunlinke launched the "Vision AI Platform", which uses AI image recognition technology Its main functions include real-time AI 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counting, screen availability, smoke detection, pipeline corrosion and damage , illegal stacking for use in different industries, customers can build exclusive AI models without spending time writing programs in the continuous learning part, the Vision AI system can provide customers with the performance and accuracy of AI models, and have the ability to adapt as the environment changes Continuous learning ability Vision AI has a simple user interface and intuitive operation For cross-field industries, this platform has automated and flexible AI capabilities Customers can build self-defined AI models without spending time writing programs, and Vision AI gives AI models the ability to continuously learn and improve, allowing customers to save the labor cost of building an AI team In addition, the platform can significantly reduce the manpower allocation for routine inspections required for operational safety management, improve employee safety in the working environment, and reduce on-site accidentsrisk factors at various work sites In the platform operation mode, customers can reduce the risk of manual monitoring operations through remote operations, ensuring normal work operations and uninterrupted production operations They can also review high-risk operating situations and collect data to assist in the planning and correction of operating processes In addition, in order to ensure that customers comply with government regulations, Vision AI can help customers control the equipment and safety regulations required in different workplaces at any time through the platform's event notification and management detection The image analysis AI platform is used in cross-field AI image recognition technology Generally, for industrial safety inspections in the chemical industry, most rely on the naked eye of personnel to regularly inspect pipeline abnormalities It takes an average of 100 minutes to scan an area each time, which is time-consuming and laborious, and the pipeline location is difficult to visually observe, which may cause Employees are exposed to accidental risks in various work safety environments In order to reduce the pain points of industrial safety inspections in the chemical industry, Xinyunlinke assists well-known domestic chemical industry players by using an automated image analysis AI platform, combined with customized virtual electronic fences, and using in-plant cameras to configure AI pipeline leakage modules , the AI automatic inspection method can effectively reduce the abnormal detection time to less than 3 seconds In addition, cameras deployed in the factory can automatically record inspection schedules to achieve full-time monitoring, allowing customers to instantly discover and fully control pipelines, minimizing risks In addition, the automated image analysis AI platform can help customers apply fire warnings in factories It is conservatively estimated that the return on investment can be less than 9 months to pay back the investment The longer the platform is used, the higher the cost-effectiveness Build an automatic learning image analysis AI platform for Mobility as a Service in various fields Xie Yuanbao observed that the biggest challenge facing the entrepreneurial culture of software companies in Taiwan is that young new entrepreneurs or employees in Taiwan do not understand the entrepreneurial model and lack the awareness to regard themselves as part of the company owners This has caused It is a pity that your future is unclear or you have a past-experience mentality that prevents you from staying competent in a new start-up company for a long time I believe that the essence of true entrepreneurship lies in every employee rolling up their sleeves and working hard, so that they can truly enjoy the fruits of entrepreneurial profits Otherwise, for young entrepreneurs or employees who often change tracks, it will be like a rolling stone that gathers no moss , I am unable to take a deep root 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learning, data science, front-end and back-end and other professional team combinations to make the platform operate successfully Xie Yuanbao said that he believes that only through the automatic learning of the visual analysis AI platform, automatic fast and accurate data processing capabilities, and providing customers with complete AI solution services in the cloud, cloud ground Hybrid to pure ground, can we truly Convince customers and stand out from the competition Looking to the future, Xie Yuanbao hopes that Xinyunlin Technology can build an image analysis AI platform for Mobility as a Service to automatically learn in various fields such as self-driving cars, smart warehousing robots, and unmanned buses in smart cities At the same time, I am also grateful to the support of the Industrial Bureau of the Ministry of Economic Affairs for the smooth landing of Xinyunlin Technology in Taiwan and the opportunity to recruit talents from all walks of life to work together In the short-term layout, the company will actively cooperate with domestic players such as Hon Hai and TSMC to implement image analysis AI technology in fields such as self-driving cars, smart industrial safety, and smart warehousing robots In the medium to long term, Xinyunlinke will target the United States, Europe, Japan and other countries as its global market layout, establish investment and cooperation partnerships with major international companies such as Microsoft, and replicate its successful experience and promote it internationally Xinyunlinke official website Xie Yuanbao, founder and chairman of Xinyunlinke 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」