:::

【2022 Solutions】 OSENSE Technology Qubby AI customer service helps enterprises comprehensively upgrade from customer service to knowledge management

"What are your business hours?" "What are the functions and features of the product?" "What discounts are available now?" "Does the product have a warranty?" "Does the manufacturer cooperate with the product for repair?" From the perspective of consumers, every inquiry is a unique customer experience, but from the perspective of companies, 90% or more of these questions are repeatedly asked every day. OSENSE Technology's Qubby AI customer service can help companies seize the opportunity to continue to provide high-quality customer services every time they come in contact with customers, and optimize service processes through AI to create an efficient service team.

Taiwan’s first IM/SNS virtual human real-time interactive voice AI customer service: Qubby AI

The information age has caused changes in consumer behavior. Companies have deployed online and offline platforms, such as official website apps for their brands, physical stores, distribution channels, and third-party e-commerce, to increase channels for contact with consumers. However, this has created a greater workload for customer service personnel, who need to monitor even more channels to provide timely services. OSENSE Technology's Qubby AI customer service helps enterprises integrate and manage multiple platforms, such as websites, LINE, Facebook Messenger, WhatsApp, and multimedia interactive machines, with a single account. The service supports 29 languages and serves domestic and overseas customers 24/7, building good relationships by meeting customer needs and creating an endless stream of important and valuable customers.

Qubby AI customer service features: Saves training time, standardized AI response, supports IM/SNS, improves customer service efficiency, optimizes the service experience, and the web page is applicable everywhere.

▲ Qubby AI customer service features: Saves training time, standardized AI response, supports IM/SNS, improves customer service efficiency, optimizes the service experience, and the web page is applicable everywhere.

Efficiently create enterprise-specific AI customer service in 3 steps, eliminating the need for design QA

OSENSE Technology has condensed the establishment of Qubby AI customer service into three steps based on its years of experience with domestic and overseas projects and strong technical capabilities, so as to help enterprises build efficient teams. The first step is to create an image and personify the corporate image. Upload a profile photo, create a realistic or anime-style 3D virtual person, or customize a real person image, transforming the one-way corporate communication model in the past into a two-way interactive service model. It not only improves brand favorability among customers, but is also an indispensable part of creating warm services. The second step is to select the voice. Qubby AI customer service can interact with customers through text, preset Q&A, and voice. For voice, users can choose the system's preset AI voice, or use AI to clone a real person's voice. It supports the conversion of 29 languages, and is like customer service personnel providing services in person, increasing customers’ trust in the brand. The third step is to establish a knowledge base. An AI brain knowledge base can be created by simply uploading a PDF file. For languages supported by AI translation for Chinese text, there is no need to design questions and answers one by one. The AI machine trains and learns corporate and product knowledge, automatically extracts knowledge related to user questions, and integrates knowledge for responses, greatly shortening the development and training time.

Another feature of Qubby AI customer service is that it can incorporate "personality," such as liveliness, confidence, and gentleness, into the character, and give it "ambition" and "mission," making the customer service more flexible and closer to the corporate brand image. Combined with industry Know-How, it can also become an industry-specific AI customer service application. For example, Qubby AI DentalGPT, Taiwan's first AI customer service specifically developed for dentists, has been trained into an exclusive AI model and database of dental knowledge, health education information, and common issues of clinics, and was integrated into a convenient and easy-to-use package.

Companies only need to follow 3 steps: Create an image, choose a voice, and build a knowledge base to quickly create an exclusive Qubby AI customer service.

▲ Companies only need to follow 3 steps: Create an image, choose a voice, and build a knowledge base to quickly create an exclusive Qubby AI customer service.

Qubby AI's diverse applications help enterprises comprehensively upgrade from customer service to knowledge management

Qubby AI customer service has been used a wide range of industries, such as the healthcare industry, financial industry, electronics industry, conference and exhibition industry, education industry, department store retail industry, public relations service industry, and celebrities. The services range from external product sales, event promotion, and customer service to internal HR assistant, knowledge management, compliance, technical maintenance and applications. It has become the most intelligent, efficient, and direct business partner for enterprises.

In addition to helping optimize the service process, allowing personnel to focus on solving truly difficult and valuable problems, Qubby AI’s back-end data records the number of times, the time, platform, device, and conversation history of customers using AI customer services, and can export the data. Insights into customers can be further discovered from the conversations, and create new types of services to seize business opportunities.

The Qubby AI customer service back-end completely records user information and data.

▲ The Qubby AI customer service back-end completely records user information and data.

A free 14-day trial offered to find distribution agents to jointly expand domestic and overseas markets

To assist enterprises with digital transformation, OSENSE Technology’s Qubby AI customer service offers a free 14-day trial, which provides AI text and expected voice customer services, AI knowledge base construction, a limit of 6,000 messages per month, and 3D virtual human default character to reduce enterprises’ doubts about the AI solution. Aside from its efforts to further develop Taiwan’s market, OSENSE Technology is actively expanding into international markets, such as the United States, Japan, and Southeast Asia. In January 2024, it has signed a contract with the largest clinic management system developer in Southeast Asia to bring Qubby AI customer service southward, hoping to provide comprehensive AI digital services and solutions to medical institutions and people of  Southeast Asia, creating better healthcare experiences and expanding the smart healthcare ecosystem.

AI is ushering in a new industrial revolution. According to Gartner’s estimates, there are approximately 17 million customer service personnel working in customer service centers around the world. 95% of the cost of a customer service center is from personnel. Even if 10% of the service volume is automated, tens of billions of U.S. dollars can be saved every year. Based on the 2023 Taiwan Industrial AI Survey released by the Artificial Intelligence Foundation, nearly half of Taiwan’s companies still have not used AI services. This shows the huge AI business opportunities. OSENSE Technology is thus actively seeking distributors and agents to jointly expand domestic and overseas markets.

Recommend Cases

【解決方案】AI也懂行銷太米科技個人化推薦服務助時尚電商提升3倍轉換率
AI Understands Marketing?! Tammy Technology's Personalized Recommendation Service Helps Fashion E-commerce Increase Conversion Rates by 3 Times

Having experienced small to medium-sized e-commerce, founders and CEO Zi-Hao Huang and co-founder and COO Yi-Ting Li of Tammy Technology decided to tackle the marketing challenges of all e-commerce personnel using AI technology Focusing on fashion e-commerce, Tammy Technology's personalized recommendation SaaS Software as a Service helps small to medium enterprises tackle the rising costs of marketing and the overwhelming data, enhancing conversion rates and average order value, becoming an invaluable AI assistant in the fashion e-commerce industry Enhancing conversion rates has always been a major challenge for all e-commerce platforms Unlike major players like Google and Facebook who collect browsing history to target interested messages or advertisements, smaller e-commerce businesses lack the resources and manpower to construct data analysis systems or tools Company Position Marketing technology team for small and medium-sized e-commerce utilizing AI to establish automated marketing Established in 2016, Tammy Technology initially aimed to become 'the marketing technology team for small to medium-sized e-commerce,' hoping to resolve challenges of low conversion rates and customer retention through data analysis and personalized recommendation services 'Daniel referring to Zi-Hao Huang and I have both worked in small to medium e-commerce I handled branding, marketing, and design, while he managed backend systems, project management, and development launches, almost everyone was multitasking' Understanding the pain points of e-commerce operators, they decided to help small and medium enterprises by developing automated marketing systems and a personalized recommendation SaaS, aiding those with limited marketing resources Through AI technology, analyze consumer purchase preferences and provide personalized recommendation services By analyzing each consumer's purchase preferences using AI technology and storing their digital footprints in the backend for data analysis, Tammy Technology stands apart from traditional recommendation systems that categorize customers They offer personalized product recommendations based on each individual's style preferences to achieve precise marketing objectives Yi-Ting Li emphasizes that Tammy Technology's personalized recommendation service has two main functions one is to make website personalized recommendations, and the second is to integrate with marketing channels such as email, SMS, and chatbots chatbot to send personalized promotional messages When consumers enter the official website, based on consumer profiles and preferences, different product recommendations can be provided on each page Individual products also have different recommendation systems on different website pages, providing each consumer with a unique shopping experience after entering the site Using deep learning AI technology, Tammy Technology analyzes consumer behaviors at various online shopping touchpoints through various devices, digitalizing all consumer behavioral data to build consumer profiles For example, a consumer with high purchasing frequency designated as VIP, whose preferences for Morandi color schemes, lace materials, high-neck styles, etc, are recorded and tagged When browsing the store's website, the website will recommend corresponding products based on these purchase preference tags for VIP, and can also set customized discounts and pop-up windows, or send personalized messages through mobile SMS, email, etc, ensuring each customer receives discounts that fit their needs At this stage, Tammy Technology's client base includes male and female apparel, shoes, accessories, cosmetics, and other fashion design industries with a strong personalized color Many clients have seen significant results after introducing personalized recommendation services For example, Shu Uemura under the L'Oreal Paris group, specializing in high-performance skin products and trendy makeup products and professional makeup tools, experienced a significant increase in conversion rates by 3 times and a revenue increase of 18 times after adopting Tammy Technology's service Additionally, the well-known apparel business iRoo, after installing a personalized recommendation system on the official website and integrating digital marketing channels like Line and Chatbot, saw the conversion rate rise more than 5 times, with a monthly revenue increase of 21 The pricing model is subscription-based, with large corporations being charged based on specific feature needs The overall effect after customer usage achieves at least a 3 times increase in conversion rate, and an average of 2 times growth in average order value New client base After apparel and cosmetics, pushing into the home decor industry Despite the overall increase in e-commerce sales, the personalized recommendation service has shown impressive results However, due to the pandemic, non-essential fashion industries have been impacted Tammy Technology, which primarily relies on the fashion design industry, saw a decrease in e-commerce performance by about 30 during the pandemic To diversify operational risks, starting from 2022, Tammy Technology expanded its service clientele to include distinctive, quality-type home furniture and living products As for why not expand the client base to 3C products Yi-Ting Li explains, 3C products focus on cost-effectiveness and brand strength, like Apple computers which have a loyal group of fans, making it challenging to sway their purchasing behavior However, apparel, cosmetics, and home decor focus on personalization, style, and taste, like apparel with the fast, short-term 'fast fashion' trends, updating products weekly, and seasonal characteristics, updating personalized recommendations every 3-5 days and cosmetics, including makeup and skincare, which have high customer loyalty and repurchase rates, are most suitable for recommendations and proactive discount messaging Makeup and outfits represent personal taste, thus these two industries can complement each other in personalized recommendations To accelerate the process of integrating businesses with personalized recommendations, it is necessary to establish an SOP,' Yi-Ting Li continued, 'Tammy Technology, by introducing recommendation services in the fashion design industry, has constructed a service process SOP to facilitate rapid successful experience replication, expecting to quickly integrate into the life and home industry in the second half of the year New business model Establishing a new marketing model centered on the consumer Currently, Tammy Technology's client number has exceeded 2000, including globally renowned fashion brands like L'Oreal and BLUE WAY The future focus will remain overseas, aiming for markets like Hong Kong, Singapore, and North America Tammy Technology, with its successful experience of integrating recommendation systems into fashion e-commerce, has gained investors' favor, securing investments from domestic and international accelerators in 2021, raising a total of 70 million New Taiwan dollars, allowing for workforce and scale expansion Future plans include integrating investor resources to establish a new marketing model centered on consumers Tammy Technology co-founder and COO Yi-Ting Li「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】洞悉消費者行為 智能演譯運用AI協助餐飲業順利轉型
Insight into consumer behavior and intelligent interpretation using AI to assist the catering industry with smooth transformation

In May 2021, due to the local COVID-19 outbreak, a ban on internal use was adopted, making the catering industry feel like it has entered a cold winter, with business bleak and operations facing difficulties However, there are also catering companies that have turned the crisis into an opportunity and actively carried out digital transformation, introducing online ordering and delivery platform systems, establishing customer membership systems, etc, to effectively reduce inventory and increase sales Intelligent Interpretation, a new start-up company established just one year ago, acts as a transformation consultant for the catering and retail industry, collecting, connecting and analyzing consumer behavior data to provide the best solutions for the cateringretail industry Li Qihan, the founder of Intelligent Interpretation, is good at online marketing and website construction As AI technology continues to evolve, he graduated from the Northern Phase II Manager Class of Taiwan Artificial Intelligence School AIA and was impressed by the large number of website sales Data and marketing analysis data can help companies improve their competitiveness and reduce operating costs Therefore, we established an intelligent interpretation company with Taiwan Artificial Intelligence School alumni, hoping to use member information to start collecting more first-party data to help customers build customer vision Analyze the data and identify relevant sales opportunities Targeting the catering and retail industries, intelligent interpretation helps stores use AI to transform "There are many small and medium-sized restaurants in Taiwan We hope to help these small and medium-sized restaurants use simple cloud services and social tools, such as Line, to start collecting and establishing member information systems and collect relevant information Consumption data is used to establish behavioral models of different consumers" Li Qihan went on to say that the catering and retail industries will be targeted at the initial stage, and different consumption behavior analyzes will be used to help stores further increase the frequency of customers visiting the store and the frequency of dining or purchasing, and reduce the use of ingredients Preparation costs The main features of the AI service of intelligent interpretation Affected by the ongoing epidemic, which has severely impacted the performance of physical stores, intelligent interpretation also assists physical stores in establishing e-commerce websites or shopping malls, combining physical and virtual consumption data to provide 360-degree OMO consumers Analysis, and can send marketing messages to different consumers, reducing the large-scale and indiscriminate casting of traditional marketing methods that cause customers to blacklist merchants or block lines, and also increase consumers' willingness to click and purchase Will Li Qihan pointed out that the AI service of intelligent interpretation has the following characteristics 1 Use LINE combined with membership system 2 Use QR Code to replace membership card 3 Provide LINE online orderingreservation 4 Use AI to analyze consumers’ personal preferences 5 Send coupons based on consumer behavior and preferences Using Line ordering information, you can understand consumer behavior such as consumer type, taste, time period, ordering frequency, etc, find consumers of the same group, and conduct summary analysis, which is important for one-to-one customized marketing Reference Li Qihan emphasized that the cost of digital marketing at this stage is very high If there is no classification and grouping after acquiring customers, preferential information will be distributed randomly and easily blocked by consumers The conversion rate will become lower and lower, and the marketing budget invested previously will be in vain AI combines the advantages of MarTech to provide exclusive customized services Although Intelligent Interpretation is a new startup that has been established for nearly a year, in terms of the company's future development strategy, Li Qihan hopes to use MarTech combined with the advantages of AI to first assist the catering and retail industries that are currently most in need of digital transformation Quickly enter the first stage of digital transformation, establish member information and collect consumer data, and then assist these companies to enter the second stage of digital transformation, analyze and use these consumer data, and provide exclusive customized services Li Qihan said that Taiwan’s MarTech market still has considerable room for development Most companies think that advertising on the Internet is the so-called MarTech, or that combining website data with advertising conversion rates and looking at the GA report Google Analytics every day is the so-called MarTech However, he believes that the above situation is only It stops at the collection and analysis of marketing data and is not integrated into the corporate sales and management levels In fact, after the data is collected, it still needs to be integrated, analyzed, and applied according to individual business scenarios This is the real MarTech application method Li Qihan, founder of Intelligent Interpretation, shared his smart retail experience at the AIGO forum As for most companies that believe that as long as they have data, AI algorithm analysis can solve all problems, Li Qihan suggested that companies should have a correct concept of data First, it does not have to be big data AI algorithms can also work with small data Great effect 2 Data is accumulated year by year To collect information, you need to understand the purpose and needs After collecting data, you need to find out its correlation That is to say, first define the use situation and the problem you want to solve, collect data, Only by analyzing data and using machine learning to identify undiscovered sales opportunities can we start to provide marketing application suggestions "The key to the success of using technology for digital transformation lies not in technical issues, but in concepts AI is not a magic pill that will take effect after taking it AI is more like a health food and must be taken continuously to help adjust the corporate body" This is Li Qihan realization He also mentioned that there is an 8020 rule in customer management How to define the 20 customer group What is the definition of VIP customer What issues does the company want to analyze What data should be disassembled It is necessary to peel off the cocoons layer by layer and clarify the above issues one by one This is the "basic project of the sewer" If the foundation is stable, there will be no problem in building a few more floors on top The Industrial Bureau of the Ministry of Economic Affairs’ AI problem-solving competition creates a win-win situation for enterprises and innovations Intelligent Interpretation has assisted the internationally renowned catering chain Din Tai Fung to participate in the AIGO "Problem Solving" competition of the Industrial Bureau of the Ministry of Economic Affairs It understands that almost all catering industries have problems with how much to prepare Many times, when there are too many guests, there is insufficient preparation There are fewer customers, resulting in a waste of ingredients Therefore, it is very important for restaurants to predict the number of customers every day Intelligent interpretation suggestions can be based on weather, store location, and special holidays such as Valentine's Day, Mother's Day, etc through AI , special time parents’ birthday, wedding anniversary and other data correlation analysis, the estimated number of guests is expected to increase the accuracy by more than 80, effectively using AI to solve the problems of catering operators Restaurant Consumer Service Flow Chart Li Qihan pointed out that "industry problem solving, new innovation problem solving" can help enterprises and AI startups find common goals, and also solve the dilemma of new startups not getting usable data, and provide identification through matchmaking on the enterprise side Based on the data, AI startups can put algorithms into practical application, and enterprises can also get solutions for digital transformation, creating a win-win situation After the epidemic, digital transformation is related to the life and death of enterprises How should the cateringretail industry choose AI companies and introduce them Li Qihan, who currently serves as an AIGO smart retail coach for the Industrial Bureau of the Ministry of Economic Affairs and a number of AI consultants, said frankly that if data analysis does not have a certain degree of understanding of AI and practical implementation experience, there may be a high chance of failure in project execution In the retail industry, when it comes to choosing an AI project company, it is best to choose a company that has actually introduced AI projects or has experience in operating e-commerce The recommended principles and steps for introducing AI into the cateringretail industry are If the problem the company asks is too big, it needs to continue to dismantle it Because different problems naturally require different ways of collecting data, with the help of consultants step by step After dismantling, use the data collected according to the usage situation to analyze, and you will naturally get the answer to the problem you want to solve After you find a certain accuracy, you can then use transfer learning to solve similar problems one by one Looking to the future, Intelligent Interpretation hopes to become the number one AI company in Taiwan in the catering and retail industries, using simple and practical methods to help the catering and retail industries implement AI and improve the competitiveness of Taiwan's industry「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】滴水不漏的智慧工安巡檢 鑫蘊林科Linker Vision的影像分析AI平台 創造巡檢時間從100分鐘降至3秒新紀錄
Watertight smart industrial safety inspection Linker Vision’s image analysis AI platform sets a new record of inspection time reduced from 100 minutes to 3 seconds

With the rise of smart manufacturing, there is a demand for industrial safety inspections in high-risk industries such as chemical, energy, and electrical industries Take pipeline inspection in the chemical industry as an example It relies heavily on manual regular inspection and monitoring, and lacks intelligent monitoring by a professional AI team This is not only time-consuming and labor-intensive, but may also cause accidental risks to employees in various industrial safety environments The image analysis AI platform developed by Xinyun Linke not only improves employee personal safety and reduces risk factors, but also significantly reduces the time for human visual inspection of pipeline abnormalities from an average of 100 minutes to 3 seconds Paul Shieh, founder and chairman of Linker Vision Co, Ltd Linker Vision, said, "The overall technological development and progress in the United States comes from entrepreneurship Linker Vision's original intention to start a business in Taiwan has been I hope that through my past experience in entrepreneurship in the United States, I can introduce the American entrepreneurial spirit and culture to Taiwan's budding entrepreneurial fertile ground and truly implement it "American entrepreneurial culture encourages employees to value ownership and emphasizes that employees regard themselves as owners of the company Be a part of the company, with a work attitude and spirit that would be better than mine The company's achievements are your own achievements, breaking the original employer-employee relationship The company will reward outstanding employees with stocks, share the glory together, and establish a partnership with employees Partnership On the other hand, Taiwan still has room for efforts in entrepreneurial culture and management, and it retains the traditional thinking of employers and employees It is expected that Xinyun Linke's establishment of American entrepreneurial culture and values in Taiwan will serve as a starting point to drive more domestic new companies to follow suit, and then Only by upgrading the business constitution of new software AI entrepreneurs can they break out of the cocoon and go global Facing the market, most international players focus on developing AI models and algorithms They are less willing to invest in data-centered Data-Centric AI services They think that processing large amounts of 2D or 3D data is quite time-consuming It’s also energy-consuming Seeing the gap in AI technology and encouraged by Microsoft, Xinyunlinke decided to fully invest in Data-Centric's AI technology layout and deep roots many years ago, and specialize in technical energy in data processing, filtering and accuracy Therefore, Become an important partnership with Microsoft for AI technology supply In addition, due to the gap in industrial demand, domestic large factories, whose strength is chemical manufacturing, still rely heavily on manpower for inspection of pipelines in the factory, which is time-consuming and labor-intensive However, in order to cater to the AI industry, the owner reorganized the IT department originally engaged in database management and control into an AI team However, due to the owner's lack of professional experience in AI software technology, AI models and related domain know-how, the owner introduced AI implementation Industrial safety monitoring in the chemical industry is even more challenging The world's first AI automatic labeling technology surpasses manual labeling and can visually identify objects with an accuracy of over 95 In terms of AI technology power, Xinyunlinke has launched the world's first dual-core innovative technology of automatic labeling Auto-labeling and automatic machine learning to create an efficient and stable image analysis AI platform to provide customers with the best Advanced and complete AI solutions In terms of automatic annotation, this AI technology can overcome the most difficult challenge in deep learning, which is to provide customers with the highest quality training data Taking self-driving cars as an example, how to enable one self-driving car to effectively identify another car is the importance of labeling In the past labeling methods, we first needed to collect digital images of millions of vehicles, roads, signs, and pedestrians, and spent a lot of manpower Manually labeling one image at a time was time-consuming, labor-intensive, high in labor cost, and inefficient Through automatic labeling AI technology, combined with automatic machine learning to automatically label digital images, AI can exclude human error labeling and then throw the correct data into the vehicle's brain for vehicle identification Compared with manual labeling accuracy of only 60, the accuracy of automatically labeling and identifying objects with AI can be as high as over 95 It can also reduce manual labeling time by more than 80 and save at least 80 of labor costs AI automatically marks AI behavior recognition for high-altitude operations In the automatic machine learning part, Xinyunlinke established an AI visual model with continuous learning capabilities to adapt to data changes By optimizing the overall development process, from AI data ingestion and filtering Data Selection to AI labeling AI Labeling , model training and verification, deployment and monitoring, so that AI computer vision can continue to learn more quickly and easily Automatic machine learning can currently be applied to different business cases such as object identification and counting, personnel entry and exit security detection, product defect detection, people flow identification, product shortages on shelves, etc Looking at domestic companies such as TSMC, Formosa Plastics and Hon Hai towards intelligent AI management and purchasing a large number of cameras to meet the image recognition needs of industrial safety surveillance, coupled with the introduction caused by the unfamiliarity of existing customer organizations with AI applications Thresholds and preliminary preparations for image recognition include complicated workflows such as data screening and annotation To this end, Xinyunlinke has been committed to accelerating the development of AI computer vision applications in recent years, providing client-to-end services, and can flexibly deploy according to customer needs Complete automated AI solution services in the cloud, on-premises, or cloud on-premises Xie Yuanbao said that the AI automation technology process provides data selection Data Selection AI technology through domain-type pictures given by customers, helping customers automatically filter out precise such as 10,000 transactions from a large amount of data such as 1 million transactions Data, and by using the AI algorithm technology of Auto-Labeling to replace manual labeling, it can effectively save customers a lot of labor costs and achieve efficient data labeling processing In addition, the AI technology of automated machine learning can help clients customize automatic AI model training or repeated training when the factory environment changes, providing more accurate AI models and allowing customers to operate autonomously Through the above-mentioned key features and advantages of the automated AI technology provided by Xinyunlinke, we believe that it can definitely meet the needs of customers for an automated end-to-end AI independent learning platform, and at the same time, it can significantly save customers the cost of AI team establishment In terms of technological competitiveness, in addition to providing the chemical industry with AI image analysis applications in smart industrial safety, Xie Yuanbao said that Xinyunlinke can also extend the process application of automatic annotation and automated machine learning to different industrial landing services, such as Various fields such as self-driving cars, smart warehousing self-propelled robots and self-driving 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 streaming It has four major functions detection, event notification, defining customer-specific AI models and continuous learning In the real-time AI stream detection part, the Vision AI system can use the customer's factory camera combined with the AI module to perform real-time stream detection of AI image events It can help customers manage various operations and factory environments and keep track of them anytime and anywhere Various work situations in terms of event notification, the Vision AI platform can provide a web version or APP or LINE instant messaging software to provide customers with video records of the events at that time, so that the team does not miss any events, maintains daily production capacity and reduces accidents in defining customers In terms of exclusive AI models, a variety of basic AI models are available, including 8 detection scenarios electronic fences, personal safety equipment, construction safety equipment, construction operations, personnel 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 on the road of entrepreneurship, and I lose my ability to solidly accumulate financial independence Regarding the business promotion challenges of Xinyun Linke, Xie Yuanbao said with emotion that because the Taiwan market does not have a deep understanding of AI software applications, it relies more on open source AI visual analysis or machine learning and other resources on the market, but in fact These AI technology resources are limited in their ability to support customers' AI model needs, resulting in uneven quality of AI visual analysis software in the market Therefore, the impact is more indirect on Xinyunlinke's ability to truly provide customers with professional and data-centric AI image analysis services, and it also reduces the company's original business value in customer reference In terms of technical research and development challenges, the visual analysis AI platform cannot rely solely on AI model experts It must gather talents in various fields such as cloud, machine 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」