"In the era of big AI, machines will help humans simplify complex tasks and handle tasks that are beyond human reach" With 20 years of experience in text mining, Song Hao, general manager of Blue Planet Information Company, firmly believes , under the trend of "open data" Open Data, open data is definitely a treasure worth exploring Through text mining and AI technology, Blue Planet uses "COUT" to build a huge corporate network, helping banks and bidding agencies fully understand customers and supply chain manufacturers, and effectively reducing business risks According to statistics from the "2020 Small and Medium Enterprises White Paper", the number of small and medium-sized entrepreneurs in Taiwan in 2019 was 1491,420, accounting for 9765 of all enterprises, an increase of 172 from 2018, setting a record in recent years In the face of numerous small and medium-sized enterprises and new start-ups, whether it is a bank that needs to "know your customer" KYC or a government bidding unit that needs to select suppliers, it is a very time-consuming and labor-intensive task " It takes an average of 12 hours for a bank to produce a due diligence report The "actual report" can be shortened to 1 hour After conducting on-site visits to multiple banks, Blue Planet Information found that in the past, when a bank conducted due diligence on a single customer, it needed to first collect dozens of information from the Judicial Yuan, the Ministry of Economic Affairs’ Industrial and Commercial Registration, the International Trade Bureau, and media news The relevant information on the website is then sorted and reviewed until an audit report is produced, which takes a total of about 12 hours of labor costs However, through the "Report COUT" business history inquiry system developed by Blue Planet, using automated technology, all verification matters can be completed with one click without any gaps, and the time to complete a report has been reduced from 12 hours to 1 hour Save more than 80 of time costs The Blue Planet team is committed to saving customers the trivial time that technology can do for them As an information company officially transferred from National Taiwan University, Blue Planet was formerly the RD team of National Taiwan University Information Technology Institute Since 1996, in order to preserve long-standing and precious archives, the national government has cooperated with National Taiwan University to implement the "National Digital Collection Project" ”, using text analysis technology to digitize various collections stored in libraries, museums, art galleries, etc The research quenching during this period has also laid a solid technical foundation for Blue Planet "Fact Report COUT" contains more than 3 million public offering information, ranging from food stalls, studios, small and medium-sized enterprises, large enterprises, and even companies that have ceased operations and completed liquidation Including the 15 million judgments of the Judicial Yuan, as well as various news, forums, communities and other information, a total of more than 100 million pieces of data are stored in the database Song Hao pointed out that because Blue Planet started out with Chinese text exploration, in addition to structured data, the team is better at unstructured data, such as news reports, referees, etc Accurate analysis requires a considerable technical threshold, so they Having a competitive advantage, it is not easy for latecomers to catch up Especially once the court's judgment documents involve enterprises and trade transactions, there are often huge business connections hidden in them Deep learning and AI algorithms need to be used to turn them into structured data, in order to further uncover the hidden relationship links Business risks are everywhere "True Report" Automated AI algorithms significantly reduce risks The customer base of "COUT" is mainly divided into three categories The first category is the financial industry that needs to conduct due diligence and credit investigation on customers the second category is government units that often invite external tenders and the third category is the general private sector The purchasing unit of the enterprise Song Hao said, "Business cooperation risks are everywhere, and the risks are especially high when encountering small and medium-sized enterprises" No matter at home or abroad, there are a large number of small and medium-sized enterprises, and information is difficult to collect In addition, international regulations on money laundering prevention and combating financial terrorism AMLCFT requirements have certain standards Whether it is financing or lending, banks need to conduct detailed checks on their customers through systems like "Report" Use exclusive semantic analysis technology to extract key words from the judgment and reveal corporate risks In addition, the government procurement department can handle hundreds of bidding cases in a day general enterprises have countless preparatory tasks when selecting procurement vendors If they rely on manual inspection, it can be said to be time-consuming and time-consuming If an automated system can be used to conduct a detailed investigation of the "net worth" of bidding and purchasing manufacturers, it will be able to reduce risks such as failure to perform contracts and work safety accidents in the future, and it will also be able to strengthen the reminder of whether they are good manufacturers or refuse to deal with them Using AI intelligent algorithms, Blue Planet exclusively developed "Business Network Diagram" and "Ownership Structure Table" to help uncover the intricate network behind the enterprise Song Hao further pointed out that taking Far East Group as an example, in the past, when conducting cross-shareholding analysis, bank due diligence personnel had to draw 200-300 relationship routes with bare hands However, with "real report", it only takes a few seconds and is complicated The cross-shareholding network can be seen at a glance Through the formalized process of data inventory, collection, and cleaning, key information is extracted to build a business network Another example is that there are many investment targets in the securities market If investors do not understand the company, the investment risk is quite high Through the "real report" business network diagram, they can smell out business clues, such as whether the company is What's more, the resurrected "shell companies" can also unearth the core figures and ultimate beneficiaries UBO hidden behind the related companies Regarding the situation where the person in charge, directors and supervisors sometimes have the same name, Song Hao said that AI will give different weights based on the similarity of the company's activity period and activity industry If the weight ratio is higher, the possibility of judging that they are the same person will also increase high Taiwan Open Data is at the forefront of the world and Blue Planet expects to open up new fields and markets within 5 years After many years of hard work, Blue Planet Information is now a leader in the field of text exploration in Taiwan Song Hao pointed out that when former Executive Yuan President Zhang Shanzheng was a political councilor, he vigorously promoted "open government data" and Taiwan's Open Data was at the forefront of the world, comparable to the United Kingdom and Japan Most of the Open Data information in China is text, while in European and American countries it is PDF files or scanned files, which cannot be easily textualized and even more difficult to add value to Therefore, Blue Planet Information seizes the opportunity to collect data from the government’s open data platform and apply it in value-added applications, allowing AI to combine big data from different fields, and is expected to open up new fields and markets in the next five years In terms of expanding overseas markets, Song Hao revealed that a foreign bank had approached him in the past, saying that it had multiple bases around the world and hoped to collect corporate information from 30 countries around the world Such an opportunity also allowed him to start I have been thinking about it, hoping to copy Blue Planet’s operation and service model in Taiwan to the world Therefore, the next stage of the company's operations is to study the data that can be publicly collected around the world, further promote the service model to overseas markets, and create an international business performance database Since its establishment in 2013, Blue Planet Information has continuously deepened its technology and moved the laboratory's research and development results towards commercialization Song Hao said that people who come out of the research laboratory usually have their own ideas and persistence in research, but after commercialization, they inevitably have to compromise with the reality He hopes that in 10 years, Blue Planet can be pushed to the road of public offering IPO , leading the team to become a technology leader and achieving the ultimate goal of becoming the "Light of Taiwan" in the software industry Dr Song Hao, General Manager of Blue Planet Information「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

With the Internet of Things, the demand for AI algorithms is becoming increasingly massive and complex The use of Edge AI, which can effectively reduce costs, enhance security, and improve execution efficiency, will become an inevitable trend Founded in 2018, Mantuo Technology's DeepMentor mainly provides miniaturized AI algorithm SaaS services It is a real solution provider on the market that can deploy AI algorithms running on cloud servers or GPU processors to the Edge Device level, maintaining an accuracy of over 99 while significantly reducing data movement and algorithm complexity Its exclusive and innovative Miniaturized Electronic Design Automation process MAT can shorten time, reduce costs, and still achieve an accuracy higher than 99, key for deploying cloud AI to Edge Devices Ten years of dedication, Mantuo Technology's miniaturization technology gains market attention After more than ten years of research and development in the laboratory, the founder of Mantuo Technology, Wu Xinyi, and his team's exclusive patent of the miniaturized electronic design automation process has resulted in over 20 international A-level papers and several awards including the Best Paper Award Mantuo Technology's technology has been recognized by the market, and in the past two years, it has won the 'Most Investment Worthy Award' at the 8th Yungu Cloud Leopard Incubation Demo Day and the 'Strongest System Innovation Award' with Chunghwa Telecom, as well as the '2021 G Camp International Link Award' and the 'YEZ International Accelerator Special Award' at the 5th 'International Innovation and Entrepreneurship Training Camp G Camp' organized by the Ministry of Economic Affairs in August 2021 滿拓科技獲得第八屆雲谷雲豹育成總決賽「最具投資價值獎」。圖左二為滿拓科技創辦人吳昕益。 AI algorithms are quite large mathematical models Mantuo Technology is focusing on future trends from the era of the Internet of Things IOT to the intelligent Internet of Things AIOT All kinds of terminal products will integrate AI to provide more powerful functions However, many AI algorithms are relatively complex and large, which cannot be integrated into existing terminal devices Therefore, Mantuo Technology developed an exclusive miniaturization technology MAT to optimize the algorithms, simplifying the complex algorithms so they can be incorporated into small embedded systems for easier interfacing with hardware equipment Indeed, what challenges do companies currently face when deploying Edge AI Mantuo Technology's Marketing Director, Yang Yuming, explains that in terms of hardware computation, the cost of GPUs is high, and due to power consumption and heat generation, they are not suitable for edge computing devices In terms of software, there is a lack of good solutions on the market, and most applications can only deploy lightweight simple AI models tiny AI, which are easily affected by climate or external environmental changes, significantly impacting accuracy Importantly, including major international manufacturers in their 2021 white papers, it is mentioned that accuracy can be immediately reduced by 5-15 during the compression process Mantuo Technology offers a complete Edge AI computing solution, with its exclusive and powerful miniaturization technology, which can reduce computational and data volume by 90 while keeping accuracy within 1, successfully deploying multiple complex professional million-parameter AI algorithms to edge devices Mantuo Technology's main customers target system manufacturers and software and hardware developers who want to upgrade IoT to AIoT Mantuo provides the DeepLogMarker software platform to help system vendors and developers quickly obtain miniaturized AI algorithms Through simple training and deployment, they can easily convert commercial IoT devices into AIoT products Yang Yuming stated that the company will launch the SaaS software platform service DeepLogMarker in the fourth quarter of 2021 The first phase will offer the nine most commonly used professional miniaturized AI algorithms, such as object recognition, posture detection, facial recognition, and age and gender algorithms, allowing customers to choose as needed Different AI functions can also be combined according to different usage requirements The platform adopts a subscription model, providing all AI developers, like engineers, startup teams, and device manufacturers, to download and use these algorithms SaaS platform services - simple subscription to use AI algorithms Specifically, customers only need to select the required algorithms on DeepLogMarker, and with a few steps, they can deploy the algorithms to the Edge AI hardware platform Customers do not need to spend a substantial amount of资金capital and time to build an AI environment, and even beginners in AI can directly access all kinds of AI applications needed on the DeepLogMarker platform Mantuo Technology provides professional AI models that have been miniaturized, allowing startup entrepreneurs and developers to subscribe to miniaturized AI algorithms and purchase the Edge AI box to interface with their IoT systems, thereby upgrading the IoT systems to AIoT systems Mantuo Technology is committed to becoming a SaaS software company in the Edge AI field By the end of 2021, it will provide a variety of Edge AI solutions and algorithms on the online platform, hoping to build a complete DeepLogMaker Edge AI user ecosystem Enterprises and cloud service providing platforms like Amazon AWS, Microsoft Azure, IC design companies, startups, and IoT device manufacturers can use the AI services from Mantuo Technology on the platform, to inspire various innovative applications, enhance AI value, and create business opportunities together 滿拓科技建構DeepLogMaker Edge AI使用者生態圈 At the same time, strategic partners with international SaaS operations experience are also welcome to join hands with Mantuo Technology Besides deepening the Taiwanese market, Mantuo Technology's services will also expand into East Asia and international markets such as the United States and Europe The ultimate aim is to significantly reduce the deployment cost of Edge AI, help in the widespread application of AI at a grassroots level, and broaden the applications of Edge AI in intelligent retail, smart manufacturing, smart home appliances, smart medical, and more Mantuo Technology believes that now is the best time for Taiwanese manufacturers to enter the Edge AI market Currently, major chip manufacturers such as NVIDIA, Intel, Qualcomm, NXP, and cloud leaders AWS, Google, Microsoft are all actively investing in this field If Taiwanese manufacturers want to break into the Edge AI market, considering the strengths of Taiwan's small and medium-sized enterprises, industrial manufacturing advantages, and government resources, unique value in software and hardware integration and technology is still the best leverage Finding the right entry point, Mantuo Technology hopes to become the key hub that connects international software giants' resources with Taiwan's hardware advantages Mantuo Technology's miniaturized algorithms enable Edge devices to perform more robust AI functions With the advent of the 5G era, the various AI intelligent application scenarios that everyone is looking forward to can truly materialize The current IoT products need to be fully upgraded 'Solving problems through system integration is solving problems from the root' Mantuo Technology's software and hardware integration solutions, including various AI silicon IP licensing and SaaS services, are expected to officially hit the market from the end of 2021 to early 2022, at which time the development of AI applications in Taiwan may show a different aspect Founder of Mantuo Technology, Wu Xinyi「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

The COVID-19 epidemic is raging Faced with the new digital normal that consumers are gradually becoming accustomed to, major digital technology applications and online integration and offline services have risen against the trend, which has also made efforts to build "MarTech" Marketing Technology Ecosystem's AiKu Intelligent Technology's performance has grown exponentially Wu Jianyu, Chief Strategy Officer of iKu Intelligent Technology, said that the company is committed to becoming the first brand in MarTech, and at the same time, marketing technology is also an emerging field that domestic and foreign investors are optimistic about AiKu Intelligent Technology has received a total investment of NT135 million so far We will continue to promote connectivity with investors and plan to enter overseas markets In fact, since its establishment in April 2018, Aikoo Intelligent Technology has been a rapidly growing technology start-up The number of employees has expanded from 17 to 85, and its revenue has doubled every year AiKu Intelligent Technology, which bills itself as a "marketing technology integrator," has been fighting a different battle than other startups from the first day of its establishment The era of working alone has passed Aiku Intelligent Technology must build a bridge between "marketing" and "technology", build a "MarTech" ecosystem, expand the technology marketing market through group fights, and establish coexistence and coexistence with alliance partners Rong relationship Serving as a bridge between marketing and technology to expand the MarTech ecosystem Wu Jianyu, Chief Strategy Officer of iKu Intelligent Technology, said that MarTech, as the name suggests, is the use of technology to solve marketing problems The epidemic has accelerated the pressure of digital transformation on enterprises, and the application of technology in marketing requires a large investment of resources At the same time, unknown psychological barriers and internal integration challenges must be overcome For brand owners, advertising agencies, media agencies and integrated marketing Consulting companies often face the dilemma of not knowing how to choose a business, because marketing methods that have entered the technological era, such as image recognition, IoT, detection systems, NLP, data analysis, etc, have extremely high technical content At the same time, brand owners often require one-stop all-round marketing services, including professional assistance from planning, system introduction, marketing application and effectiveness review Only integration can create maximum benefits Even if there are multiple systems or manufacturers cooperating in the process, through the integration service of iKu Intelligent Technology and the API system, it can be efficiently integrated and provide one-stop services for the brand Wu Jianyu, Chief Strategy Officer of Aikoo Intelligent Technology, said that the company is committed to becoming the first brand in MarTech On the other hand, iKu Intelligent Technology also plays a role as a bridge between marketing and technology The MarTech ecosystem includes service vendors, traditional integrated marketing partners and AI startups, etc, and has multiple functions of technology sharing, service sharing and joint services The MarTech ecosystem business model is a concept of "single integration and professional division of labor" It is coordinated by alliance partners with technology integration or brand integration capabilities, and other partners cooperate The overall structure requires the introduction of MarTech systems and consulting services Only with the input of program developers can the integration be carried out smoothly Ecosystem partners each have specialized strengths and can jointly develop new products and services For example, iKu Intelligent Technology cooperates with the well-known advertising technology provider OneAD to launch innovative conversational advertising that combines advertising playback with interactive advertising Dialogue helps brands deeply understand consumer needs and preferences Or it can cooperate with PicSee, Asia's largest URL shortening service provider, to integrate the service into the customer data platform to help companies interpret more consumer browsing behaviors AiKu Intelligent Customer cross-channel customer data platform helps data connection Conversational business applications strengthen data analysis and diversified focus applications There are two keys to the success of the development of the MarTech ecosystem First, there are people to coordinate and integrate service content Manufacturers in the ecosystem have their own solutions Coordinators can find partners in the alliance who can cooperate in providing services Another key factor is resource sharing After three years of efforts, the MarTech ecosystem has attracted more than 50 partners to join Business-driven alliance cooperation will continue to grow the business and exert market influence In order to lay out the data application market, in early 2021, iKu Intelligent Technology and TNL Media Group jointly established a new AI and data application company - DaEX Intelligent Technology This cooperation project is an important strategic value point for both parties Key Comment Network is thinking about how to more effectively apply and monetize the data of numerous readers Combining the strengths of iKu Intelligent Technology’s customer data platform and omni-channel marketing technology, it will be able to Brands provide innovative media and data integration applications DaEX will develop data analysis and data monetization, and is also expected to establish a media-specific data platform and media trading market in the future Talking about the hardships along the way since starting a business, Wu Jianyu observed that the marketing technology circle is a "Matthew Effect", where the strong will always be strong Many companies hope to play the role of building a platform In the first year of its establishment, Aiku Intelligent Technology The energy of resources and influence has just begun, and products are still under continuous research and development With the expansion step by step, after the establishment of the MarTech ecosystem in 2020, the scale has become larger and larger, and brand owners are willing to invest their media advertising budgets in Marketing technology, or the application of omni-channel retail, has also driven the revenue growth of iKu Intelligent Technology and the MarTech ecosystem At this stage, continuing to maintain rapid growth and exerting market influence is the biggest challenge for Aikoo Intelligent Technology It is an important goal to use a "business-driven" perspective to drive alliance members to cooperate independently in order to win more orders and continue to grow their voice The business model of iKu Intelligent Technology has been highly favored by investors In the past three years, in addition to the participation of Xin'an Tokyo Property Insurance Company and Jiaotong University Angel Investment Club in 2019, at the end of 2020, it also received investment from the National Development Fund and Japanese advertising listed company Adway Supported by Adways Group, it has received a total of 135 million yuan in funding The epidemic has catalyzed the digital transformation of all walks of life As a MarTech promoter, iKu Intelligent Technology continues to actively expand its layout and help companies seize opportunities in the fierce competition 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

In May 2021, at the Tai'an Elementary School campus in Taichung City, two drones quickly took off and sprayed disinfectant in the campus of Taian Elementary School in Taichung City, completing emergency disinfection of the entire campus in a single day The company using drone technology for epidemic prevention is none other than the Tainan-based Droxo Tech, which has been silently carrying out this technology-based epidemic prevention work for more than six months In fact, Droxo Tech was established in 2018 Members of the team are aerospace technology engineering experts Cheng-Han Hsieh, president of Droxo Tech, who was also a member of the Taiwan team in the 20th APICTA AWARS, said that Droxo Tech mainly develops drone technologies and applications, and is committed to using drones as vehicles to break through the existing technical framework In agriculture and industrial inspection, the company uses highly efficient customized drones to break through existing work patterns and solve problems, such as labor shortage and work hazards in industries Droxo Tech uses drones to carry out disinfection work on the campus of Taian Elementary School in Taichung City The global commercial drone market is expected to grow to US87 billion in 2025 According to statistics of Fuji Chimera Research Institute, as the unit price of drones decreases, drones will gradually become more popular, extending from their initial aerial photography function for general consumers to commercial products for agriculture, measurement, and logistics In terms of drone market size, global drone shipments was 39 million units in 2019, and are estimated to reach 418 million units in 2020 A report published by Global Information, Inc GII also pointed out that commercial drone services, such as photography, entertainment, surveying and aerial operations, disaster survey and relief, early warning systems, data collection and analysis, and environmental monitoring, have considerable profit opportunities, which are predicted to grow to US87 billion per year in 2025 Droxo Tech targets agricultural drones and industrial surveying in the commercial drone market Agricultural drones replace manual pesticide spraying and fertilization, and only needs six minutes to spray approximately 4,850 m2 of land, reducing pesticide use by 50 while achieving a control effect reaching 95 In addition, drones use AI spectrum NDVI image recognition technology to identify the growth status of crops, such as rice paddies, and establish an agricultural information system Industrial inspection drones are for offshore wind turbines, bridges, etc, recording 360-degree images without blind spots for big data analysis in the cloud Agricultural drones are responsible for spraying pesticides and collecting agricultural information, making them a good helper for farmers Cheng-Han Hsieh said that based on the global market observations, using agricultural drones to spray pesticides is a basic need, but the back-end agricultural information analysis is the indicator that is truly important If a data platform can be established, it will greatly benefit agricultural development and pest control In addition, the use of agricultural images combined with multispectral images and analysis of rice paddy soil and fertilizer content has produced concrete results in rice growth monitoring Based on empirical results of rice paddies in Meinong, Kaohsiung, the amount of pesticides sprayed by traditional farmers was double the standard Data analysis let farmers understand that they do not need to spray too much pesticide and it will not affect the quality and harvest The specific method is to record plant growth indicators and import them into the back-end system in coordination with the analysis Whether plants have pests or diseases is determined through back-end big data processing and analysis, monitoring of plant growth, and analysis of infrared images, and different amounts of pesticide are sprayed based on the data "In the past, farmers relied on the weather for their livelihood, but now they let the data speak for itself" Cheng-Han Hsieh believes that helping farmers accurately monitor the growth of crops and make correct decisions is the most important contribution of drones in collecting agricultural information for analysis Targeting agricultural plant protection machines and industrial inspection, Zoyi Technology integrates software and hardware to enter the international market In terms of industrial surveying, traditional industrial inspection has three disadvantages 1 Manual operations is dangerous2 The manual inspection takes too long3 Lack of third-party verification tools Drones overcome the three major disadvantages above Droxo Tech uses drones for bridge and wind turbine inspection First of all, in terms of bridges, traditional inspection requires hanging and inspection time is too long, manual operations are dangerous due to the strong winds Drones can take off at any time for inspection, and 3D models can be created using 3D image recognition, so that rust and cracks have nowhere to hide Drone operation screen The inspection of offshore wind turbines also faces risks such as climbing and hanging of manual operations and strong winds Using drones to replace engineers for inspection work is safe, effective, and convenient Droxo Tech focuses on drone technology Cheng-Han Hsieh said that the short-term goal is still to focus on agricultural drones, supplemented by collecting agricultural information for big data analysis, in order to provide more complete agricultural information to agricultural units as the basis for agricultural reformThe mid-term goal is to continue to improve the flight control system, strengthen the application of the control system in the field, such as automatic landing, automatic tracking, and activate mission schedulingThe long-term goal is to become an automation company specializing in the design of automated vehicles or automated monitoring equipment For example, drones used to spray pesticides are currently used in large outdoor areas, but greenhouses also have great demand Greenhouses with a planting area of 4,850nbspm2 also need to spray pesticides and harvest Since greenhouses are indoors, there is more interference with the drone navigation system After the control system is strengthened, automated guided vehicles AGV or automated design will be introduced indoors or in greenhouses, and the vehicle will be changed from drones to AGVs to solve the troubles of farmers Since Taiwan's agricultural drone market has a limited appetite, about 200 units per year, Droxo Tech also plans to develop overseas markets, initially selecting Southeast Asia and South America Palm trees in Malaysia are crops with high economic value, a large planting area, and have greater opportunity to use agricultural drones nbspAt the same time, in order to help improve the planting environment, Droxo Tech will also establish an agricultural information recording platform and export equipment and systems integrating software and hardware to overseas markets Zoyi Technology's general manager Cheng-Han Hsieh is a drone expert

The COVID-19 pandemic has accelerated the digital transformation of small and medium-sized enterprises SMEs However, the first step in this transformation is to create beautiful product designs and quickly list products online Using AI image recognition technology, Choice Technology has identified 'explosive' e-commerce designs, creating an AI workstation for retail e-commerce that features automatic object detection, background removal, and beautification For small e-commerce businesses with about 500-800 product items, this can save approximately 90 of the time It is an excellent tool for small and medium-sized retailers making the transition from offline physical channels to online virtual channels sales The meaning behind 'Choice' is 'Choosing the best tech experience for our clients' Liu Yi-Han, the founder and CEO of Choice Technology, hopes to leverage his expertise in image engineering to help SMEs with technology barriers achieve their dream of easily listing products on e-commerce platforms without needing to learn a multitude of tech tools Using AI image recognition technology, photos can be automatically background removed, saving time in photo enhancement E-commerce AI Workstation, from material design to e-commerce listing, get it done with one 'click,' fast and convenient Machine learning automatically generates 50 types of product recommendations for direct listing on e-commerce platforms with one click Since its foundation in May 2018, Choice Technology has used machine learning algorithms to collect millions of product designs on social media platforms like Instagram and the largest handmade marketplace Etsy, automatically generating 500,000 design recommendations Clients simply need to upload their product photos, and the AI tools at the e-commerce workstation perform background removal, background addition, and other image editing tasks Unlike the traditional method where retailers had to hire professional photographers and designers to prepare products for e-commerce, this approach saves time, money, and effort According to statistics, the average cost for photographing a product, arranging its layout, and designing it varies from 2,000 to 3,000 RMB per item For a product range of 1,000 items, the cost in money and time can be overwhelming for small and medium-sized e-commerce businesses Choice Technology draws product types from the sales rankings of major e-commerce platforms like Amazon and Shopify, selecting categories such as fashion apparel, catering food, home accessories, fresh fruits and vegetables, sports equipment, and nutrition amp health fashion, among others, with the largest category being fashion apparel, which accounts for up to 56 of sales on the Choice platform Furthermore, during the pandemic, consumers mostly opted for takeout or delivery services such as UberEats and Foodpanda, which has led to a surge in catering food, also becoming an important design recommendation on the platform With over 500,000 photos used to train the AI model, the strongest recognition capabilities are in home and apparel categories Choice Technology team, photo second from the right shows founder and CEO Liu Yi-Han Liu Yi-Han pointed out that after the pandemic, WFH Work From Home has triggered another wave of sales for delivery meals and home accessories In the future, the database will be adjusted dynamically based on the sales ranking movement of e-commerce platforms in terms of product images and attractive background scenarios Helping SMEs transform into e-commerce by offering the first month of rapid listing services for free The operating model of Choice Technology is based on a SaaS B2B model, charging based on the number of photo uploads, billed monthly, and catering to individual retailers, small to medium-sized customers, and corporate clients Since the pandemic, offline retail opportunities have been keen to transition to online sales The Ministry of Economic Affairs Industrial Bureau offers digital transformation schemes for SMEs by providing subsidies to help retailers transform Currently, Choice Technology provides the first month free of rapid listing services to small and medium-sized retailers using online tools like Google Forms for group orders, eventually integrating with e-commerce platforms such as Shopee and Shopify to save listing time, allowing retailers to focus on product quality, beautification, and marketing channel work Regarding the distribution of customers, Liu Yi-Han analyzed that Choice's clientele is divided into two types The first type are physical retail businesses new to e-commerce, who primarily need fast background removal and automatic lighting adjustments for their product photos, often preferring pure white or simple backgrounds The second type is medium to large enterprise brands, who require high-quality product photos with personalized designs suited for different festivals, such as pink items for Valentine's Day, which realistically enhance the shelf presentation and indeed have the potential to become 'explosive products' 'The technology for optimizing product photos is not the issue the challenge is creating suitable and high-conversion scenario photos' Liu Yi-Han stated that data collection and training are automated processes, and AI technology is quite mature The difficulty lies in efficiently collecting data with attractive, high-conversion scenarios for machine learning, requiring continuous dynamic extraction from the sales rankings of major e-commerce platforms Regarding the future business layout of Choice, Liu Yi-Han explained that the short-term goal is to assist physical stores with digital transformation, since many SMEs were severely affected by the COVID-19 pandemic, and moving sales online can help reduce the impact of the pandemic As for the mid to long-term goals, affected by the severe pandemic situation in overseas markets, Choice will first serve Taiwan customers well After the pandemic eases further, they will expand into the US and Southeast Asia markets Liu Yi-Han attended the 2020 MarTech Marketing Forum for a panel discussion「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

There is no doubt that AI helps factories become more automated However, the typical AI project takes up to 3 months Is there a solution that can quickly deploy AI technology to improve defect accuracy The answer is yes Customers include AUO, Chimei, TSMC, MediaTek, Macronix and other major electronics manufacturers Yirui Technology, which can be called the best helper of Taiwan’s “Sacred Mountains that protect the country”, has launched “AI service modularization” Modularizing various AI technologies, just like an ordering machine, allows customers to select whatever they need, which can help customers quickly deploy AI and achieve the goal of improving the speed and accuracy of AI projects Yirui Technology, established in 2004, started out by selling the anti-virus software Bakarski It is a professional information security and security company In 2015, it entered the AI field and developed the AI Vision intelligent image recognition system After 2018, it focused on We have accumulated considerable experience in smart image recognition applications at the factory, including license plate recognition, tank truck recognition, personnel and equipment inspection, smart logistics, smart operating machines, and smart unmanned factories Our customers include AUO, Chimei, and TSMC , MediaTek, Macronix, Formosa Plastics, Asia Cement, Far East New Century and other leading companies Various AI applications in Yirui Technology Smart Factory Yirui Technology’s professional technology has won the favor of international manufacturers "Every case of Yirui is not easy, that is because the experience of cooperation with large manufacturers makes our technology more powerful," Zhou Shihan, deputy general manager of Yirui Technology, said with confidence As far as Chimei Industrial is concerned, , the accuracy of defect detection is required to be as high as 995 or more Since Yirui Technology established its AI department in 2018, it has successively served dozens of factories Many customers hope to go online quickly and transfer the AI technology part back to the company so that internal employees can smoothly connect In response to this trend, Yirui Technology has launched two services One is a complete AI product CIC camera accuracy detection system to help customers detect camera abnormalities including disconnection, black screen, camera shift, occlusion, etc such as abnormal screen conditions, an alarm can be issued as soon as possible Another launch is the modularization of AI services The CIC camera availability detection system can assist the factory in monitoring thousands of cameras at a time In the past, employees in charge of monitor-related matters in the factory would regularly check the camera images manually with the naked eye This was not only time-consuming, but also often caused by The person in charge wears multiple hats, and the work of checking the monitor is not fully performed The greatest value of AI is to replace human labor to perform such simple and repetitive tasks Only one CIC host is needed, placed on the intranet, and the cycle can be set to check the health and proper status of the camera, and reports will be automatically generated for relevant personnel to check, greatly improving work efficiency Another concept of service AI service modularization is to turn the AI technology package into software, and the online execution of an AI solution that can be applied on the ground will usually be summarized into several stages 1 Confirmation of customer needs 2 Collection of training data 3 Pre-processing of training data 4 Data delivery for training 5 Algorithm writing 6 User interface writing 7 Database concatenation 8 Additional information will be provided later Taking these eight stages as an example, except that the algorithm writing engineer needs a long period of training, the rest can be done by the company itself or handed over to Yirui for execution Simple basic modules include license plate recognition, industrial safety equipment, etc, and are made into standardized modules As for tank trucks, processes, or the names of chemicals on tank trucks, complete modules can be planned according to customer needs , the customer purchases the "menu" by themselves If the client wants to go online on its own, Yirui Technology can complete the online version within a month, speeding up the customer's AI deployment process Yirui Technology’s AIVISION smart image analysis system is favored by major international manufacturers Yirui Technology currently has 32 employees, including nearly 20 AI engineers Unlike AI manufacturers on the market who can only make simple AI visual recognition, Yirui Technology has a large amount of past training materials, rich project introduction experience, and various identification methods It is 100 made in Taiwan and provides local services Generally, the recognition rate is higher and more accurate At the same time, availability is higher as customers’ demand elastically adjusts Traditional optical inspection has a high false positive rate AIAOI greatly improves yield and production line efficiency For Yirui Technology, AIAOI is also one of the modules Yirui engineers only need to provide a little training data, and they can achieve an accuracy of 80 in about a month, helping enterprises to use AI when it goes online The distance becomes very short In addition to the existing manufacturing plants, Yirui Technology has also entered the field of optics and cooperated with Xiaoma Optics to jointly develop advanced physical optical measurement methods and optical module design At present, most manufacturers will introduce AOI systems for production line defect inspection, but most of them use OCR optical character recognition, which refers to the process of analyzing and recognizing image files of text data to obtain text and layout information technology, which needs to be 100 The accuracy leaves no room for error, leading to accidental killings that often occur This time, Yirui Technology and Xiaoma Optics cooperated to install Yirui's AI system in the optical inspection instruments developed by Xiaoma Optics, adding AI algorithms to the optical detection of defects, and training AI model identification based on the data and needs provided by customers For the determination of defects, the accuracy of determination can be greatly improved, the yield rate can be improved, and the efficiency of the production line can be increased Yirui Technology CEO Zhang Yiyuan "As for AIAOI technology in the optical field, for Yirui, the environmental complexity factors of optical inspection are relatively low As long as the customer defines the defect clearly, the more accurate and detailed the information provided, the better the defect detection and identification The rate can often reach more than 98, and the operation time can also be shortened relatively" Zhou Shihan went on to say that for Yi Rui, the two most difficult parts are that the company's current manpower cannot take on too many AI projects at one time, mainly due to the self-requirements of engineers High, every project needs to be carefully crafted the second part is that large customers usually take a long time to consider their purchases This is why Yirui Technology changed the business model of AI projects to AI service modules and project information consultants Based on customer needs, we can sell modules or semi-finished products and quickly close the case to maintain the company's normal operations In addition to the Taiwan market, Yirui Technology has also extended its reach to the international market There are currently several projects underway in Thailand, one of which is the Royal Rama Hospital in Thailand Yirui is responsible for facial recognition and behavior of patients in the hospital Monitoring to prevent patients from falling, etc Another interesting case is the classification and identification of salvaged items from river garbage ships in Thailand, and the AI identification project of a major auto parts manufacturer Yirui Technology's AI image recognition technology has gradually been recognized and accepted by overseas markets Looking forward to the future, Yirui Technology hopes to expand its experience in AI visual recognition technology from 2D to 3D, and even extend it to audio and video recognition technical services, making Yirui Technology a comprehensive AI professional services company 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」