"After the COVID-19 pandemic, even though we could not expand business overseas, the pandemic increased demand for AI automated optical inspection AOI and drove another wave of rapid growth in performance," said Jesse Chen, Founder and President of Spingence Technology The company started early in AOI and accumulated a wealth of experience, resulting in performance in 2021 growing multiple times compared with the previous year Spingence Technology's AI technology has great potential, and its fundraising plan successfully attracted strategic investors, such as the leading industrial computer company Founded at the end of 2015, Spingence Technology started out as a developer of automation software to help customers lower the barrier to automation In just two years from 2017 to 2018, AI technology quickly took off At that time, Jesse Chen observed that product defect detection caused headaches for companies in the process of automating manufacturing The traditional method of manual visual inspection was time-consuming and laborious Moreover, human error easily occurred and AI deployment could not be customized, resulting in high investment costs for enterprises Seizing the AOI market, successful application of AI optical defect detection "The gap in AOI is defect detection Since defects cannot be clearly defined, conforming products were often labeled as non-conforming products to meet the customer demand of not releasing defective products As a result, the overkill rate is often very high, which not only increases the cost of the manufacturing plant, but also lead to a waste of resources" In addition, there is strong demand for process automation due to the shortage of labor in the production line, which created a rare business opportunity for Jesse Chen AI optical defect detection has become the focus of Spingence Technology's AI applications After accumulating nearly 8 years of experience in production line automation, Spingence Technology target customers in three major industries, namely passive components, connectors, and semiconductors, and established a huge database for the production line product defect data it collected Since Spingence Technology started early, it enjoys the advantages of a first mover and continues to optimize database data Its wealth of experience enables it to quickly determine customer needs and propose solutions Spingence Technology uses image recognition and deep learning technologies to develop AOI algorithms, and developed AI defect detection solutions with an accuracy greater than 99 In terms of specific benefits, the overkill rate in the semiconductor industry can be significantly reduced from an average of 5-8 to less than 3, and the overkill rate of passive components can also be reduced from 5 to 12, which can save customers nearly NT300 million in expenses This not only reduces the waste of human resources, but also makes Spingence Technology a good helper for customers' sustainable intelligent manufacturing The outbreak of COVID-19 at the end of 2019 has changed the way people live and work around the world During the pandemic, demand on automation in the manufacturing industry significantly increased due to the need to avoid frequent contact between people Spingence Technology has a good reputation in the industry, so business kept coming in and doubled the number of customers and revenue The secret to winning Follow the footsteps of customers and always think more than customers In addition to Taiwan, Spingence Technology has also extended its reach to markets such as China and Vietnam, where Taiwanese businessmen gather The team in China is expected to increase from 3-4 people to 10 people, and Vietnam also hopes to have a team of 5 people to provide closer services to customers "Spingence Technology always follows the footsteps of its customers We are wherever our customers are" Jesse Chen went on to say that although the pandemic has brought another wave of demand for AI automatic detection, due to the impact of border controls, it was hard to go on business trips Meanwhile, overseas markets on-site personnel to provide nearby services, including consultation and diagnosis, AI implementation, and calibration, all of which require dedicated personnel Spingence's automation software development platform integrates modularized visual inspection, motion control, IO control, and AI analysis functions Coupled with the AI training software "AINavi", one heat sink inspection machine can complete multiple inspections and continue to train the AI deep learning model, which will further lower the miss rate of the machine and improve its inspection quality The integration of AINavi and automation is already sufficient to meet most functional requirements of customers, and then a small number of customized services are provided for different industries and customer needs This allows the company to quickly provide solutions needed by different customers Popular among strategic investors, the company has attracted investments from industrial computer companies and venture capital Spingence Technology has made a mark in the field of AIAOI inspection in the manufacturing industry, and has gain the favor of strategic investors In 2019, a leading industrial computer company made a strategic investment in Spingence Technology and integrated the AINavi deep learning visual inspection tool with the company's complete hardware platform The cooperation between the two parties provides more complete service solutions to customers, creating an example of win-win through "big large company leading small start-up" In February 2022, Spingence Technology reported another good news in its fundraising and received an investment from venture capital, all of its original major shareholders also increased their investment, and nbspSpingence Technology successfully completed the Pre-A round of funding The company will continue to expand its business in the short term, and establish a foothold in China and Vietnam In the future, it plans to build expert systems for passive components, connectors, and semiconductor industries, deepening its domain knowledge and data analysis to create greater value for customers Spingence Technology prides itself as a management consulting company for the manufacturing industry, that is, it provides customers with the most appropriate and valuable consulting services through consulting services, diagnosis, introduction, system launch, personnel training, model optimization, and AI model management

Compared to Japan, where 90 of golf courses operate without caddies and use an automated service model, golf course management in Taiwan still heavily relies on human labor Facing a labor shortage of up to 70, adopting a site and membership management platform to provide intelligent golf services may be a transformation worth considering for golf course operators 'Taiwan's software technology is comparable to international standards and definitely has the capability to compete in the global market,' says Tsung-Che Liao, co-founder and CEO of Golface, established in 2014 with the vision to leverage technology at its core, aiming to create Taiwan's first golf entertainment platform With over 9 years vested in cultivating intelligent golf services, Liao is well-versed in the nuances of golf course services He has considerable domain knowledge and has launched a comprehensive intelligent golf solution The world's first networked smart golf cart hits the road automation of golf courses is no longer just a dream In mid-May, Golface's newly developed ARES Smart Golf Cat, the world's first networked smart golf cart, officially became operational Equipped with a dedicated vehicle computer mainframe, dual network systems, AI-based visual recognition cameras, and high-precision GPS tracking, golf courses can now confidently allow golfers to drive themselves The system enables real-time monitoring of any driving violations, and the presence of digital consumption traces allows for insurance coverage The procedure is as follows golfers book the cart via a reservation platform, receive a QR code, pay through the platform, and unlock the cart with the QR code at the golf course The golf cart can then be driven onto the course The course management platform can monitor and restrict the areas through which the cart can travel, ensuring it does not leave the paths Upon completion, the cart is returned through a tablet in the cart In instances of any infractions, penalties are applied directly through the user's account, and for severe violations, future access to the carts may be prohibited This achieves the goal of 'automation' ARES Smart Golf Cat is the world's first networked smart golf cart, officially in service since May 2022 'As labor costs continue to rise, recruiting and training caddies are becoming common pain points in the market While Taiwan's courses still employ caddies, there's a 70 labor shortage,' Tsung-Che Liao added This smart golf cart tablet, combined with a mobile app, has become the ultimate smart caddy Golface is striving to complete the last piece of the 'automated golf course' puzzle Amassing digital consumption trails for advanced client segmentation services Starting with consumer needs, Golface has sequentially launched services like the golf cart tablet, mobile app, golf reservation platform, instructional videos Golface TV, golf tourism, and smart carts The smart cart has been operational since May 2022, currently featuring four units with plans for mass production in the latter half of 2022 Although the cart currently requires manual operation by golfers, remote operation is anticipated early in 2023, with autonomous driving expected in the third phase Via the cart tablet and management system, staff can understand the status of the course through on-screen visual representations, showing each cart's real-time and relative location, departure times, and duration of service per hole, which aids course managers in monitoring on-course consumption effectively, thus reducing traffic jams and customer complaints 'Previously, we relied on staff's mental imagery now, we can employ imagery to visualize real-time situations on the course This makes it possible for those who don't understand golf to work in this field,' emphasized Tsung-Che Liao While course control has traditionally been handled by experienced professional players, the shortage of skilled professionals makes hiring even more challenging Therefore, replacing manpower with digital tools yields twice the result with half the effort The golf cart tablet has entered the Japanese golf market, installed at Fukuoka Century Golf Club Golface's golf cart tablet has been introduced to 14 domestic courses, and has now officially entered the Japanese market, favored by Fukuoka Century Golf Club, where tablets have been installed in carts providing automatic voice announcements for hitting strategies, distance measurements, and visual charts displaying hitting data During the COVID-19 pandemic, with borders closed, Golface utilized OTA technology to provide software updates and troubleshooting, ensuring uninterrupted services, which was highly appreciated by the Japanese golf courses Tsung-Che Liao remarks that Taiwan's software technology is not inferior to other countries like Japan, but more support from golf courses is needed to help transform the industry intelligently 'To assist in the transformation of golf courses, the first step is digitalization,' Liao pointed out By helping courses accumulate data and understand customer service cycles and hitting rhythms, it enables courses to avoid congestion and serve more customers To date, Golface has accumulated data on over 20,000 teams, 35 million scorecards, and over 10 million records This data helps enhance management performance, segment customer layers, reduce complaints, and plan marketing strategies for off-peak periods Golface co-founder and CEO Tsung-Che Liao has spent 9 years deepening intelligent golf services, aiming to build Taiwan's first golf entertainment platform「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

In response to customer demand on a wide variety of products in small quantities in the manufacturing industry, there is an urgent need to find AI solutions from the cloud to terminals Claireye Intelligence provides a solution that integrates software and hardware - BailAI image inspection solution to assist traditional manufacturing industries in improving process efficiency and product quality, thereby achieving the initial goal of transformation After the government declared 2017 to be Taiwan's "First Year of AI," AI startups have sprung up in Taiwan Established in 2018, Claireye Intelligence targets smart manufacturing and provides a platform for AI image analysis and process optimization, using the power of deep learning to detect product defects and abnormalities in the assembly process It assists companies in building infrastructure from terminals to the cloud, which enables automated monitoring of factory production to improve process efficiency and quality Focusing on AI image inspection based on its familiarity with the production line quality control process Shirley Liu, founder and CEO of Claireye Intelligence, is a young entrepreneur She entered the manufacturing industry after graduating from college and held a quality control position in the plastic injection process of hard disk parts "She was already on the production line at the time, and is familiar with the production line process of production machinery" She later switched career paths to marketing and planning, and then worked as an AI product manager When the time came, Shirley Liu decided to start a business, focusing on AI image recognition in the manufacturing industry "The difficulty for enterprises is the lack of an AI development team Even if an enterprise has an AI team, development projects will take a lot of time, at least 6-12 months" said Shirley Liu, who is well versed in the market's pain points The problem that needs to be solved by platforms is to provide services that allow traditional manufacturing industries to build their own AI models without needing employees with a programming background, and to remotely assist production lines with troubleshooting and subsequent system maintenance, helping companies save development time and labor costs BailAI image inspection platform usage scenarios Facing the large number of competitors that provide AI image recognition in the market, what are the technical advantages of Claireye Intelligence Shirley Liu said that many companies currently have AOI equipment, but the bottleneck in the application of AOI is that it can only be used for defect inspection in fast production of large quantities, and parameters need to be adjusted after each inspection or production Based on her understanding of the industry, most SMEs are limited by their financial resources due to AOI equipment often costing over NT1 million, but they also want to use automated inspection This is where Claireye Intelligence comes in Shirley Liu went on to say that it is impossible for traditional manufacturing industries to maintain a technical team that includes AI engineers, data engineers, cloud architects, and terminal architects Claireye Intelligence specializes in software and hardware integration Enterprises can use the BailAI image inspection platform to easily solve inspection problems on the production line In other words, customers only need to provide images or samples for Claireye Intelligence to carry out model training, model deployment, and system integration, and they can easily use AI technology to optimize and monitor production line processes Participated in the AI New Talent Selection and achieved a recognition rate of over 90 in assembly behavioral image recognition For example, a certain connector manufacturer only has 1-2 AI engineers in its technical team The main problem that needs to be solved is that most operators are on the production line, while quality control and senior managers are not on site, and the company wants to understand the actual situation of the production line through remote monitoring Claireye Intelligence uses industrial cameras to capture production line images, and transmits AI image analysis to the remote end Supervisors and quality control personnel can observe if there are any errors in the production line assembly, such as whether the connectors and lines are connected properly, through the monitor Claireye Intelligence's AI image inspection operates on Microsoft's Azure cloud platform, and also utilizes terminal equipment, such as NVIDIA's edge computing equipment placed around the inspection station, to assist traditional manufacturing industries with improving production line efficiency and detecting problems early through an integrated solution from the cloud to terminals Claireye Intelligencersquos customers currently include aviation, electronic peripherals, connectors, and metal industries Assembly process solution for human behavior recognition in assembly lines achieves an accuracy of over 90 In order to demonstrate the depth of technology, Claireye Intelligence participated in the 2021 AI New Talents Selection of the Industrial Development Bureau, Ministry of Economic Affairs, and provided Lite-On Technology with the "assembly process solution for human behavior recognition in assembly lines" The solution determines effective working hours and ineffective working hours of operators on the production line through cameras and AI image recognition It recognizes hand posture and position through images to determine the operator's assembly behavior, achieving an accuracy of over 90 Shirley Liu added that the assembly process of electronic components is complex, mostly carried out manually, and cannot be replaced by robotic arms Claireye Intelligence used cameras to film the assembly process of operators at Lite-On's assembly station The algorithm is then trained and corrected based on the video, and the final trained model can directly determine whether there are any errors in the assembly process to improve the overall process Project development time is expected to be shortened to 1 month by using the BailAI image inspection platform Since its establishment more than three years ago, Claireye Intelligence has accumulated a considerable amount of project experience and hopes to commercialize the project experience Shirley Liu pointed out that the trial version of BailAI image inspection will be completed this year 2022 Customers can choose industrial cameras or video cameras based on the detail of the object being inspected It can even use X-rays to capture images, and then the images are automatically marked by the platform Claireye Intelligence will provide customers with AI application models suitable for the field Inferences can also be made in the cloud or terminals for launch in the manufacturing industry The metals industry, metal casings of industrial computers, connectors, electronic peripherals, and mechanical parts can all use the platform for defect detection and object identification Claireye Intelligence will continue to improve its technical capabilities, accumulate customer experience to complete commercialization, and also accelerate the implementation of AI inspection applications In the mid-term, it will build terminal and cloud infrastructure and shorten the development time of enterprise AI projects from 6-12 months to 1 month, reducing usage time and lowering the threshold for enterprises The long-term goal is to target the Southeast Asian market where Taiwanese businesses are gathered, expand software and hardware integrated AI solutions to overseas markets, and expand the scale of operations