:::

【2022 Solutions】 After five years of hard work in image recognition, Touch Cloud won the Smart City Innovation Application Award

During the opening ceremony of the 2022 Smart City Summit & Expo co-organized by the National Development Council, Ministry of Foreign Affairs, Taipei City Government, Taoyuan City Government, Kaohsiung City Government, and Taipei Computer Association on March 22, 2022, founder and president of Touch Cloud Cheng-Hsun Li went on stage to receive the "2022 Smart City Innovation Application Award_Smart Security Award." This award is hard-won because after five years of hard work, Touch Cloud brought its core technology of AI image analysis back to Taiwan after gaining popularity in overseas markets, becoming an important smart city solutions provider.

"Since the company was established, we have positioned ourselves to make AI products that are stable, easy to use, and truly needed by the market." The company's positioning is very clear, this step took Touch Cloud five years. It was not until the beginning of 2020 that Touch Cloud launched its first intrusion detection product. In less than two years, Touch Cloud has now launched seven products, with each product receiving excellent reviews from the market.

Specializing in the field of smart cities, Touch Cloud successfully entered the Asian market

Founded in February 2016, Touch Cloud originally focused on AOI defect detection. However, the definition of defects is different for every customer. As a result, applications in this field are mostly project development and could not be commercialized. The company later directed its efforts to AI Application Box, a product that integrates software and hardware, and focused on smart cities, including transportation, industrial safety, and security related markets.

In view of the high acceptance and price advantage of AI in overseas markets, Cheng-Hsun Li targeted the overseas market in the early stages of the company's development, and has produced many successful results in several major countries, including Hong Kong, Singapore, and Thailand. Among them, Touch Cloud successfully entered the Hong Kong market with its debut in the Hong Kong International Airport project.

In 2018, Hong Kong International Airport planned to monitor ships around airline oil storage platforms to prevent ships from colliding with the oil storage platform. However, the oil storage platform is located in the middle of the sea and lacks electricity and Internet connection, so it could only set up a camera on shore 3 km away from the platform. In addition to the long distance and poor line of sight, monitoring was also affected by weather conditions, such as clouds and fog, and was ineffective. Touch Cloud customized an AI algorithm specifically for the project, and continuously collected image data for model training. It took half a year of discussions with the customer and system corrections to finally achieve an accuracy rate of 98%, successfully completing the goal.

Touch Cloud won the 2022 Smart City Innovation Application Award_Smart Security Award. Minister of Economic Affairs Mei-Hua Wang (on the left), Touch Cloud founder and president Cheng-Hsun Li (on the right)

▲ Touch Cloud won the 2022 Smart City Innovation Application Award_Smart Security Award. Minister of Economic Affairs Mei-Hua Wang (on the left), Touch Cloud founder and president Cheng-Hsun Li (on the right)

Touch Cloud products have three advantages that provide customers with a better AI user experience: 1. Plug and play; 2. Provides flexible services, in addition to standard products, customized services meet customers' needs for quick launch and reliable problem solving; 3. High adaptability and ability to achieve extremely high recognition accuracy in different environments.

Cheng-Hsun Li believes that the design of AI products should be as simple as using a "home appliance" and have a clear purpose. Therefore, Touch Cloud built an AI Application Box to design products from the perspective of scene applications, focusing on image analysis related to "people" and "vehicles." At present, a total of seven products have been developed, including KekkAI (personnel intrusion detection, card swiping and tailgating detection), KekkAI-H (construction site safety detection), Abaci-P (people flow and head count), Abaci-V (traffic flow and vehicle count), Greygoose (personnel intrusion detection and people flow), GotchA! (cross-camera person tracking / search), and AI@Sense (license plate recognition).

Cross-camera tracking product GotchA! won the Smart City Innovation Application Award

GotchA! is the product that won the Smart City Innovation Application Award. This cross-camera tracking product is unique in the market. Its system uses AI technology to search and track people by analyzing their features at the time. Users can use image search to search for the path of a specific person in multiple cameras; they can also use multiple appearance features to find suitable target groups. Using GotchA!, you can actively search for lost people, understand the shopping behavior of VIP customers in the mall, and even manage the footprints of visitors in the building.

For example, it is not uncommon for children to get lost in hypermarkets. GotchA! can access footage from the entrance camera for an image search, and compare the walking path of the child to quickly find the missing child. Using GotchA! in shopping malls and amusement parks, where people come and go, to find lost people. It not only significantly reduces the time spent by 90%, but also transforms the traditional approach of the service counter making an announcement to the lost person into an active search based on image analysis, thereby improving service levels and accuracy.

Touch Cloud's excellent AI image analysis technology is favored by large enterprises

▲ Touch Cloud's excellent AI image analysis technology is favored by large enterprises

Cheng-Hsun Li said that his experience abroad has taught him to help customers find AI usage scenarios. For example, a T-Bar (large advertising billboard) operator in Thailand wants to attract business, and advertisers want to understand the flow of people to evaluate advertising effectiveness. The T-Bar company has more than 1,000 cameras and can determine the type of vehicle from the images and then calculate the number of people, which can be converted to advertising effectiveness.

After Touch Cloud used the data for training, it can even identify special vehicle types in various countries. For example, the  "pickup truck" is a special vehicle type in Thailand. Model training is carried out through Open Data, scenario data, and Touch Cloud's self-built database, and can accurately identify traffic flow and vehicle type, which is used to estimate the number of people reached by the advertisement.

Rapid business development after returning to the Taiwan market from overseas

Touch Cloud currently accounts for 70% of the overseas market, with customers in Thailand, Hong Kong, Singapore, Malaysia, Japan, South Korea, and the Philippines. In the future, it will also develop into other Asian markets, such as Vietnam. In addition to the Asian market, Touch Cloud has not forgotten to serve Taiwanese customers, and began to actively recruit partners to jointly develop the Taiwan market in June 2021. So far, the number of customers has quickly accumulated to more than a hundred.

Touch Cloud's excellent AI image analysis technology is favored by many companies, and most investors are strategic partners, working together to create synergies and allow Touch Cloud's technology to be quickly applied.

Cheng-Hsun Li said that it often takes more than five years for an AI startup to get its operations on track, and it takes at least three years to cultivate good AI talents. Results are gradually emerging thanks to the considerable flexibility and space given by strategic investors to the company.

Touch Cloud products are already being put into practical use in major Asian countries such as Hong Kong, Singapore, Thailand, South Korea, and Japan, and are expected to enter more Asian countries within two years, driving more advanced image analysis applications. The company hopes to complete representative cases in Asian markets every year, and move towards an IPO as a company featuring AI products.

Recommend Cases

【解決方案】台灣軟體科技實力媲美國際 Golface智慧服務促高球轉型
Taiwan's Software Technology on Par with International Standards: Golface's Intelligent Services Transform Golf

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」

【解決方案】AI電眼取代人眼 慧演智能運用AI幫製造業做品管
Using AI vision to replace human vision, Claireye Intelligence uses AI to help the manufacturing industry with quality control

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

這是一張圖片。 This is a picture.
Make Meeting Records Efficient and Time-Saving with DeepWave's Smart Meeting Ink AI

Meeting Ink Enterprise Edition is now being launched Studies show that around 50 of content is forgotten within two hours after a meeting if not tracked and reviewed immediately multiple reports and transmissions can result in losing over one-third of key information Precise meeting records are crucial for organizations with strict operational protocols and public sectors However, with extensive meeting demands, recording can lead to losses in meeting outcomes and increase team burdens Spotting this market pain point, Taiwanese AI startup DeepWave has introduced 'Meeting Ink'—a new solution for meeting records that integrates voice, text, and automated AI technologies Meeting Ink supports voice-to-text transcription, speaker recognition, verbatim translation, and automated meeting summary highlights, offering flexible services for consumers and enterprises This year, it has added real-time verbatim scripting and translation, creating a new paradigm in meeting management AI Technology Solves Meeting Recording Pain Points in One Go Since its launch at the end of 2023, 'Meeting Ink' has become a high-efficiency and accurate meeting record management solution on the market DeepWave combines its proprietary technology, third-party tools, and Microsoft Azure's voice recognition technology to create the best voice-to-text experience Furthermore, this includes speaker recognition and segmenting, multiple language translation, and meeting summary functionalities across various scenarios To achieve broader applications, Meeting Ink also provides real-time application solutions, making it suitable not just for regular meetings but also for events, forums, and educational sessions Currently, Meeting Ink supports both app and web platforms, offering enterprise customization options to expand its applications further Excellent Voice Recognition Technology and Optimal User Experience Meeting Ink stands out in the market due to its precise voice recognition technology and user-centered application design Relying on DeepWave's proprietary technology, Meeting Ink can convert audio signals into text representing each speaker, distinguishing each participant's voice to ensure information is clearly differentiated Additionally, meeting content can be further summarized according to the speaker and, with DeepWave's optimized system, generate exclusive summary templates for various scenes and roles Whether for executive meetings, academic forums, personal interviews, or learning sessions, Meeting Ink produces tailored summaries for different contexts, bringing higher efficiency and flexibility to meeting recording experiences Precisely Targeting Enterprise Needs, Providing Comprehensive Enterprise Applications Anticipating the shifting market demands, DeepWave has launched a customized service plan tailored for B2B frameworks, further optimizing Meeting Ink's application on the enterprise side Enterprise clients can use the professional edition and enjoy exclusive customized summary modules tailored to specific industry needs DeepWave commits to regularly updating AI modules to ensure the most advanced technological support Additionally, Meeting Ink's enterprise service plan emphasizes data security, account permission management, unlimited storage space, and multi-device compatibility supporting all recording scenarios Offered at the lowest market rates, this provides an economical and efficient solution for enterprises, allowing them to focus on core tasks and enhancing overall meeting efficiency Embracing the Pulse of the AI Era, Leading Market Applications According to a 2023 market report, the global market for AI application tools is expected to grow from nearly 7 billion to 50 billion over the next decade, with business and learning tools playing key roles Facing the rapid progression of AI technology, DeepWave leverages its technical prowess and innovative capacity to penetrate international markets with Meeting Ink, continually bringing revolutionary changes to meeting records for both businesses and individuals Going forward, DeepWave will continuously optimize Meeting Ink, committed to promoting the close integration of AI technology with everyday work and learning scenarios, creating more convenient and efficient working environments for users 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-11-15」