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【2022 Solutions】 Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers. When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection (AOI), and also enable real-time traceability Causes of quality problems. The overall AI+AOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1% and an overkill rate of less than 3%. Check the level.

Xiaoshi Intelligent Inspection was established in 2020. Although it is a new venture two years ago, it did not start from scratch. Founder and CEO Hong Peijun and the core team have been deeply involved in Foxconn factories for many years and participated in countless smart factory-related solutions and process improvements. , has profound AI deep learning development capabilities, and accumulated rich experience in world-class AI application implementation. Seeing that AI industrial inspection must be the last mile for the manufacturing industry to move towards Industry 4.0, Hong Peijun resolutely decided to implement AI deep learning technology in the field of smart manufacturing with high output value, and specialized in the development of AI industrial visual inspection.

For the manufacturing industry, product inspection is the most important part of all quality control, but traditional industrial inspection faces two major pain points: 1. Manual visual inspection: Today, more than 95% of the entire manufacturing industry still relies on manual visual inspection. Inspection makes it difficult for manual visual quality inspection standards to be consistent, and visual inspection of fine objects, such as passive components or highly reflective components, will cause long-term vision damage. 2. Traditional AOI automatic optical inspection: The product has limited visual recognition capabilities and blind spots in defect detection. Among them, the detection of appearance defects such as scratches, oil stains, dirt or hair and other unexpected subtle defects has always been a problem in AOI applications. Insurmountable difficulties.

AI+AOI visual inspection overall solution is a great boon for appearance defect detection

When designing the product roadmap of Xiaoshi Zhikan, customer group positioning and strengthening customer product services and value were important indicators. Moreover, appearance defect detection has always been an unresolved pain in the manufacturing industry, Hong Peijun said. With industrial quality inspection AI software as the core, Xiaoshi Intelligent Inspection provides an overall solution for AI+AOI visual inspection. It mainly promotes three major products, including "QVI-T AI deep learning inspection modeling platform software" and "AI six-sided defect inspection and screening machine". ” and “AI Industrial Quality Inspection Platform”. The main customer groups served are semiconductor packaging and testing, EMS electronics foundry, small metal parts processing and other industries with high production capacity and high gross profit margin. In response to customer needs, Xiaoshi Intelligent Inspection provides corresponding software and hardware services, combining self-developed AI deep learning software and hardware quality inspection equipment to reduce the manual visual burden on the production line and effectively improve the production quality of the factory.

In order to help equipment manufacturers and technical engineers with development capabilities accurately grasp product appearance defect detection, Xiaoshi Intelligent Inspection independently developed QVI-T deep learning detection software, which can provide customers with defect location, defect classification, defect segmentation, anomaly detection and text recognition. Key functions such as this are different from the fixed detection methods of traditional software. Algorithms can be refined based on different industrial detection methods and different APIs can be developed to connect devices with different lenses. The software design of this platform is very lightweight. It is a SaaS software built on public cloud/private cloud. It mainly involves simple image uploading, labeling, training modeling, and verification testing. After completion, users can download models, SDKs, APIs, and reports. Effectively help customers achieve AI inference functions.

Currently, most of the industrial inspection services on the market are traditional AOI software industrial inspection machines, which can only measure product contours such as the head and length of fasteners, etc., and cannot truly provide detection of subtle product surface defects such as screw head cracks and tooth damage. There is a lack of such high-precision defect detection companies in the market, Hong Peijun observed. Xiaoshi Intelligent Inspection developed and independently built the "AI six-sided defect detection and screening machine" from customized services in the past to providing standardized services for customers at the current stage. It provides standardized testing services for fasteners in measurement and surface defects, as well as passive components. High-speed surface defect detection of similar products. This professional machine uses the AI ​​deep learning + AOI composite algorithm technology independently developed by Xiaoshi Intelligent Inspection. Through parallel computing technology, it can achieve model inference up to 3 milliseconds per picture, and realize multiple complex defect detection on the electrodes and body of passive components. This professional machine is mainly used for the inspection of fasteners, small metal parts and passive components.

In terms of competitiveness in the industry, the software + hardware integration provided by the AI ​​six-sided defect inspection and screening professional machine is an important core competitive advantage of Xiaoshi Intelligent Inspection. It is not as simple as it sounds. Hong Peijun said with emotion that this special machine is very important in the industrial inspection industry. Commonly known as the highly integrated integration of optical mechanisms, electronic controls, software and algorithms, the process requires continuous optimization and iteration, and requires multiple client verifications and modifications. After a long period of hard work, the technical threshold has also been raised. The AI ​​six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years. It is believed that AI combined with measurement technology and surface defect detection will be an important source of core competitiveness of Xiaoshi Intelligent Inspection, Hong Peijun said.

AI The six-sided defect detection and screening professional machine will be Xiaoshi Zhiqian’s main product promotion direction in the next 3-5 years

▲AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years

Faced with the booming development of Industry 4.0 in smart factories, customers often ask "Does quality inspection data have secondary use value?" Hong Peijun said that the "AI Industrial Quality Inspection Platform" launched by Xiaoshi Intelligent Inspection has a machine learning mechanism , which can be used for secondary use of quality inspection data to provide customers with multiple functions including real-time monitoring and early warning of production quality, quality traceability analysis, quality factor assessment, process parameter prediction and recommendation. Taking the successful introduction into the automotive parts factory as an example, through the prediction and recommendation of process parameters provided by the AI ​​industrial quality inspection platform, when we know the product defects, we build a set of models based on the experience of past masters, coupled with the network connection data from the previous stage, After integration, we have process data, incoming material data, and quality inspection data. We can predict whether these machine parameters have run out, and we can recommend whether the process parameters of certain sections should be adjusted up or down. Through the AI ​​industrial quality inspection platform, Xiaoshi Intelligent Inspection can help customers connect visual quality inspection results, process data and acceptance standards with the existing MES system of the customer's factory to improve production quality, improve efficiency and reduce costs.

In terms of business model, Xiaoshi Zhiqian also provides a software subscription system for the deep learning detection modeling platform software. It provides public cloud customers with traffic subscription and charges based on the amount of image uploads, while private cloud customers adopt an annual license fee. (license) charging mechanism. In addition, the company also provides customers with a buyout charging mechanism for the overall solution (equipment), and provides a one-year warranty, after which consumables and software update maintenance fees are charged annually.

Going in the opposite direction, using both hard and soft methods, with a missed detection rate of less than 1% and rapid modeling in 15 minutes

Faced with various small-volume and multi-sample inspection needs in the manufacturing industry, general AI deep learning visual inspection usually requires customers to collect a large number of photos of defective products, which is time-consuming to label, and also causes customers to have difficulty in importing AI, and defective products cannot be collected. The introduction cycle is long and implementation is full of risks. If there are not enough bad samples, the model will be inaccurate. Kosaki Chikan goes in the opposite direction and uses its product "AI Visual Inspection Model Development Tool" to train models through pictures of good products provided by customers. It is relatively easy for AI to learn good products, no labeling is required, and the time can be quickly compressed to complete the modeling.

Take the implementation of IPC electronics industry - AAEON Technology as an example. In order to reduce the manpower input of the quality inspection station in the PCBA production line and have standardized quality inspection, Xiaoshi Intelligent Inspection provides an overall solution for PCBA AI visual inspection software and hardware. services, and conduct in-line inspection on the factory's highly automated assembly line, effectively saving inspection manpower investment, improving the standardization of quality inspection rates, and improving the problem of inconsistent standards caused by manual visual inspection. Through the introduction of AI visual inspection software and hardware integrated solutions, we have effectively helped customers maintain an overkill rate of less than 3% in the past two years, and achieved high-efficiency performance with a missed detection rate of less than 1%. In addition, this solution allows practitioners who do not understand AI to quickly operate modeling. By installing the modeling tool on the device, when the customer has a new product number and needs to create a model, he only needs to provide 10 pictures of good products to scan under the device. It only takes 15 minutes to quickly train the model.

In terms of product core strategic layout, compared with market competitors who rely solely on general software services to seize all manufacturing markets, it is not feasible to apply it to industrial inspection. Hong Peijun has observed over the past 10 years and believes that only software + hardware can With technical thresholds and focusing on one industry and field, only by adopting a standardized company's AI six-sided defect detection and screening special machine can it be replicated and scaled up, and the company can truly continue to move towards optimization and create product competitiveness, even if there are other competing products. It’s not easy to compete for this pie, Hong Peijun said.

Xiao Shizhikan's AI+ AOI The overall solution for visual inspection creates excellent results for customers with rapid modeling and a missed detection rate of less than 1%

▲Xiaoshi Intelligent Inspection’s overall AI+AOI visual inspection solution creates rapid modeling and excellent results for customers with a missed detection rate of less than 1%

The most competitive AI+AOI overall solution provider with global presence

For new entrepreneurs, facing business expansion is a challenge every day. Hong Peijun said that small companies are easily snatched away by large companies, company talents are poached by high salaries, lack of deep customer relationships, and the business team is not large enough, etc. . How to overcome this? Hong Peijun believes that the key to success and competitiveness of a new start-up company is to be diligent in making up for mistakes, provide better services, provide more immediate feedback, and create more professional solutions to convince customers.

Since its establishment in 2020, Xiaoshi Intelligent Inspection has always gone against the grain in terms of product core strategic layout, surpassing the competitive market among its peers, and actively taking root in the overall solution of AI visual inspection software and hardware. Hong Peijun hopes that Xiaoshi Intelligent Inspection will become the world's most competitive AI+AOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AI+AOI professional machines and equipment to the electronics and semiconductor industry customer base. Hong Peijun said that the technical capabilities of the company's AI six-sided defect detection and screening professional machine have reached the top domestic level. In order to speed up the research and development of professional machines to become more standardized and sell them to overseas markets, the company will conduct a fundraising plan at this stage, hoping to use legal persons such as the Capital Strategy Council to assist in more business connections and fundraising channels. For the medium and long-term goals, Xiaoshi Intelligent Inspection will lay out the global market including mainland China and Southeast Asian countries. At the same time, it will follow the international footsteps of major OEMs in global layout. Under the target inspection project, it will continue to develop specialty products and spread towards the international field.

The most competitive AI+AOI overall solution provider with global layout

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

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【解決方案】小柿智檢 以「AOIAI」雙劍合璧,軟加硬體千錘百鍊 打通外觀瑕疵檢測任督二脈
Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection AOI, and also enable real-time traceability Causes of quality problems The overall AIAOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1 and an overkill rate of less than 3 Check the level Xiaoshi Intelligent Inspection was established in 2020 Although it is a new venture two years ago, it did not start from scratch Founder and CEO Hong Peijun and the core team have been deeply involved in Foxconn factories for many years and participated in countless smart factory-related solutions and process improvements , has profound AI deep learning development capabilities, and accumulated rich experience in world-class AI application implementation Seeing that AI industrial inspection must be the last mile for the manufacturing industry to move towards Industry 40, Hong Peijun resolutely decided to implement AI deep learning technology in the field of smart manufacturing with high output value, and specialized in the development of AI industrial visual inspection For the manufacturing industry, product inspection is the most important part of all quality control, but traditional industrial inspection faces two major pain points 1 Manual visual inspection Today, more than 95 of the entire manufacturing industry still relies on manual visual inspection Inspection makes it difficult for manual visual quality inspection standards to be consistent, and visual inspection of fine objects, such as passive components or highly reflective components, will cause long-term vision damage 2 Traditional AOI automatic optical inspection The product has limited visual recognition capabilities and blind spots in defect detection Among them, the detection of appearance defects such as scratches, oil stains, dirt or hair and other unexpected subtle defects has always been a problem in AOI applications Insurmountable difficulties AIAOI visual inspection overall solution is a great boon for appearance defect detection When designing the product roadmap of Xiaoshi Zhikan, customer group positioning and strengthening customer product services and value were important indicators Moreover, appearance defect detection has always been an unresolved pain in the manufacturing industry, Hong Peijun said With industrial quality inspection AI software as the core, Xiaoshi Intelligent Inspection provides an overall 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QVI-T deep learning detection software, which can provide customers with defect location, defect classification, defect segmentation, anomaly detection and text recognition Key functions such as this are different from the fixed detection methods of traditional software Algorithms can be refined based on different industrial detection methods and different APIs can be developed to connect devices with different lenses The software design of this platform is very lightweight It is a SaaS software built on public cloudprivate cloud It mainly involves simple image uploading, labeling, training modeling, and verification testing After completion, users can download models, SDKs, APIs, and reports Effectively help customers achieve AI inference functions Currently, most of the industrial inspection services on the market are traditional AOI software industrial inspection machines, which can only measure product contours such as the head and length of fasteners, etc, and cannot truly provide 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of fasteners, small metal parts and passive components In terms of competitiveness in the industry, the software hardware integration provided by the AI six-sided defect inspection and screening professional machine is an important core competitive advantage of Xiaoshi Intelligent Inspection It is not as simple as it sounds Hong Peijun said with emotion that this special machine is very important in the industrial inspection industry Commonly known as the highly integrated integration of optical mechanisms, electronic controls, software and algorithms, the process requires continuous optimization and iteration, and requires multiple client verifications and modifications After a long period of hard work, the technical threshold has also been raised The AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years It is believed that AI combined with measurement technology and surface defect detection will be an important source of core competitiveness of Xiaoshi Intelligent Inspection, Hong Peijun said AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years Faced with the booming development of Industry 40 in smart factories, customers often ask "Does quality inspection data have secondary use value" Hong Peijun said that the "AI Industrial Quality Inspection Platform" launched by Xiaoshi Intelligent Inspection has a machine learning mechanism , which can be used for secondary use of quality inspection data to provide customers with multiple functions including real-time monitoring and early warning of production quality, quality traceability analysis, quality factor assessment, process parameter prediction and recommendation Taking the successful introduction into the automotive parts factory as an example, through the prediction and recommendation of process parameters provided by the AI industrial quality inspection platform, when we know the product defects, we build a set of models based on the experience of past masters, coupled with the network connection data from the previous stage, After integration, we have process data, incoming material data, and quality inspection data We can predict whether these machine parameters have run out, and we can recommend whether the process parameters of certain sections should be adjusted up or down Through the AI industrial quality inspection platform, Xiaoshi Intelligent Inspection can help customers connect visual quality inspection results, process data and acceptance standards with the existing MES system of the customer's factory to improve production quality, improve efficiency and reduce costs In terms of business model, Xiaoshi Zhiqian also provides a software subscription system for the deep learning detection modeling platform software It provides public cloud customers with 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【解決方案】日康科技運用AI人臉辨識偵測生理數據 知人知面也知心 自我健康不漏接
Zcon Telehealth uses AI facial recognition to detect physiological data so that people can know everything about their own health

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providing thoughtful companionship for the elderly through AI It can be used for non-contact physiological data measurement in the post-pandemic era, significantly cutting the labor cost of care in half Bobby Pan, the founder and president of Zcon Telehealth, which has accumulated abundant technical capabilities in the telecommunications and banking industries over 20 years, observed that the demand for telehealth care is an inevitable business opportunity, and decided to establish Zcon Telehealth in 2013 He worked hard with the core AI technology team to develop a comprehensive telehealth care solution Four years ago, he set the goal to develop an AI-based telehealth care platform, and returned to school to study in a doctoral program, focusing on the research of contactless detection of physiological data using AI facial recognition technology He successfully obtained an invention patent 2 years later Zcon Telehealth is the third company in the world after an Israeli company and 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This product can achieve convenient self-health management and measurement functions for those who frequently travel abroad, workers such as security guards, service providers such as taxi drivers, or migrant workers, replacing the inconvenience of carrying various physiological measurement equipment in the past Zcon Telehealth is the third company in the world to provide physiological data detection technology based on AI facial recognition The company has successfully applied for an invention patent due to the innovation of this technology and services AI facial recognition health management has successfully cooperated with the health management center of a hospital in Kaohsiung, and provides the center's members who download the app with self-health measurement services In addition to health examination centers, the AI facial recognition health management service also cooperates with domestic TV manufacturers to develop customized Android TV apps and integrate them into 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autonomic nervous system assessment, behavioral response assessment, brain health assessment, neurological response assessment, and brain emotion assessment In terms of breakthroughs in AI technology, Zcon Telehealth connects devices through a brain-computer interface for brain health assessment indicators, transmits physiological data, and uses a long-short-term memory model and convolutional neural network to analyze neural indicators It automatically generates a cognitive function assessment report through cloud services as the quantitative result of mental health examination This value-added service of the verified mental health examination solution has been actively expanded to all counseling centers in Taiwan through cooperating counseling centers In the future, the company will continue to cooperate with medical institutions and health examination centers to expand its business Psychological consultation AI brainwave detection equipment to determine mental health status in advance In terms of business model, physiological data detection technology based on AI facial recognition uses a non-binding payment mechanism Individuals or companies will receive AI blood oxygen detection cards provided by Zcon Telehealth, and scan the QRCode on the card using their mobile phones for unlimited self-health measurements within one month They only need to pay NT300 per month, which is quite affordable In addition, the fee for the telehealth care management platform is also very affordable at only NT100 for each account For the tele-psychological counseling platform, Zcon Telehealth signs annual contracts and bills customers on monthly basis The AI health management robot is provided for customers to buy out Looking towards the international market while based in Taiwan, developing diverse telehealth services From the perspective of Zcon Telehealth, how to successfully develop products, market them, and expand business opportunities has been a challenge since the company was founded Among them, the company's development of physiological data detection technology based on AI facial recognition was the most challenging Bobby Pan said that since there is no precedent in the industry, the only way was to go back to school to study Fortunately, he was admitted in a doctoral program two years ago and read countless foreign journals, which he then integrated into product design and development It took 2 years of hard work to achieve this result Zcon Telehealth is not only passionate about the development of AI-enhanced telehealth care services, but also believes that AI-based contactless physiological health measurement and data can provide people and care institutions with a more affordable, convenient, fast, and considerate health measurement option in the post-pandemic era In terms of business strategy, Bobby Pan hopes that recent promotion of the physiological data detection technology based on AI facial recognition will continue to increase market share and create cooperation opportunities with channels To this end, the SDK Software Development Kit developed by Zcon Telehealth allows any application owner to embed it into their solution, and can use the SDK to directly detect physiological data on Android or iOS devices It is also applicable to mobile phones, tablets, smart TVs, or smart health mirrors In the future, Zcon Telehealth will primarily target large-scale health companies for cooperation, and looks forward to finding more potential partners with the assistance of the Institute for Information Technology III In the past two years, Zcon Telehealth has actively expanded into the field of AI healthcare and maintained its leadership in AI facial recognition technology Facing the fiercely competitive AI healthcare industry, Bobby Pan said that Zcon Telehealth must plan ahead and will first provide physiological data detection technology based on AI facial recognition to charity and religious groups free of charge, in order to increase product visibility in the short-term In the mid-term, Zcon Telehealth will partner with large health companies, such as health examination centers, and utilize the big data collected through the cooperation to plan customized health products and services For long-term development, Zcon Telehealth plans to set up a branch in Texas, USA by the end of this year and establish local distribution channels It will actively expand business to emerging potential markets, such as Vietnam, the Middle East, and South America You can know what people look like but not what's going on inside Zcon Telehealth breaks through the traditional approach and uses AI facial recognition technology to detect multiple physiological data in 30 seconds, gaining insight into an individualrsquos current health condition, so that it can not only know what people look like, but also what's going on inside Bobby Pan said that it took years of hard work to complete the development of physiological data detection technology based on AI facial recognition Zcon Telehealth is looking towards international markets while it is based in Taiwan, and will develop diverse telehealth services Bobby Pan, founder and president of Zcon Telehealth

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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」