Special Cases
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」
Motors are a critical power source for various devices in modern times, and are key components of many automated equipment, acting like the heart of machines Any malfunctions not only shorten the lifespan of the motors themselves but also affect the entire system's operation, potentially causing delays in production due to downtime Through the use of Smart Vibration Diagnostic and Monitoring Solution SVDM Solution, Haobo Technology utilizes AI to comprehend motors, becoming an indispensable tech partner in intelligent manufacturing The essential industrial motors see an almost 4 annual compound growth rate According to statistics, the market size for industrial motors was 329 billion in 2017, with an expected compound annual growth rate of 363 from 2019 to 2025 Motors have a wide variety of uses, nearly essential in all equipment operations, and represent a technology that is well-developed, with numerous suppliers and a long product lifecycle Haobo Technology, established in 2015, started by solving motor noise issues In recent years, due to the rapidly evolving AI technology, Haobo Technology has continuously innovated and researched, integrating vibration frequency with sound-based audio processing technologies and AI algorithms for noise reduction, along with their self-developed wideband low-noise vibration sensors They introduced a new generation of industry-leading 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution, overcoming previous challenges in detecting main vibration frequencies and predicting vibration models in complex environments, making it an essential solution for accelerating industrial intelligence Haobo Technology's 'Smart Vibration Diagnostic and Monitoring Solution' has been successfully applied in PCB drilling machines, semiconductor equipment, machine tools, and medical equipment Haobo Technology's CEO Lu Hongyi states that the Smart Vibration Diagnostic and Monitoring Solution is distinguished not only by its noise reduction capability but also by the AI model's ability to instantly recognize abnormal frequencies in motor vibrations Since general motor sensors are too large to be mounted on the motors, Haobo Technology has customized thin sensors to be installed on the spindle motors, allowing AI models to be computed in real-time on edge devices, significantly reducing the cost of computational resources, with an overall potential reduction in costs by one-fourth Simultaneously, advancements in vibration detection for motor operations have exceeded past technological limits, thus allowing for the immediate detection of the minutest changes and providing early malfunction warnings, helping to extend the lifespan of the motors Haobo Technology has established a vibration data AI analysis platform that constantly monitors the health of motors Haobo Technology's self-developed AI engine is capable of training database modules from collected operational vibration data of motors and establishing a proprietary database for that equipment, which provides real-time comparisons during operation, monitoring if the production equipment is functioning normally Upon detecting any abnormalities, the system instantly issues a warning alert, enabling on-site managers to address the issue immediately to prevent large quantities of finished or semi-finished products from defects Haobo Technology's vibration data AI analysis platform can detect the most subtle vibrations in motors, thus precisely predicting their health status Lu Hongyi mentions that the company independently develops its sensors, hardware, firmware, and AI data analysis platforms, which allows for the detection of the faintest vibrations in motors, thereby accurately predicting their health status This optimization of product quality and preemptive monitoring of production equipment health aims to enhance productivity Haobo's 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution has successfully been applied in PCB drilling machines, semiconductor equipment, machine tools, and medical devices, with future plans to actively promote across various industries and enter the international market, hoping to become a pioneer in smart vibration diagnostics Haobo Technology CEO Lu Hongyi「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」
Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery
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 solution for AIAOI 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 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 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 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 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 Xiaoshi Intelligent Inspection’s overall AIAOI visual inspection solution creates rapid modeling and excellent results for customers with a missed detection rate of less than 1 The most competitive AIAOI 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 AIAOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AIAOI 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 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」
Records of Solutions
OMO Digital Service Process Design Service analyzes digital footprints to capture consumer profiles Currently in Taiwan, retailers are primarily divided into four major categories convenience stores, wholesale stores, supermarkets, and department stores Among these, department stores, which are the largest in scale, despite their long history, face the challenge of weak digital capabilities Even today, they continue to use traditional methods such as physical DMs, sales events, and anniversary celebrations to communicate with consumers In today’s environment of intense price competition and rising labor costs, coupled with their lack of a price advantage, it is unrealistic to expect consumers to remain loyal These issues also reflect in their gradually diminishing sales force The III Service Innovation team believes that 'OMO Digital Service Process Design Service' may be a viable solution to help department store sectors transform「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」
