Special Cases

06
2021.10
【2021 Solutions】 Motor Protectors: How Haobo Technology Employs AI to Understand the 'Hearts' of Machines

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」

2021-10-06
【2019 Solutions】 Massive Digital Engineering: Smart Badminton Rackets Make Training More Fun!

For many professional team trainers, recording players' training conditions in the past often required manual effort However, by mounting sensors on sports equipment and combining them with corresponding AI devices, it's now possible to easily record training data Massive Digital Engineering has launched the napa smart badminton racket, digitizing the often abstract actions in sports, which assists athletes in finding the right training direction Introduction to Massive Digital Engineering Established in 2000, Massive Digital Engineering focuses on data analysis and mining in areas such as ERP, Industry 40, and financial big data It services manufacturing industries like chemicals, sports equipment, and automotive components, as well as various retail and distribution sectors by offering system development, customization, installation, and integration, helping companies enhance operational efficiency The company excels in cloud big data, using publicly traded financial databanks to design up to 92 financial assessment standards, which serve as benchmarks for businesses to improve their corporate structures Additionally, in response to Industry 40 and smart manufacturing trends, Massive Digital Engineering continues to develop innovative intelligent technologies aiming to boost production efficiency while reducing costs and pollution The napa smart badminton racket handle embeds high-performance sensors that automatically transmit the collected data for AI-driven analysis to an app Massive Digital Engineering showcased the napa smart badminton racket at the AI HUB Conference Recently at the AI HUB Conference, Massive Digital Engineering unveiled the extensively developed napa smart badminton racket, digitizing complex and hard-to-measure sports movements applicable in various competitive sports This tool helps coaches in training and assists athletes in finding the right direction For leisure and entertainment, the napa smart badminton racket can transform traditional courts into smart courts, complete with real-time data display boards on both sides of the court This not only displays scores during matches but also enables players to instantly access various swing data, vastly enhancing the fun and interactive aspect of the game With years of experience in data analysis and mining, one may wonder why Massive Digital Engineering ventured into the sports domain It turns out that there is a backstory involving long-term subcontracting work for the well-known sports brand WILSON, combined with the good reputation of its own Napa badminton rackets and familiarity with badminton-related products Hence, starting from the basic physical product of the racket, years of AI research were integrated into the development of the napa smart badminton racket project The sensors on the racket record all swinging actions including speed, posture, energy use, and striking force, and even 3D swing trajectories can be reviewed via the app But how does the napa smart badminton racket work Here's the principle sensors embedded in the racket handle automatically collect data, which, through AI algorithms, is linked to cloud big data When connected to a smartphone, various sports records can be viewed via an app The racket's sensors document every swing—its speed, energy consumption, posture, and power—and even 3D trajectories If used with a smart wristband on the same hand, it can also monitor heart rate and blood pressure, then through various big data applications, provide personalized scientific sports recommendations For instance, some players may swing too broadly with enough power but incorrect direction, or they may exert too much force during a swing but lack strength during impact These common training issues can be effectively addressed and improved through the napa smart badminton system Besides the napa smart badminton racket, the napa intelligent system can also be applied to baseball By installing sensors in the bat handle, swings can be recorded in real-time Smart sports application scenarios The primary target audience for napa smart badminton includes players and coaches, and it is also suitable for individuals who want to train independently Beyond badminton, the napa intelligent system can be applied to other sports like baseball The underlying principle is similar, hiding sensors in the bat handle to instantly record swing trajectories, enabling hitters to more precisely determine the impact position and power point Additionally, integrating more professional training, such as weightlifting—where Hsu Shu-ching won two Olympic gold medals—has gained more national attention Traditional training predominantly uses verbal instructions, such as directing athletes to apply a certain amount of force backward or forward, but these descriptions are abstract Integrating the napa intelligent system into weightlifting, for instance embedding miniature sensors in silicone gloves, would allow precise tracking of movement trajectories through app data, making adjustments more accurate with systematic data Massive Digital Engineering is actively collaborating with various badminton venues, aiming to upgrade traditional courts to smart courts using the napa smart badminton racket Massive Digital Engineering has recently started collaborating with various badminton venues to upgrade traditional courts to smart courts using the napa smart badminton racket They also continue promoting through sports communities, sports digitalization, experiential marketing, and other diverse applications to revolutionize the current sports industry「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2019-11-20
【2022 Solutions】 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

2022-04-13
【2020 Solutions】 Always Hears Your Voice - Aiello Voice Assistant

The development of AI voice assistants has become increasingly mature, but there is a lack of applications specifically for the hotel industry Therefore, the AI voice assistant developed by Aiello can complete room service, equipment introduction, check-out, and stay extension, making it a considerate AI butler The introduction of AI voice assistants into the hotel industry will help improve the experience of guests Google Assistant, Apple's Siri, and Amazon's Alexa are known as the world's three major voice assistants The applications of voice assistants are becoming growingly diverse, but they are mostly used in handheld devices, personal applications and home applications Some hotel operators are optimistic about demand in the hotel industry, and have introduced AI voice assistants into hotel industry applications, leading to the rise of smart hotels Aiello was founded in October 2018 and launched the Aiello Voice Assistant that supports Chinese and English The Aiello butler, which looks like an alarm clock, can assist with room service, equipment introduction, check-out, and stay extension after receiving voice commands from hotel guests Hotel voice assistant For example, if a hotel guest needs drinking water or newspapers, he only needs to say to the Aiello Voice Assistant "Please send a bottle of mineral water to my room" or "Please send a newspaper to my room" After the Aiello butler receives the guest's voice command, the customer service manager will directly send someone to deliver mineral water or newspaper This prevents poor service or even customer complaints because counter staff missed a call In addition to receiving instructions from guests, Aiello Voice Assistant can also combine the functions of a phone and an alarm clock, and has a built-in Bluetooth speaker, so that it can automatically play online streaming music with a single command, providing guests with a better service experience Deepening service scenarios and expanding practical applications Aiello Voice Assistant uses natural language processing NLP and semantic analysis to recognize customers' voice commands and complete multiple room services, reducing unnecessary communication time and potential human error Among them, semantic analysis is used to replace the rule-based model and the exhaustive method of linguistics It can understand at least three questions at a time, which is more in line with people's conversation habits and more adaptable to different situations, thereby deepening the service scenario Hsien-Hsien Liao, co-founder of Aiello, also believes that deepening the service scenario is the only way for consumer experience reach a certain level BERT proposed by Google also uses image analysis to replace the rule-based model and the exhaustive method of linguistics This technology has gradually become mainstream in the market The introduction of AI voice assistants into the hotel industry to provide services will effectively replace manpower to optimize and improve the quality and efficiency of room service The current version of Aiello is already online and will initially target the Chinese market The company is currently negotiating with hotel groups and system service providers in first-tier cities, and has two models monthly rental and buyout In the future, more services will be integrated to expand the business model, including calling taxis, purchasing tickets for entertainment, and booking travel packages In the future, the company will further design a new type of in-room service system specifically for hotels It transforms the in-room voice portal and the hotel's SaaS platform into a new retail channel to maximize benefits for hotel operators The current challenge is that it is difficult to find news and music content providers in Taiwan who are willing to cooperate in providing services However, as the system becomes more mature and the products continue to be promoted towards the hotel industry, more content manufacturers will be attracted to work with the company

2020-03-12

Records of Solutions

【解決方案】創博科技-智慧自助結帳系統 未來買東西好方便
【2019 Solutions】 NexCOBOT - Smart Self-Checkout System Makes Future Shopping Convenient

Imagine a future where all shops have no clerks, fully replaced by smart devices Simply placing items on the table and letting the intelligent self-checkout system handle the rest makes shopping convenient and easy This scenario is not far-fetched, as unmanned store projects have already emerged in Taiwan, such as the recent multi-million investment by FamilyMart to create their second tech-concept store Through human-machine collaboration and the latest technology, they aim to alleviate clerical work, and NexCOBOT hopes to bring this concept into unmanned stores to simplify the checkout process for consumers NexCOBOT introduces a smart self-checkout system, aiming to incorporate this technology into unmanned stores, simplifying the checkout experience for consumers Dedicated to smart retail solutions to enhance consumer technology experience NexCOBOT, a subsidiary of NEXCOM, specializes in the independent development of six-axis robots and smart retail solutions With the rise of the Internet of Things, the line between physical and virtual commerce has blurred NexCOBOT identifies three foundational elements of IoT commerce smart retail, smart logistics, and cloud-based real-time management systems Continually, NexCOBOT commits to smart retail solutions, addressing major pain points for business owners while considering enhanced technological experiences for consumers, hoping to pioneer unprecedented innovative applications When it's time to check out, simply place the items on the table, and a scanner will identify the products and display both the items and prices on the screen How does NexCOBOT's smart self-checkout system work When checking out, place the shopping cart's items on the table An overhead scanner performs image recognition, then the screen displays the types of products and the amounts Payment can then be made using cards, smartphones, or other payment devices It can even integrate with facial recognition systems, allowing customers to pay through face scanning, which saves the time previously spent scanning barcodes and queuing Additionally, the store can utilize backend analyses to track customer data and popular products Due to the need for precise image scanning, a detailed product database must be established beforehand The store can also analyze customer data and popular items through backend analytics Establishing a product database to gain control of product information Precise image scanning requires that all items have a previously established database Scanning could include detailed 3D images of merchandise like cookie boxes or drink cans The more detailed the database, the faster the checkout process and the more effective the backend analytics However, because of limited space on counters, scanning large volumes of merchandise could be problematic Initially, items easily recognizable like those in bakeries might be prioritized Additionally, NexCOBOT offers modular solutions such as smart shelves, smart self-order systems, smart self-checkouts, smart marketing dashboards, etc, all customizable as per the client's requirements Integration with existing systems such as Point of Sale POS, Enterprise Resource Planning ERP, Customer Relationship Management CRM, and Digital Signage is also feasible Besides using payment devices, it can even integrate with facial recognition systems, allowing customers to pay through facial scanning, eliminating the need for manual barcode scanning「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

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