AI is thriving in healthcare services, where pharmacists in community pharmacies are essential for providing drug knowledge and pharmaceutical services However, these pharmacists often spend much time manually processing prescription entries into systems, which takes away from the time they could spend on drug education, medication effectiveness tracking, and other professional services How can AI help community pharmacies to support pharmacists Tedious, time-consuming, and repetitive tasks, and AI solutions Pharmacy operations are under threat from new market dynamics and limited profit-making modes, making digital upgrades challenging for single-pharmacist community pharmacies Pharmacists, taking on multiple roles to understand the health levels of community residents, face tedious, time-consuming, and highly repetitive tasks that hinder the quality of service and make it difficult to respond to customers non-stop all year round Smart Pharmacist Assistant Service Platform Enabled by Jiankangli Technology's smart pharmacist assistant service platform's system architecture, paired with the mobile application 'Smart Good Doctor' and the backend system 'Smart Good Pharmacist', along with the integration of external development feature resources 'OCR Prescription Recognition' and 'RPA Process Automation Training Module RPA library' Primarily applied in clinics and pharmacies at the primary healthcare level, this aims to solve various operational challenges and pain points It includes using digital technology to improve work efficiency, bridging the gap between the public and medical institutions, enhancing the medical relationship, achieving better operational and manpower benefits Additionally, it enhances medication safety for the public and improves their knowledge on medications, while also reducing the daily burden on pharmacists in pharmaceutical services Smart Pharmacist Assistant Project In the current stage, the Institute for Information Industry's team is guiding the integration of pharmacy information system vendors with AI startups, focusing on the development of intelligent prescription image recognition technologies, along with drug image recognition and smart drug scheduling reminder technologies as key research areas This has led to the implementation of practical deployments in 12 community pharmacies in Greater Taipei With the help of the Taiwan Young Pharmacists Association in promoting these technologies, over 100 community pharmacy proprietors have expressed interest in adopting such technologies Once the integration of these service platform systems is complete, it will become a model for promoting AI services in Taiwan's community pharmacy pharmaceutical services「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Due to more feature points on the human skeleton than the face, Beseye can first capture more features for recognition, thus accuracy is 30 higher than companies that only recognize faces Additionally, Beseye can also deeply analyze human behaviors, such as falling, violence, shopping, etc Human spine analysis technology is 30 more accurate Traffic accidents happen almost every day, with railroad crossing accidents being the most severe Cloud Guardian has launched an AI video analysis platform that analyzes 'human behavior' through various AI analyses, effectively preventing traffic accidents and can also be applied in any venue with human presence Beseye’s AI video analysis platform is based on deep learning AI, accurately identifying 'human' images Cloud Guardian is a technology company specializing in AI security camera analysis services, providing automated security analysis and protection When applied in stores, it can also help analyze customer distribution, achieving savings in labor monitoring cameras and time costs Insight into customer flow, demographic, and consumer behavior with deep data analysis A key aspect of this AI analysis system is the use of Beseye's 'AI Video Analysis Platform', the core technology being deep learning-based human spine analysis technology Skeleton-Print Technology, which can deeply analyze various human behaviors Its accuracy is 30 higher than general face recognition AI engines available on the market Wherever there are people, Beseye guards you Beseye's 'AI Video Analysis Platform' primarily offers three major services First is 'AI-based Human Detection', which, as the name implies, when an intruder is detected, the system automatically sends a push notification, so the user does not need to constantly watch the video feed, but can easily grasp the real-time dynamics of the area Next is 'AI-based Characteristics Analysis', which actively sends a notification when an unfamiliar person is detected If applied in stores, it can also exploit intelligent commercial reporting features to know detailed customer and consumption behaviors, allowing stores to make corresponding sales strategies Finally, 'AI-based Behavior and Posture Analysis', by analyzing human posture, understands which products in the store have higher interaction rates, for example, observing the customer staying longer in front of a certain counter can determine product hotspots Of course, Beseye's 'AI Video Analysis Platform' is not only applicable in shopping centers, almost any public place you can imagine can use it As mentioned in the first section regarding the railroad crossing scenario, simply install surveillance equipment that supports AI analysis at the intersection, paired with designated analysis software It can accurately identify human features and actions within 50 meters As a train approaches, if someone tries to cross the track, the system will immediately detect the person’s age, gender, and mobility state If they are using a cane or wheelchair which causes slow movement, the system will display a risk index Once the situation becomes dangerous, it will immediately notify the control center and station staff, allowing them to handle the situation in real time, thus preventing accidents or track-laying suicides Detecting dangerous events in traffic areas If this artificial intelligence video analysis is applied in hospitals or long-term care centers, through Beseye's proprietary human spine analysis technology, it can detect whether an elderly or patient has fallen, similarly notifying medical staff or emergency contacts in the first moment, minimizing the incidence of accidents and providing a safer environment for the elderly From analyzing shopping mall consumer behaviors to elderly home care, the use of imaging analysis expands the application of diverse venues Human spinal analysis when falling Cloud Guardian is now collaborating with Japan Tokyu Railways in the railway crossing safety system, and with the world's top three mobile brands in flagship stores across Taiwan, as well as major Taiwanese malls and telecommunication companies like Chunghwa Telecom and Far EasTone The services adopted are Cloud Guardian’s AI camera security and business analysis besides shops, traffic, and hospitals, they can also be used in banks, factories, schools, and homes Wherever there are people, Cloud Guardian is actively guarding, which is also the company's main purpose「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Although there are many facial recognition access control products in the market, it is common problem of not being able to find features when there is insufficient light, when using photos for testing, or when using a mask for testing This has resulted in many security loopholes in using facial recognition for access control The proprietary 3D facial recognition developed by 5Voxel can increase the accuracy to 99, making it the best partner for access control equipment manufacturers to enter the international market Current technologies have many security loopholes, 3D facial recognition has extensive applications 5Voxel is committed to the development of proprietary 3D Camera software and hardware, and has 3D image processing, bottom-layer network firmware, and embedded hardware technologies The current mainstream RGB image recognition system in access control systems has many shortcomings, such as passive reception and requiring sufficient lighting Otherwise, it will can easily be limited by the lighting and will not be able to perform effective recognition Therefore, in a darkroom or when there is not much difference in the image with the adjacent area, features cannot be obtained and the facial recognition system will be "useless" In addition, conventional facial recognition access control systems cannot stop someone who intentionally uses a photo or mask to gain access Therefore, the market urgently needs a total solution for access control Capturing facial depth features so there is no where to hide 5Voxel uses proprietary 3D technology to capture multiple facial depth features, and can complete facial recognition without being affected by lighting The current mainstream technology in the market is Face This technology only has 2D image recognition, which has many security loopholes, and needs to capture actual images of faces 3D facial recognition technology will more easily be adopted in fields with high sensitivity and high privacy concerns This new 3D facial recognition AI control application adds a reliable biometric mechanism, without the need for additional carriers, and without the concerns of identity theft when using credit cards or fingerprint recognition In addition, 5Voxel's proprietary technology was completely developed domestically and is not limited by Apple Face ID technology It has developed a total solution for access control, and provides applications other than mobile phones, including access control, smart door locks, and electronic payment 5Voxel is currently working with major domestic access control equipment manufacturers, and has accumulated access data of more than 20,000 personnel to improve the model's accuracy 5Voxel combines its proprietary technology with products, which not only optimizes the accuracy of its technology, but also improves the practicality and value of products Therefore, the subsequent derived benefits and diffusion has attracted NEC manufacturers, and will also adopt the same solution as Intel In addition, the solution can also be applied to medical institutions and nursing institutions with high privacy requirements, providing new control solutions and early warning systems that fully utilize facial recognition systems nbsp

Jiude Songyi Company, with 40 years in motor-related equipment manufacturing, introduced a dynamic license plate recognition system with an accuracy rate of 989 to effectively monitor vehicles entering and exiting the factory area The system uses AI technology, making vehicle management both time-efficient and effortless License plate recognition systems are a fundamental application of intelligent image analysis Using cameras to capture images of license plates, the system then analyzes and processes these images to recognize the plates Kangqiao Technology, established in 2008 by a team of LED developers and software engineers, specializes in LED product applications, developed license plate recognition and Etag integrated systems, primarily for domestic and international public works projects Recently, the III AI Team collaborated with the Taiwan Energy Technology Service Industry Development Association to explore real-world applications of license plate recognition technology They identified three major issues faced by Jiude Songyi Company at this stage 1 Currently, the company gate has no barrier machine or other control equipment Vehicle entry and exit rely entirely on manual control and recording If no personnel are present, vehicle movements cannot be controlled 2 When issues arise, the existing surveillance system has to slowly search for data to locate the problematic vehicle, which is very time-consuming and inconvenient 3 When the footage is found, it is often difficult to clearly identify the license plate, and even if found, it is not possible to verify the vehicle owner Solving Three Major Problems, Providing Four Major Functions After understanding the actual needs of the enterprise, according to the license plate recognition system architecture established by Kangqiao Technology, real-world validation was conducted on-site, with monitoring computers set up in the control room Kangqiao Technology License Plate Recognition System Architecture After installation, the main functionalities of the license plate recognition system are as follows 1 When vehicles enter or exit, high-resolution smart cameras can identify license plates and capture images, recording the license number and vehicle status 2 When file retrieval is needed, vehicle data can be searched by time or license plate information, allowing quick access to the required video files, saving considerable time 3 The use of high-resolution smart cameras significantly improves image quality, which helps in clear identification in case of incidents 4 With registered license plate data, a blacklist and whitelist database can be set up, facilitating the management by security personnel The advantage of license plate recognition is that it fully automates vehicle entry and exit control, reducing labor costs The software helps to prevent misuse of license plates and eliminates the issues of remote control, induction buckle loss, and borrowing by unauthorized persons Vehicles can enter and exit without using a remote control or rolling down the window The long-distance license plate recognition allows gates to open while the vehicle is still moving, eliminating the waiting time for parking Kangqiao Technology License Plate Recognition System Setup in the Management Room The III AI Team states continually collaborating with relevant associations, from identifying corporate needs, setting topics, linking teams, introducing real-world validations, to systematically assisting enterprises in need to adopt AI technology and solve industrial problems, aiming for the AI transformation of industries In the future, it will continue to help enterprises harness technology tools to overcome business challenges「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Plant safety is a crucial aspect of industrial security Currently, many surveillance cameras are used in conjunction with manual monitoring by security personnel to provide information However, manual monitoring has its limitations Implementing an AI system to assist in detecting abnormal behaviors and facial recognition can significantly aid security personnel by covering blind spots in manual monitoring Located in Shimen District, New Taipei City, the Jinshan Nuclear Power Plant is nestled between mountains and the sea, boasting picturesque scenery However, this first nuclear power plant in Taiwan is entering its decommissioning phase and will soon become a part of history With the decommissioning process underway, numerous external contractors will be entering and exiting the complex, complicating access management The need for continual safety monitoring of external construction to ensure nuclear safety is critical Additionally, although the Lungmen Nuclear Power Plant is currently mothballed, it still contains sensitive areas and requires a reduction in staff presence, thus prompting an urgent demand for smarter safety management With assistance from the Taiwan Nuclear Level Industrial Development Association, the AI team at the Institute for Information Industry aims to tackle the issues of safety and occupational safety at the Jinshan Nuclear Power Plant with minimal staffing Based on interviews, the technology needs identified for AI implementation at the plant include personnel access control and safety monitoring of personnel and the plant area Facial Recognition AI Solves Two Major Challenges Personnel Access Control and Plant Safety Monitoring For personnel access control, a facial recognition system is deployed at the nuclear power plant Utilizing the uniqueness of human faces and AI's high recognition rate, the effectiveness of the plant's personnel access control is enhanced In terms of personnel operations and plant safety, an abnormal behavior detection system is also deployed This system utilizes AI to recognize abnormal or dangerous behaviors from the postures of individuals captured by surveillance cameras, promptly providing feedback to safety personnel for action Selected by the Institute for Information Industry, the solution from Wantech Intelligent Sensing abbreviated as Wantech focuses on developing facial and posture recognition functionalities After several discussions with Wantech, Google's Facenet and Posenet algorithms were chosen for implementation Facenet, requiring only 128 dimensions per face image, achieves optimal performance with just a few photos, making it particularly suitable for building industrial-grade facial recognition systems Posenet, used for motion detection, transforms data via a Data Processing Unit DPU into a format suitable for machine learning algorithms—Support Vector Machine SVM—for binary classification of human postures into falling or not falling categories Utilizing Visual Pages for Clear Management Interfaces The user interfaces for both systems are implemented using Python's web framework Flask, which provides web services adaptable across different operating systems, achieving a cross-platform purpose The Glasses App is developed using Unity to access web data In recent years, advancements in AI technology have increasingly incorporated facial recognition into safety management The unique characteristics of facial features eliminate the risks associated with RFID forgery and offer higher accuracy compared to other biometric recognitions fingerprints, voiceprints, complete objectivity devoid of personal bias, easy system setup and maintenance, and fully automated operations requiring no additional manpower Undoubtedly, incorporating facial recognition into safety management systems can significantly enhance the safety factor of the plant while reducing management complexities Body Posture Recognition Operating in the Laboratory Taiwan has four nuclear power plants, bearing significant management costs Continued implementation of AI technology solutions can not only reduce labor costs but also significantly enhance the effectiveness of safety management「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Shield Heart Technology is one of the few companies globally that possesses both computer vision and machine learning capabilities After two rounds of funding, it successfully raised 98 million and now focuses on the security market, serving long-term paid corporate clients in over 30 countries The traditional use of security systems is being revolutionized With the integration of artificial intelligence in security systems, community guards can monitor cameras deployed throughout the community via smartphones Upon receiving alert SMS from the surveillance cameras notifying about suspicious activities in underground parking lots or residents fainting suddenly, real-time video footage enables guards to immediately notify ambulances for assistance Event Notification Mode Diagram This intelligent security system capable of precisely identifying various types of emergency safety incidents is powered by an image recognition software platform, using new technologies from the branches of artificial intelligence—computer vision and machine learning AI Security System Applied to Multiple Devices AI Security Significantly Reduces False Alarms Traditionally, building surveillance involved continuous recording by cameras, with personnel monitoring the footage to detect dangers However, due to human limitations, sometimes lapses in attention could lead to delayed detection of intruders, with incidents only compensated for by post-event video tracking—lacking preventive effects Additionally, camera recordings, triggered by animals passing by, often lead to false alarms, exhausting personnel in verifying these incidents Shield Heart Technology's system uses user behavior as the basis for recognition, employing computer vision recognition and machine learning techniques By understanding the patterns of users entering restricted environments, the AI learns to identify and alert dangerous situations without false alarms caused by animals or other miscues, achieving a zero false alarm rate Umbo Light Recognizes Users 'AiCameras', 'TruePlatform' cloud management platform, and 'Light AI Image Artificial Intelligence' are three products that make up the Umbo CV series of security services The front end is the AiCameras, and the backend is the TruePlatform management platform, which manages the latest content from cameras on all devices and makes real-time adjustments Light AI serves as the 'brain' that bestows artificial intelligence capabilities on the products, creating an extraordinary AI security system Dong-Yan Chen, the business development manager at Shield Heart Technology, states that there are currently 300 million surveillance cameras worldwide, with less than 1 incorporating artificial intelligence In Taiwan, campus safety concerns for primary and secondary school students have become a major focus for parents and the public, making it the best and largest market for AI security「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

"The love of beauty is human nature" Skin and hair condition is extremely important to every woman who pays attention to her appearance Among the dazzling array of beauty and hair products, how to select suitable products through professional testing has become a competitive advantage in the industry Do you really know the condition of your skin and scalp Many people regularly use a variety of skin care products to care for their scalp, but this alone may not be enough Sentra Smart, established in 2015, developed the Alluring detection system, combined with the proprietary scalp detection instrument, so that the public can gain an in-depth understanding of their scalp health Sentra Smart has a professional technical team and is growing rapidly in the field of beauty and hairdressing By actively working with academia and beauty industry leaders, the company engages in technical exchanges with professionals such as doctors and professors We are committed to becoming the most ideal health consultant in the minds of consumers The Alluring detection system uses the latest artificial intelligence AI deep learning and cloud computing technologies to provide instant analysis and personalized product recommendations, simplifying the operation process, saving time, and reducing training costs In addition, the system supports cloud backup and data synchronization to ensure the security and convenience of user data Scalp detection system helps diagnose skin problems and prescribe appropriate treatments The Alluring detection system can not only perform in-depth skin and scalp diagnosis, but also provide targeted care recommendations based on high-definition microscopic images of the scalp and analysis reports to help users solve problems such as excessive sebum secretion, inflammation or pigmentation, thereby improving scalp healthLet's pursue beauty together, starting with understanding your own scalp Test for common scalp problems and analyze them one by one Our skin tester is specially designed with six testing items for skin, and can accurately display oil level, acne, skin tone uniformity, sensitivity, moisture content, and pigmentation The most common problem is skin spots appearing in the test area After testing and in-depth analysis, we can not only understand existing problems, but also obtain professional conditioning recommendations or diagnosis and treatment plans, experience truly personalized skin care, and restore the skin's natural radiance Test for common facial problems and analyze them one by one The Alluring detection system realizes instant identification and analysis of consumers' skin and scalp conditions through a revolutionary interactive APP platform With the powerful database of the fourth-generation system, it has collected tens of millions of images and has completely surpassed the traditional visual recognition method At present, this system has been adopted by the top three hair salon chains in Taiwan, as well as major professional hair product companies in Shanghai and Hangzhou in China According to feedback from the stores, after using the Alluring system, revenue increased by 30 and customer satisfaction improved by 50, gradually building a good reputation in the beauty and hairdressing industry The Alluring detection system of Sentra Smart is widely used in hair transplant clinics, hair salons, beauty SPAs, dermatology clinics, and related vocational schools, with an extensive customer base The company's business is not limited to Taiwan, and its markets include Taiwan, Singapore, Malaysia, Vietnam, Thailand, Japan, Hong Kong, and China Currently, the system has 2,500 online customers By combining the B2B2C business model, we are committed to creating a personalized healthy new lifestyle for consumers, while guiding beauty and hairdressing companies into the era of technology-based marketing, greatly saving time and costs, and creating greater business value If you want to learn more about Alluring AI ScalpSkin Condition Detection System, AI ScalpSkin Condition Detection System Link httpssentrasmartcomrecommend

Founded in the summer of 2015, Summit Fujitsu launched during the rapid development of the AI industry, utilizing the experience from ASUS Cloud to effectively deploy the Zenbo robot in the preschool market, making a significant mark in the flourishing AI application field Zenbo Baby, the Little Preschool Assistant Robot AI has undoubtedly become a futuristic trend, with many household and commercial robots emerging The introduction of Zenbo has not only brought new applications to the preschool market but has also become an effective tool for both teachers and parents Developed jointly by ASUS and Summit Fujitsu, Zenbo Baby is an AI-powered robot designed primarily for the early education industry, serving roles like caregivers in 'daycare centers' and 'kindergartens' By integrating Zenbo's unique interactive features, educators and parents can efficiently monitor children's health and educational progress They can also maintain a constant communicative link via a mobile app download, fostering teacher-parent relationships and mutual growth Zenbo baby service illustration The thoughtful helper in kindergartens, offering great peace of mind to teachers and parents In addition to features like 'facial recognition for roll-calls', 'medicine dispensingreminders', 'real-time video remote control', and 'digitalization of comprehensive evaluation data', Zenbo Baby also includes a wide array of interactive educational materials, as well as engaging digital stories and songs These enhancements add excitement and attraction to the curriculum, thereby enhancing children's focus and enabling teachers to create a fun and ideal learning environment through the use of technology Facial recognition roll-call Zenbo has the capability to detect and interact with individuals Upon children's arrival at kindergarten, it uses facial recognition to greet them, play pre-set music, and perform roll-calls Automatic temperature recording Children are susceptible to contagious diseases, especially the flu By automatically measuring their temperatures daily, Zenbo helps monitor their health status, administers medicine timely, and thus prevents cross-infection Medication reminder If several children in a class are ill at the same time, teachers can use Zenbo Baby to set up medication reminders to ensure they take their medicine on schedule Parent pickup notifications Parents can inform their expected arrival time via the app before reaching the facility Zenbo will then announce when parents are about to arrive, allowing teachers to orderly manage the pickup process They can assist children in packing their belongings and putting on their clothes early, while accurately monitoring each child's entry and exit Despite the challenges of a declining birth rate, every child is precious to their parents Summit Fujitsu's Zenbo Baby, equipped with numerous thoughtful features, aims to provide a safe and caring environment for children through AI-powered robotic assistance Currently, Zenbo Baby has been integrated into over 20 kindergartens across Taiwan, with more than 500 devices installed, continuing efforts to improve services to the preschool industry「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Targeting over 21 million Line users in Taiwan, Zhang Zhikai, with five years of app development experience at ASUS, aims to create a lightweight and fast online service By choosing Line as the starting point, he established SiYan Technology, assisting Taiwan's SMEs to adopt the new retail trend in a cost-effective manner Behind these significant numbers, can the hidden business opportunities be seized According to statistics, by the end of 2018, Line users in Taiwan exceeded 21 million, with over a billion messages sent daily On average, each individual sends more than 60 messages throughout the day, with Line becoming an integral part of daily life - from the moment they wake up, through meals, and even before sleep, always staying connected with friends and family via Line Line offers a one-stop online shop service Zhang Zhikai, the co-founder and CEO of SiYan Technology, noted that developing an app involves substantial initial and ongoing marketing costs to reach users' smartphones The cost of developing an app runs between 300,000 to 500,000 NTD, and the ensuing marketing expenses can be staggering These high costs make it challenging for small and medium businesses to afford the app on their own, which could hinder business transformation Therefore, SiYan Technology has developed the Line one-stop online shop service, which uses data analytics to better manage membership communities, continuously evolving an AI membership management system to optimize various functions and effectively retain customers Line provides multiple service features Segmenting customer groups, offering precise and personalized promotional services SiYan Technology's developed AI membership management system aggregates data from consumer records and user activities on Line It categorizes users based on their loyalty into VIP customers, fickle customers, and ghost customers Marketing strategies are then tailored for different groups For instance, VIP customers might be offered incentives like deposit bonuses fickle customers might receive discount coupons to encourage retention and ghost customers may be overlooked to save on marketing expenses, hence concentrating resources for more significant revenue growth for SMEs Line allows for custom customer tags, identifying customer groups At this stage in the market, such applications are either supplementary software or priced too high, making them unsuitable for small to medium-sized businesses Zhang Zhikai expressed that the AI membership system developed by SiYan Technology is particularly well-suited for street-side shops or traditional service businesses like laundromats and catering Traditionally, these businesses have low control over their customer base, and Line's one-stop online store service aims to be fast, low-cost, and easy to use as long as the business has Line, with no need for complex programming, making it a simple and quick service for small and medium-sized enterprises to adopt Since its launch, the AI membership system combined with Line's online store service has accumulated over 2,000 data entries As more businesses join and the number of members increases, the substantial amount of data collected makes the AI system more intelligent and humanized, allowing businesses to understand their customer profiles more accurately「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Synnex Technology, established just two years ago, self-positions as a Smart Factory Cloud AI Manager, focusing on the management of 'water, gas, oil, and electricity' to assist factories in becoming more energy-efficient and effective Founded at the end of 2017 from a division of the Institute for Information Industry, Synnex received substantial investments from major entities like Lite-On Technology, Yeong Yang Technology, Polaris Ventures, and the National Development Fund during its first funding round, showcasing strong market confidence in its future development Given that all factories and buildings utilize energy, there is a significant demand for energy conservation, revealing endless business opportunities Energy includes four major manageable components 'water, gas, oil, and electricity' Synnex begins with these components, focusing on their respective equipment such as air compressors for 'gas' and distribution panels, transformers, and generators for 'electricity', before advancing to process equipment like motor operation 'Water, gas, oil, and electricity' four types of energy management At the present stage, Synnex offers two major solutions products, one targeted at factories and the other at science parks or industrial parks Thus, by the end of 2018, Synnex positioned itself as a '24-hour Factory and Park Cloud AI Manager', emphasizing its expertise in energy and equipment domains AI Manager targets the rigid needs of factory buildings In major domestic factory areas, variable frequency motors are commonly used as facility equipment Usually, for stability, regular maintenance is required to avoid production line disruptions due to a single piece of facility equipment, clearly a 'rigid demand' Yet, current solution prices from equipment providers are high, while the effectiveness is poor, failing to truly meet the maintenance needs of the manufacturing industry For example, in lens grinding which uses motors, if a motor functions abnormally causing high vibrations, continued operation would shift the focus of the lenses, likely resulting in defective products Through Synnex's motor diagnostic technology, effects caused by external equipment can be detected and yield rates improved, allowing production lines or facilities to operate more smoothly Setting for abnormal condition warnings is possible In traditional factory settings, when motors malfunction causing the production line to report insufficient compressed air pressure, equipment replacement is initially prioritized, awaiting factory confirmation on the issue later However, often the problem is minor yet incurs substantial replacement costs With the introduction of AI models, real-time monitoring of critical parameters such as temperature and current is possible Through parameter analysis, diagnostics are categorized into health assessment and operational analysis Maintenance can address health issues, but if operations are not smooth, replacement becomes necessary Once issues are clarified, appropriate decisions can be made accordingly Immediate or scheduled automatic diagnostics can determine motor health and potential issues Hence, Synnex's core technology overcomes numerous barriers from communication modules, networking devices, cloud platforms to application services, and with an integrated software-hardware capability, allows traditional equipment to be commercialized as networked products within ten days This immediate integration into In-Factory and In-Park cloud AI application services assists businesses in keeping up with the IoT era, achieving an integration of software and hardware, and developing more industry-appropriate application services「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

AI automated optical inspection AI-AOI and Artificial Intelligence of Things AIoT are used for deep learning model training, achieving AI predictions and pushing factories towards automation Recognized as 'experts in intelligence image analysis technology', Wise Stability Tech becomes the third eye for companies through image recognition In recent years, Artificial Intelligence AI has been widely applied across various sectors including finance, retail, transportation, manufacturing, and automation industries, forming the core of 5G, IoT, and industrial development Advanced countries are racing to invest significant resources in the development of AI technology Founded in 2016, Wise Stability Tech focuses on image recognition solutions for smart factories, particularly emphasizing the application of AOI Automated Optical Inspection The team possesses capabilities in electromechanical integration, excelling in image recognition applications such as product inspection, attendance, and facial recognition, establishing a complete AI positive feedback loop with clients Wise Stability tech becomes the 'third eye' for companies through image recognition The specific approach begins first with data evaluation and consultation secondly, data organization and labeling thirdly, AI algorithm selection, verification, and AI training services These three steps provide companies with a comprehensive hardware and software integration solution, grounding the latest AI technology for practical use and solving enterprise challenges effectively Wise Stability Technology Service Model Using an API integration approach to implement AOI testing significantly reduces defect rates Wise Stability Tech uses high-precision AOI optical image inspection systems and installs industrial cameras By adopting deep learning methods, various fabric defects are automatically categorized, significantly reducing defect rates The introduction of AI technology is facilitated through API integration, providing AOI inspection services with a total quality control standard up to LFW998 Wise Stability Tech currently focuses on fabric defect inspection Traditionally, textile inspections were done only by the human eye, a method that could reduce yield rates under long-term workload Replacing visual checks with AI recognition and integrating it into the production line quality control and service environment maintains high-efficiency defect inspection As it is non-manual operation, it avoids fatigue, not only upgrading the recognition rate but also shortening the inspection processing time, thus stabilizing and enhancing quality control Additionally, it enables a better understanding of other factors affecting quality through inspection processes, achieving production improvements and standardization goals Wise Stability Tech offers multiple services moving towards Industry 40 However, during the implementation process, some clients have high expectations for AI, believing that just by introducing AI, it can replace existing manpower and solve all problems on the production line But in reality, the value of AI lies in accumulating a large amount of high-quality data, which is then converted and analyzed to build AI training and verification models Only through processes like machine learning and deep learning can the problems caused by manual operations be completely resolved and operational procedures optimized Therefore, the AI image recognition technology and deep learning algorithms developed and trained by Wise Stability Tech have incorporated intelligent image analysis technology into the manufacturing chain In addition to the already implemented fabric defect detection, these technologies can also be applied to workplace safety event recognition, defect inspection systems, and various customized recognition services, providing a diverse application environment「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

We are in the era of 'video is king' According to statistics, 500 hours of video are uploaded to YouTube every minute, but most are overlooked by consumers with only a few YouTubers gaining market popularity However, even ordinary people can now produce good videos and create memorable, exclusive memories for themselves OmiCam shares immersive experiences Visionary Tech, located at the National Taiwan University incubation center, is a service company that adds value to videos Their AI image enhancement solution employs intelligent image correction systems to eliminate shaking and fluctuations in videos, making them smoother and easier to watch Additionally, using a multi-lens hybrid computation system and intelligent image computation, the solution enhances the quality of low-light and low-resolution videos or employs a software-based intelligent image effects engine to provide time-lapse, slow-motion, and zoom effects In fact, Visionary Tech launched the OmiCam wearable panoramic camera in 2016, creating a craze The camera was crowdfunded on Kickstarter in the United States under the project name MySight360, and it performed better than expected Continuing on this success, they collaborated with 'bad friends' and managed to crowdsource a pre-order of 4 million, totaling 10 million front to back, unexpectedly causing a 360-degree whirlwind This wearable panoramic camera, suitable for mountaineers and backpackers, allows users to easily carry and use, and with just a small camera, they can traverse mountains and travel the world with their eyes The best partner for video post-production, about saving one-tenth of the cost Visionary Tech, through machine vision and machine learning technologies, offers the 'AI Image Enhancement Solution' Unlike its competitors, within the same video, if object A has zoom-in, and object B does not, it learns from the zoom-in effect of object A to simulate the zoom-in outcome for object B Moreover, AI-shot also simulates the dynamics of the human eye even if the camera is flipped, the image will automatically correct itself AI Image Enhancement Solutions Although producing a video nowadays is easier than in the past, ensuring high-quality imagery still relies on post-production enhancements such as eliminating video shaking and improving resolution to make the content more premium Visionary Tech utilizes an intelligent image correction system, not only making videos smoother and easier to watch but also enabling various special effects Using artificial intelligence, Visionary Tech automatically selects a large volume of videos to determine the appropriate angle and applies the suitable cinematographic mode It then syncs with musical beats to produce high-quality videos From selection, to the automatic cutting aligned with selected music, it saves about ten percent of human labor costs, significant for large-scale video production or consumers who wish to quickly complete video production, saving a substantial amount of costs「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

The construction industry is Taiwan's leading industry, supporting the architecture, decoration, and repair sectors However, the high incidence of occupational accidents in this sector is a major concern for both employers and workers The introduction of AI for equipment recognition in the construction industry reassures companies and protects workers, creating a win-win situation According to the Ministry of Labor's 2017 statistics on occupational injuries, the average rate of occupational injuries per thousand workers across various industries is 2773 However, the construction industry tops the list with a rate of 10036, which is 36 times the average and categorizes it as a high-risk group for occupational injuries Proactive early warning measures can significantly reduce the rate of workplace accidents In light of this, the Institute for Information Industry, under the mandate of the Ministry of Economic Affairs' Industrial Development Bureau, has initiated an AI project that prioritizes the implementation of AI technology in the construction industry Selecting well-known construction firms in Taiwan, the project applies Canon's safety helmet proper wearing recognition solution to reduce occupational accident rates Smart Recognition of Safety Helmet Wearing A Solution for Employers Senior executives in the construction industry emphasize that compared to other industries, construction workers face higher health and safety risks primarily at construction sites Many risks arise from the workers not properly wearing or using personal protective equipment, such as safety helmets Relying solely on human supervision for ensuring safety gear compliance is time-consuming and often ineffective Implementing AI technology for smart monitoring on construction sites can save corporate resources while ensuring worker safety, achieving dual benefits Indeed, to protect workers during operations, construction plants require workers to properly wear safety helmets Wearing a helmet does not imply it is worn correctly To prevent the helmet from falling off during operations, it is necessary to securely fasten the chin strap directly under the chin after putting on the helmet 工地用安全帽正確佩戴方法 At construction sites, many foreign workers often do not follow proper safety protocols, such as not wearing safety helmets correctly If supervisory personnel were to be assigned, it would entail excessive use of human resources With the assistance of the information strategy team, major construction companies have adopted Canon's image recognition technology To determine the optimal placement of image recognition cameras, both teams first conduct site surveys and collect various types of safety helmets used on-site Subsequently, standard cameras are installed at entry points of construction sites and work zones to capture footage of the site personnel This footage helps Canon develop models for correctly and incorrectly worn helmets, aiding the image recognition software in its learning phase Canon's engineers regularly visit the site to retrieve footage, and once the image recognition software achieves a certain accuracy level, the image recognition cameras are then installed at the construction site 佳能工地安全帽資料搜集攝影機設置 Improving Recognition Accuracy for Concrete Implementation of Workplace Safety Currently, no local technology can accurately recognize the proper wearing of safety helmets Therefore, Canon has developed and trained its own recognition software The complex environment at the actual installation sites can impact the effectiveness of recognition In the future, machine learning will significantly enhance the overall recognition accuracy, ensuring that safety measures involving the wearing of safety helmets are concretely implemented While AI recognition technology is introduced in the construction industry's safety domain, it can also be integrated with mobile devices for early warning In practice, once a camera captures recognition data and processes it, the results can be pushed immediately to specific individuals such as safety managers on their mobile phones, tablets, or even linked to access control systems If a worker is detected without a properly worn safety helmet, relevant personnel can be alerted promptly Access can be denied until the worker correctly wears the safety helmet, offering considerable potential for future applications「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Facebook founder Mark Zuckerberg once said, 'By 2018, 90 of content marketing will be video marketing' The power of video marketing is immense, evident in everyday life on platforms like YouTube, Facebook, and Instagram, where there is a noticeable trend towards more video content Also, consider whether a 30-second animated video captures your attention more effectively than a lengthy article The Digital Age Where Video Marketing Reigns Supreme Currently, video search volumes have surpassed traditional searches A sprawling text piece simply cannot compare with the appeal of seconds-long video content Yet for traditional media or blogs with a vast 'text library', and e-commerce companies that rely on video advertising for revenue, limited video production capabilities and the inability to quickly produce large volumes of content are major issues Finding a platform that can quickly produce videos has become a critical need According to industry surveys, producing a 30-second to one-minute video can take at least one hour The costs in terms of manpower and resources are not sustainable, especially for large media outlets However, Jiya Technology's 'GliaStudio' AI robot can produce a video in just five minutes, addressing the high costs and production limitations associated with video content creation Jiya Technology has independently developed an automated AI video production platform that currently offers services for instant news videos and marketing videos Users simply need to paste the content or URL intended for video conversion onto the platform The AI robot then utilizes natural language processing algorithms to analyze the main themes and keypoints of the content, producing a segmented video script Building on this script, the AI robot automatically searches the user's media library for relevant imagery to compose into the video, thereby enabling the easy production of varied video versions Enriching Everyone's Daily Life Jiya Technology’s Chief Operating Officer, Agnes, states 'We believe that stories give technology its meaning and purpose In this era dominated by video content, our goal is to help media professionals and marketers effectively convey their stories through videos on social media, even without professional video editing resources' Taiwan's largest social media platform, PIXNET, has also collaborated with Jiya Technology to develop the 'One-click to Video' APP Bloggers can use their PIXNET account to log into the 'GliaStudio' AI video production platform, automatically and swiftly converting their blog’s textual and graphical content into videos These videos can then be directly embedded into PIXNET articles, presenting the creative content in a more dynamic and engaging way Schematic representation of video content on social media According to production efficiency statistics, GliaStudio can reduce the time spent by 50 This allows content creators to engage in higher quality work while freeing bloggers and marketers to invest more time and effort into creating superior works and serving members, with the task of video production handled by the most popular AI robots 'GliaStudio', an artificial intelligence automated video production platform, incorporates multiple AI technologies including computer vision and natural language processing Using natural language processing techniques, the machine understands the content and key points of an article and links these features to applicable video content, images, and other media materials Through extensive training of video content models, it produces videos that are of high content quality and match user viewing behaviors, helping brands, businesses, and media companies produce high volumes of video content at sustainable costs while continuously using artificial intelligence to enhance everyone's life「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」