How to integrate consumer data from various group companies to create advertising synergy and enhance the conversion rate of e-commerce guided orders is probably what every cross-industry business owner dreams of No problem, this can be achieved gradually through AI Eastern Home Shopping is affiliated with the Eastern International Group, which includes East International, Eastern News Cloud, Eastern Insurance Representatives, Eastern Natural Beauty, Eastern Global Marketing, Eastern Pet Cloud, HerEastern, Focus Media, Hong Kong Strawberry Net, and Bear Mom's Vegetable Market, among other companies With cross-industry and cross-domain relationships within the group, and independent operations of membership systems in each unit, consumer data could not be exchanged within the group, making it difficult to uphold Eastern Group's promise to 'place customers in a godly position' Eastern Group’s companies cover a wide range of industries, with large and scattered member databases The Eastern Group boasts significant member traffic and has applied AI news recommendation algorithms and other related technologies across various venues However, the independence of member systems in each unit of the Eastern Group prevents the exchange of consumer data within the group, lacking a comprehensive basis for consumer behavior analysis This results in the inability to enhance the precision of personalized services and marketing strategies When analyzing the challenges and trends of the current retail market, Eastern Group remarked that in response to changing consumer demands, non-traditional business models are emerging, leading to the fragmentation of retail Various emerging business models provide services or products catering to their niche markets, leading consumers to rely less on traditional retail models Retail fragmentation, becoming more apparent in emerging countries, rapidly develops new forms of retail such as high-growth flash sale eCommerce, which threatens traditional B2B2C eCommerce platforms These emerging business models quickly divide traditional retail spaces and could revolutionize existing market rules The retail market is expected to continue evolving towards segmentation The rapid integration of AI applications in the new retail industry to meet highly competitive markets Under the trend of merging physical and digital realms, the line between offline retailers and online e-commerce is increasingly blurred Offline retailers are setting up brand official websites and developing brand apps, investing in e-commerce platforms, while e-commerce operators are starting to established offline physical experience stores, enhancing touchpoints with customers Both are exploring consumer data profiles through offline-online integration, based on AI technologies like machine learning, deep learning, computer vision, language processing, mobility control, and decision-making technologies to actively integrate intelligent retail AI applications, shaping the new retail industry Additionally, Google Chrome claimed in 2021 that it would disable 3rd party cookie functionality within two years, causing retail companies to lose the ability to track personalization via Cookies and understand user behavior across different times, locations, and ads This will prevent cross-device, cross-platform tracking, forcing companies to transform and face big challenges in traffic advertising sales Therefore, the Eastern Group decided to implement the 'OneID AI Traffic Monetization Service Validation Plan', establishing an exclusive data alliance for the Eastern Group, using 'Unified ID' for cross-industry, cross-service data exchange Transforming from collecting personalized data of related companies to analyzing common behavioral characteristics of consumers across industries, segmenting them to obtain users with similar behaviors, and providing interesting content Additionally, utilizing first-party data and AI technologies to improve ad click-through rates, enhancing the advertising value and e-commerce guided order conversion rates This AI technology project is co-developed by Eastern and ASUS computers, encompassing major development tasks such as project planning, system architecture design, system environment setup, algorithm development, algorithm model validation, and system verification The employed technologies include a big data parallel processing framework, natural language processing, user recommendation embedding systems, similarity search, search engine indexing, and click rate prediction This project aims to develop a comprehensive data collection, processing, and integration platform 'Data Middleware', collecting various data sources, focusing on users as the basic unit, forming structured data tables, and calculating user tags for precise characterization of each user Subsequently, this data is utilized for precise AI advertisement placements Eastern Data Middleware structure diagram Eastern Home Shopping introduces OneID AI Traffic Monetization Service, predicting cost-effectiveness to be up to 2 times Eastern stated that this project primarily applies 'user behavior data' and 'AI technology', with user behavior data provided by the Eastern Group and AI technology being co-developed by company and ASUS teams, covering systems such as AD Serve, precise audience estimation system, AI automatic optimization system, advertising efficacy system, and user profiling system The customer data and traffic of AI technology co-developed with ASUS remain independent and not interconnected According to estimates, this development project's total cost-effectiveness could reach 200, expected to precisely capture the user's digital trajectories, behavior, and profiles, potentially resulting in significant growth in customer lifetime value LTV, effectively integrating Eastern's online and offline services, enhancing membership service content, and substantially increasing corporate value In the future, as the Eastern Group continues to expand into international markets, it currently targets Mainland China as the primary promotion market, extending the entire service module with Eastern Global’s operational model to the global Chinese market while ensuring compliance with GDPA, merging it with Strawberry Net to provide Eastern's new retail services with the advantages of big data and AI globally Eastern Group will expand its services and technology to the global market through Strawberry Net「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

In 2017, the launch of the iPhone X made 3D sensor technology used in Face ID highly popular, which drove the development of VCSEL, a core component in the 3D sensor module In the detection of defects in incoming packaged VCSEL, the use of AI inference models can solve the industry's issue with low yield and improve reliability to 95 VCSEL technology currently can be used in many applications and various end consumer markets, including robots, mobile devices, surveillance, drones, and ARVR VCSELs are a good solution in applications that require high-speed modulation capabilities, such as cameras and biometrics VCSEL technology has a wide range ofnbsp applications, including in drones Pictured Zoyi Technology's Agricultural Drone VCSEL technology has a wide range of applications, AI technology assists in defect detection HRT Technology stated that the packaged VCSEL market is also facing strong price competition from competitors, and needs to further reduce costs and enhance product competitiveness One of the key problems is the replacement of glass lens with epoxy resin lens The production of traditional glass lenses has high yield, but the cost is higher than that of epoxy resin lenses Due to the cutting process of epoxy resin, the side wall of cutting lines can easily have rough edges, causing it to be oversized The release of stress caused by heat during the mounting process will directly cause the optical lens to break HRT Technology pointed out that the incoming inspection of VCSEL epoxy resin lenses is very important Under the constraints of packaging space, the space for fitting the package and optical lens is limited Moreover, the optical lenses will be confined to a metal frame If the dimensional tolerances are properly controlled, stress release due to heat during mounting can easily cause the optical lens to break, resulting in a yield loss of up to 10 in the VCSEL package reliability verification, resulting in an increase in production costs In order to solve the problems above, HRT Technology hopes to use AI to monitor the size and appearance defects of epoxy resin components in the VCSEL epoxy resin lens incoming stage, verifying whether their dimensions meet specifications, whether the cutting edges are smooth, and whether there are any defects in their appearance Since traditional incoming material inspection requires a rough visual inspection by humans to distinguish the quality The problem of image collection needs to be solved first to successfully collect image data Therefore, HRT Technology first developed an Automated Optical Inspection AOI device, which includes X, Y, Z three-axis motion, high-resolution cameras, and related control software to automatically record images After collecting the image data, opencv aligns the test image and a normal image to determine differences between the two images, and then pixel mapping is used to compare the pixel area to complete initial screening Manual labeling is carried out according to the image classification above, including samples that are normal, have defects in appearance, or have different shape characteristics, and then algorithm training and verification is carried out Residual neural network ResNet or other related algorithms are used for deep learning to identify the quality of lenses Implementation of AOI inspection improves production efficiency by 20 and above Comparing the differences before and after the implementation of AI image inspection, the incoming VCSEL lens inspection before implementation only involved manual inspection of the appearance The lens is packaged on the VCSEL package that has completed die bonding After passing the general light up test, the final reliability test high temperature reflow is performed Failed samples go into the rework process However, after the implementation of AOI inspection, it can screen defective lenses sooner and reduce the cost of subsequent materials input, it can also reduce the need for rework due to failure, improving yield to 95 and above in the reliability verification This is expected to help companies reduce production costs by 10 and increase production efficiency by 20 and above The difference before and after implementing AI image detection HRT Technology pointed out that this technology is an AI application developed based on tiny images It uses deep learning algorithms to identify defects in the images The trained network automatically classifies image data to predetermined categories Defect categories can be determined through reference images, so cumbersome programming is not required In the industrial machine vision environment, deep learning is mainly used for classification tasks in applications, such as inspection of industrial products or identification of parts In the future, with the development of IoT wearable devices and the trend of energy saving, the size of optoelectronic components will continue to shrink This technology can be applied to the detection of defects in the appearance of other tiny optoelectronic components in the future

An AI smart lawn mowing robot, resembling a vacuum robot, shuttles back and forth on the 30-hectare golf course lawn for weeding This robot, independently developed and designed by Taiwanese, is equipped with the world's first electronic fencing positioning technology which utilizes high-precision GPS integrated with cloud AI computation to determine the most efficient mowing paths, targeting the lucrative blue ocean market of golf courses This AI lawn mowing robot was developed by USRROBOT, a Taiwanese startup established in 2019 Chao-Cheng Chen, the president of USRROBOT, once served as the executive vice president of one of the top five ODM tech companies in Taiwan, and specializes in software and hardware integration When he served as the chairman of the Service Robot Alliance, he knew that the service robot industry was bound grow rapidly due to declining birth rates and the growingly severe labor shortage New demand - The horticulture market is large and the has rigid demand "To develop the core technology of service robots, we must find rigid demand Looking at European and American countries, there is a shortage of labor, but demand for horticulture has increased, and there has been a long-term shortage of 7-10 of horticultural workers" Under this strong "rigid demand," Chao-Cheng Chen established USRROBOT, and the company's first product is the AI lawn mowing robot In terms of overseas markets, the United States is the world's largest horticulture market, accounting for 30-40 of the global output value It is estimated that there are about 1 million horticulture workers, but they have been experiencing a labor shortage of 7-10 in recent years and have not been able to improve the situation The main reasons for labor shortage are Aging population and gardening is a labor-intensive job, so young people don't want to do it Unlike in Taiwan, European and American countries attach great importance to lawn maintenance and have expressly stipulated in the law that heavy fines will be imposed for failing to mow the lawn Therefore, the AI lawn mowing robot has considerable market development potential The introduction of AI multi-device collaborative mowing sensor technology is expected to reduce the burden of staff maintaining the golf course The AI lawn mowing robot developed by USRROBOT is currently in its second generation Domestic universities and well-known art museums are using the latest model M1, and it is also being used by some world-renowned high-tech companies and well-known universities in the United States The company is currently involved in negotiations for subsequent business cooperation USRROBOT stated that the professional RTK system currently used can reduce the original GPS positioning error from tens of meters to about 2 centimeters, allowing the robot to move accurately outdoors After setting the boundaries, it can be easily operated using the app New application - Implementation in golf courses solves the problem of labor aging and shortage Chao-Cheng Chen further explained that the National Land Surveying and Mapping Center is a RTK service provider RTK provides the error reference map of the positioning point USRROBOT can access the positioning error value of a specific position through 4G Internet access The AI algorithm of USRROBOT reduces the general 10-20 m error of GPS to 2 cm After positioning, USRROBOT then uses six-axis accelerator positioning, gyroscopes, and wheel differential sensing devices for software and hardware integration Only by matching the wheel's movement pattern and the terrain can accurate mowing path planning be achieved The AI lawn mowing robot, which is 62 cm wide, 84 cm long, 46 cm high, and weighs only 25 kg, can set the mowing boundaries in the cloud It can avoid pools and sand pits through settings, using AI algorithms to automatically calculate the optimal path It is able to mow approximately 150 ping of grass in one hour The battery can be used continuously for more than 6 hours The battery life is currently the highest in the world In addition to general gardening companies, with the assistance of the AI project team of the Industrial Development Bureau, Ministry of Economic Affairs, USRROBOT's AI lawn mowing robot has been applied to golf course lawn mowing A well-known golf course located in Taiping District, Taichung City currently has a staff of 5 people who are responsible for the lawn, planting maintenance, and other landscape maintenance of the entire 30-hectare course However, the average age of staff is as high as 55 years old, and the golf course has been unable to recruit new staff members for a long time In view of the aging staff and the shortage of manpower, the golf course hopes to mitigate the impact with AI technology, and is therefore using AI multi-device collaborative mowing sensor technology, in hopes of reducing the burden of staff maintaining the golf course New challenges - Expert systems are needed to overcome difficulties with different grass species "This AI lawn mowing robot has low noise, low pollution, low labor costs, and is waterproof and anti-theft In the lawn mowing process, it can identify and avoid obstacles through ultrasonic sensors while maintaining mowing quality, maintaining aesthetic and consistent grass length" Chao-Cheng Chen went on to say that the most important part about golf courses is that the grass pattern should be beautiful and free from diseases and pests Based on the site survey, golf courses are mainly divided into three major areas green, fairway and rough There is no problem using the current mowing robot to mow the rough area, and it can overcome slopes within 20 degreesThe short grass in the fairway area may only be two centimeters long, and the grass types are also different, so the cutterhead design needs to be modifiedAs for the grass in the green area, the grass must be mowed close to the ground and maintained in a consistent direction because it affects the putting speed Many factors will affect the green index, and this part requires more research and testing The AI lawn mowing robot can identify and avoid obstacles through ultrasonic sensors while maintaining mowing quality The AI smart lawn mowing robot has a built-in camera that can be used to detect the health condition of the lawn Chao-Cheng Chen said that in the future, an expert system will also be introduced for early determination of whether there are diseases, pests in the lawn or whether there is sufficient moisture, and provide lawn health data analysis to customers, so that they can take preventive and response measures sooner to reduce disaster losses Chao-Cheng Chen, who is also a good golfer himself, said that golf has developed well in Taiwan However, due to weather factors, such as rainy and humid climate and typhoons, Taiwan's golf courses have harder soil and more potholes compared with top tier golf courses overseas If AI lawn mowing robots are to be widely introduced into golf courses, there are still many difficulties that must be overcome However, Taiwan's difficult terrain creates a good testing ground Once Taiwan can overcome the many problems and successfully introduce the robot, it will be able to expand to overseas markets and seize new market opportunities in a blue ocean Chao-Cheng Chen, President of USRROBOT nbsp