Technology also carries the aroma of coffee Situated on Gaogong Road in the Southern District of Taichung, the original Black Wo Coffee store covers a space of 28 ping, filled with the scent of coffee mixed with cultural creativity and technology Since its establishment in October 2016, Black Wo Coffee has expanded to 7 directly managed stores and 28 franchise stores across Taiwan Among the 15,000 coffee sellers nationwide, Black Wo Coffee has risen uniquely through the use of AI technology to create an unmanned intelligent vending machine that brews exquisite and aromatic coffee in just one minute Black Wo Coffee's physical store creates a culturally creative and fashionable atmosphere Image Black Wo Coffee official website According to the International Coffee Organization ICO, Taiwanese people consume 285 billion cups of coffee annually, with the market size exceeding 70 billion NT dollars Ambitiously, as per Starbucks' survey, by 2018 the overall Taiwanese coffee market reached 72 billion NT dollars and rose to 90 billion by 2020 Over the last five years, the Taiwanese coffee market has expanded annually by about 20, showing remarkable growth potential Coffee demand presents incredible business opportunities, growing at a rate of 20 annually With coffee now being a symbol of fashionable consumption in Taiwan, aside from first-tier coffee shops like Starbucks and Louisa, there are convenience stores like 7-11 and FamilyMart, and numerous boutique coffee houses scattered through the streets and alleys How to capture consumer attention and stand out in the 'red ocean' of the coffee market requires flexibility and creativity, understanding consumer needs and tastes, which are also essential for cultivating brand loyalty Beyond physical storefronts, Black Wo Coffee is also actively developing digital channels Its ecommerce platform includes the official website, PChome, momo, and group-buying hosts, providing multiple channels and ensuring steady growth in performance Even so, the founder of Black Wo Coffee, Lin Pei-ni, continually seeks innovation Due to the passive and scattered situation with franchise stores in the first three years, it was difficult to actively grasp market trends and the company noticed a certain lag in communicating with consumers and keeping up with brand dynamics, making it challenging to cultivate loyal brand advocates Artisan boutique coffee is deeply beloved by consumers Image Black Wo Coffee official website Through the AI Eagle Eye System, market intelligence costs are significantly reduced To address the dual challenges of not being able to quickly capture market trends and high market research costs, Black Wo Coffee introduced the AI Eagle Eye System in 2020 to scout market intelligence By comprehensively crawling articles from social websites, news platforms, and forums, automatically tagging, and suitably filtering, this system scanned 4,858 articles using 24,290 keywords, enabling precise insights into consumer preferences at minimal costs At the same time, after launching new products, not only can franchise stores be notified promptly, but the acceptance level of consumers can also be assessed through social platforms It serves as a reference for whether to promote aggressively Through the collection of data and analysis by AI algorithms, consumer-preferred flavors are selected, reducing the risks associated with new launches and increasing the success rate of new products Therefore, in 2021, Black Wo Coffee boldly explored new markets by introducing the world's first AIoT smart coffee innovative concept in collaboration with Pxmart for the first 'Intelligent Supermarket', integrating Black Wo Coffee to create an unmanned intelligent hand-drip coffee machine for consumers to enjoy a unique flavor experience Insight into consumer tastes leads to the creation of AIoT Unmanned Intelligent Vending Machines Taiwan's first Pxmart 'Intelligent Supermarket' in Neihu, Taipei introduces the world's first AIoT smart coffee concept store, able to interact with the AI smart coffee vending machine, AI hand-washing coffee machine, and AI vacuum cold brew machine through a mobile app, meeting three different coffee technology experiences in one place The self-service area features the only unmanned intelligent coffee vending machine in Taiwan that uses chilled milk to make milk foam, selecting Black Wo's 5A grade milk, and completing the payment, grinding, and brewing all within one minute The first Pxmart 'Intelligent Supermarket' was established on Ruiguang Road in Neihu District, Taipei Image Pxmart FB fan page The Pxmart Intelligent Supermarket features an AI smart coffee vending machine, which is operated using an app to enjoy aromatic coffee Image Pxmart FB fan page Now, with the addition of AI technology elements, drinking coffee is not just about having coffee it also brings more brand-new tech experiences and conveniences to consumers「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

Have you had your morning coffee yet Over the past decade, Taiwan has gradually formed a coffee drinking culture With the advancement of AI technology, autonomous coffee roasters can now rely on AI for precise location setting while also cultivating a loyal customer base Let's see how this is done According to the International Coffee Organization ICO, Taiwanese consume approximately 285 billion cups of coffee annually, with the coffee market in Taiwan estimated at 80 billion TWD, growing about 20 each year In recent years, the 'drinking coffee' culture in Taiwan has become synonymous with popularity, with coffee being the most frequently chosen daily beverage by 65 of the population Coffee enthusiasts, particularly the more avid ones, are willing to pay more for coffee beans that suit their tastes An increasing number of unmanned drink kiosks have also begun to appear in the Taiwanese beverage market Unmanned coffee beverage shops face difficulties in expanding quickly, primarily due to two major issues one is the appropriateness of customer flow and machine placement locations which still rely on manual analysis the second is penetrating the market of mid to high-end coffee lovers accurately AI resolves two major challenges for autonomous coffee roasters suitable placement and cultivating a loyal customer base To tackle these issues and help autonomous coffee roasters quickly break into the market, Raysharp Electronics intends to implement AI for people flow counting analysis and unfamiliar face recognition These technologies aim to calculate the crowd size at potential roaster locations and classify consumers by gender and age for more precise market analysis They also provide multiple choices for the roasting of raw coffee beans, offering a more customized service tailored to the needs and tastes of professional coffee aficionados with a pack of 'high-quality roasted beans' Since 2018, the rise of unmanned stores has been mainly due to owners wanting to reduce persistently rising rent and personnel costs However, the initial assessment of store locations still requires hourly labor expenses for manual estimation of customer flow, leading to possible miscalculations of both on-site consumers and passerby traffic These inaccuracies may prevent precise real-time analysis of customer flow, or even misguided estimations of operational efficacy after a trial run, thus missing the optimal timing for loss-preventing location retraction Raysharp Electronics introduces autonomous coffee roasters equipped with AI-based people counting analysis and facial recognition Raysharp Electronics combines AI people counting analysis and facial recognition with the coffee trend known as 'black gold', addressing the preferences of numerous coffee connoisseurs in Taiwan who enjoy personally selecting coffee beans at bulk stores and frequenting high-quality grinding cafes or chain coffee shops A new concept for the first autonomous coffee roaster offering choices based on the origin, variety, and roasting methods of coffee beans has emerged AI coffee roasters enhance customer loyalty and materials management efficiency by 20 For the advanced development of autonomous coffee roasters, Raysharp Electronics engineers have equipped the AI NVIDIA development platform on the basis of TCNNFacenet Through AI, tens of thousands of images related to gender and age are used for sample training, allowing even first-time coffee roasting customers to be easily classified using unfamiliar face recognition This gains consumer trust, enhances willingness to use, and allows for recording purchase information and future product recommendations, leading to consumer purchase behavior analysis This information helps owners tailor future material preparation based on consumer preferences for different coffee beans, reducing raw material transportation and storage issues, and improving material management efficiency by 20 Moreover, by placing these autonomous coffee roasters in high-traffic areas, owners can use cameras to capture the crowd and assess whether the machine location has an adequate customer base, quickly analyzing whether to reposition the machines, and more easily targeting the best locations for middle and high-end coffee lovers The unmanned coffee roaster features a professional roasting mode interface, providing options based on the origin and variety of coffee beans, their roasting methods light, medium, deep, and related temperature, wind speed, and timing settings If improvement needs arise during the process, engineers can adjust firmware parameters and also assist in integration with the owner's ordering system Staff members briefly describe the operation of the autonomous coffee roaster 'Black Gold' penetrates deeper into coffee shops, science parks, and commercial buildings through AI This autonomous coffee roaster targets coffee connoisseurs and can be placed in middle to high-end coffee shops to roast more customized coffee beans than those available in bulk stores Upon completing a batch of coffee beans, it immediately provides them to professional technicians within the coffee shops for grinding and manual brewing The remaining roasted beans can also be taken home for brewing and enjoyment It also adds value to coffee shops by better understanding consumer preferences for coffee beans and launching more customer-attracting drink promotions and appropriate inventory management In addition to coffee shops, the autonomous coffee roaster can also utilize AI-based people counting analysis to precisely set up near scientific parks and commercial buildings, offering high-quality coffee beans for office brewing to internal employees with high coffee consumption needs Furthermore, implementing a physical membership system can initiate coffee bean purchase promotions or periodic payment incentives, thus attracting new clients and cultivating existing customer loyalty and retention The operation interface of the smart autonomous coffee roaster「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」