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【2020 Solutions】 Summit Fujitsu's Smart Zenbo Robot - A Great Companion for Child Safety

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

▲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 dispensing/reminders', '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

▲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

▲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

▲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

▲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」

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【解決方案】2秒鐘完成結帳動作 Viscovery AI影像辨識助攻智慧零售
Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery

【解決方案】客廳化身為健身房 Uniigym矢志成為健身界的Netflix
Living Room as a Gym: Uniigym Aims to be the Netflix of Fitness

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instructors, pick and practice anytime without appointment Two AI real-time motion matching that captures 20 skeletal points of the body through the phone's camera, accurately comparing movements and providing instant feedback Three AR fitness trainer, accompanying you in any environment, personally guiding the workouts, making the fitness experience more engaging Four Gesture remote control interface, allowing you to remotely access various features, making operations easier Five Supports screen casting, syncing the phone with TVs and screens to enhance immersive exercise experiences Six Self-data tracking, fully recording fitness progress including exercise hours, calories burned, and training programs AR动滋动 x Uniigym Rise to Exercise, Safeguard Health TAIWAN SAFE Event Introduction Most importantly, the system platform integrates the latest AI posture algorithm, comparing user movements and skeletal points with those of the fitness trainer during exercise, combined with heart-rate belts to display changes in heart rate on the screen during exercise By employing technology in exercise, it not only protects users during training but also helps in logging physical energy consumption, effectively enhancing exercise efficiency and preventing exercise injuries Uniigym is deeply rooted in Taiwan and expanding to international markets In fact, Uniigym's products are iteratively evolved according to different user groups The second generation product, Uniihome, turns living rooms into gyms in collaboration with the television system platforms, Taiwan Broadband Communications and Kbro, featuring set-top boxes with a menu of 1,700 classes, each lasting 3-5 minutes suitable for all family members ranging from grandparents to children, providing a freely selectable fitness menu for different groups AR Fitness x Uniigym App Product Experience Scenario Illustration In the post-pandemic era, exercising at home has become a trend Uniigym's interactive sensor-based fitness courses offer consumers a convenient, economical way to exercise anytime, anywhere It eliminates the need for purchasing fitness equipment or spending on expensive courses, as users can enjoy personal guidance from an AI coach directly through their smartphones, enhancing their willingness and frequency of exercise, playing an essential role in promoting a healthier lifestyle for all Uniigym provides a combination of online and offline AI cloud-based interactive sensor technology services, matched with home settings and various types of exercise spaces, to offer consumers an entry-level threshold to enjoy professional and entertaining fitness experiences anytime, anywhere This innovative business model has attracted investments from renowned Taiwanese listed companies such as, Nan Yih Textile and Taishin International Bank, and also partnerships with notable international sports enterprises like Decathlon Besides deep-rooting in the Taiwanese market, Uniigym is also actively expanding into international markets including Singapore, Thailand, and China This year 2022, Uniigym plans to launch its products with the Singaporean telecom group Singtel, allowing Chinese-speaking users and a broad international audience to enjoy new interactive sensor-based fitness courses In the future, Uniigym will also introduce home-based health management solutions for corporate and government employees, where employee health data is collected during exercise through cameras or heart rate devices, analyzed, integrated, and linked with health and medical data to achieve preventive medical goals Uniigym founder and CEO, Yu-Chieh Lin「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
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