The use of drones for intelligent inspection is becoming increasingly common, with major petrochemical and solar power plants continuing to adopt drone applications Located in Hsinchu, Extreme Present Technology earthbook has established a 4D cloud platform using its proprietary technology, offering drone, software, and data analysis platform services for intelligent inspections at solar power and petrochemical plants, reducing the total cost to just one-fifth of traditional methods involving hardware and software purchases, and cutting down the time from one month to approximately 24 hours, making it highly cost-effective For petrochemical industry operators who are constantly in a high-temperature, high-pressure dangerous environment, the safety control and inspection of plant facilities are critical 'As long as we can enhance the capabilities of facility inspection and risk identification in petrochemical sites, resource input is absolutely not an issue,' said a petrochemical industry representative with emphasis By implementing the drone 4D AI inspection cloud platform, the efficiency and safety of facility inspections among petrochemical operators can be elevated, further reducing the risk of equipment downtime Founded in March 2018, Extreme Present Tech has become a consistent winner in domestic entrepreneurship competitions, including being crowned champion in the 2019 OPEN DATA Business Innovation Practice, selected into Microsoft's startup accelerator in 2020, chosen for NVIDIA's AI startup team in 2021, and its products have been launched on the Microsoft Azure platform, earning investments from the National Development Fund and major domestic groups, thereby securing strong market validation for its technical prowess and services The founder and CEO of Extreme Present Tech, Hsu Wei-Cheng, mentioned that at the beginning of its establishment, the company took on the national space center's satellite 3D photography scheduling system and specialized in the integration of geographic information into 3D images As drone hardware technologies matured, the company shifted its operations towards the drone market and combined it with AI image recognition systems to establish a 4D cloud DaaS platform, offering services including online aerial photography ordering DaaS, 5GAIoT cloud platform SaaS, and enterpriseAPI server software, to meet the demands of drones in smart cities, facility inspection, engineering management, disaster response, pollution monitoring, and other applications, maximizing the value of drone services Smart aerial inspection regularly tracks the health status of plant equipment at a glance The quantity and area of petrochemical plants in Taiwan are immense, lacking sufficient manpower for comprehensive equipment inspections Given that petrochemical plants produce high-temperature flammable and corrosive chemicals that must be transmitted and stored through pipelines and tanks, long-term risks like pipeline ruptures and tank blockages could lead to severe occupational safety disasters, equipment downtime, and production stagnation Given the shortfalls in personnel for equipment inspections among petrochemical operators, Extreme Tech has already implemented a 4D AI drone inspection cloud platform combined with AI image recognition technology in petrochemical plant areas, providing ground-breaking evidence through the use of drones and proprietary app software services that connect on-site aerial data collection to the cloud platform, achieving fully automated and real-time aerial monitoring of petrochemical plant equipment pipelines, tanks, and ensuring precise locations and angles for each aerial operation, effectively compensating for the discrepancy in human inspection Hsu Wei-Cheng pointed out that the inspection drones used in petrochemical plants are equipped with dual lenses, one visible light and the other thermal infrared, which allow for determining pipeline obstructions through temperature conditions, enabling clients to immediately view the inspection status of the plant area from remote locations via the earthbook website, enhancing clients' inspection efficiency and accuracy The 4D aerial data platform meets diverse applications such as smart cities, transportation, engineering management, and pollution monitoring DaaS Online Order-Use Model Innovates Aerial Photography Business Model Saving 15 Costs Apart from providing a 4D aerial data platform, Extreme Present Tech also offers DaaS Drone as a Service After customers place orders on the website, Extreme Present coordinates with professionally licensed aerial photographers to provide on-site services Customers can monitor real-time operations through the platform and quickly obtain aerial data to evaluate any abnormalities, enabling timely alerts Take the solar power plant monitoring service as an example Given that solar power plant areas are large and widely distributed, located in the remote Pingtung area with the headquarters in Taipei, for inspections of the Pingtung plant, the customer just needs to use the DaaS service model, directly order online and upload a map of the Pingtung plant, obtain a quote from the company, and then entrust local Pingtung pilots to perform aerial inspections of the solar power plant During the process, the drone's route is automatically calculated by AI to plan the flight path, and the aerial data is transmitted to the client's cloud account, allowing the Taipei headquarters clients to immediately see the inspection status of the solar power plant from the earthbook website such as the condition of the solar panels, dust detection, or abnormal heat generation from solar electromagnetism, effectively helping the customer significantly reduce operational costs and efficiently complete the solar power plant inspection service Introduction of DaaS online aerial photography service in petrochemical plants According to estimates, solar power plant clients often incur high personnel costs by purchasing drones or outsourcing aerial photography With the long-term provision of aerial photography devices and the DaaS business model by Extreme Present Tech, customers can save 45 of aerial photography costs, and obtain aerial inspection reports within 24 hours post-operation, helping clients efficiently identify issues with solar panels Aiming to become the largest aerial data service company and enter the Southeast Asian market Since its establishment in 2018, Extreme Present Tech has rapidly grown in the aerial photography market with innovative thinking, actively expanding its aerial data application services Currently focused on cultivating the Taiwan market, the company aims to enter Southeast Asian nations, with Indonesia chosen as the first stop due to its high demand for infrastructure Hsu Wei-Cheng hopes that earthbook becomes the world's largest aerial data service platform Besides completing the initial round of funding from the National Development Fund and major groups, to penetrate the international market, the company continuously improves its drone data services and AI technology innovations, while also requiring the assistance of entities like the Industrial Technology Research Institute to find strategic investors that complement the company, fulfilling its goal of becoming an international aerial data corporation in phases Founder and CEO of Extreme Present Tech, Hsu Wei-Cheng「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

During the opening ceremony of the 2022 Smart City Summit amp Expo co-organized by the National Development Council, Ministry of Foreign Affairs, Taipei City Government, Taoyuan City Government, Kaohsiung City Government, and Taipei Computer Association on March 22, 2022, founder and president of Touch Cloud Cheng-Hsun Li went on stage to receive the "2022 Smart City Innovation Application Award_Smart Security Award" This award is hard-won because after five years of hard work, Touch Cloud brought its core technology of AI image analysis back to Taiwan after gaining popularity in overseas markets, becoming an important smart city solutions provider "Since the company was established, we have positioned ourselves to make AI products that are stable, easy to use, and truly needed by the market" The company's positioning is very clear, this step took Touch Cloud five years It was not until the beginning of 2020 that Touch Cloud launched its first intrusion detection product In less than two years, Touch Cloud has now launched seven products, with each product receiving excellent reviews from the market Specializing in the field of smart cities, Touch Cloud successfully entered the Asian market Founded in February 2016, Touch Cloud originally focused on AOI defect detection However, the definition of defects is different for every customer As a result, applications in this field are mostly project development and could not be commercialized The company later directed its efforts to AI Application Box, a product that integrates software and hardware, and focused on smart cities, including transportation, industrial safety, and security related markets In view of the high acceptance and price advantage of AI in overseas markets, Cheng-Hsun Li targeted the overseas market in the early stages of the company's development, and has produced many successful results in several major countries, including Hong Kong, Singapore, and Thailand Among them, Touch Cloud successfully entered the Hong Kong market with its debut in the Hong Kong International Airport project In 2018, Hong Kong International Airport planned to monitor ships around airline oil storage platforms to prevent ships from colliding with the oil storage platform However, the oil storage platform is located in the middle of the sea and lacks electricity and Internet connection, so it could only set up a camera on shore 3 km away from the platform In addition to the long distance and poor line of sight, monitoring was also affected by weather conditions, such as clouds and fog, and was ineffective Touch Cloud customized an AI algorithm specifically for the project, and continuously collected image data for model training It took half a year of discussions with the customer and system corrections to finally achieve an accuracy rate of 98, successfully completing the goal Touch Cloud won the 2022 Smart City Innovation Application Award_Smart Security Award Minister of Economic Affairs Mei-Hua Wang on the left, Touch Cloud founder and president Cheng-Hsun Li on the right Touch Cloud products have three advantages that provide customers with a better AI user experience 1 Plug and play 2 Provides flexible services, in addition to standard products, customized services meet customers' needs for quick launch and reliable problem solving 3 High adaptability and ability to achieve extremely high recognition accuracy in different environments Cheng-Hsun Li believes that the design of AI products should be as simple as using a "home appliance" and have a clear purpose Therefore, Touch Cloud built an AI Application Box to design products from the perspective of scene applications, focusing on image analysis related to "people" and "vehicles" At present, a total of seven products have been developed, including KekkAI personnel intrusion detection, card swiping and tailgating detection, KekkAI-H construction site safety detection, Abaci-P people flow and head count, Abaci-V traffic flow and vehicle count, Greygoose personnel intrusion detection and people flow, GotchA cross-camera person tracking search, and AISense license plate recognition Cross-camera tracking product GotchA won the Smart City Innovation Application Award GotchA is the product that won the Smart City Innovation Application Award This cross-camera tracking product is unique in the market Its system uses AI technology to search and track people by analyzing their features at the time Users can use image search to search for the path of a specific person in multiple cameras they can also use multiple appearance features to find suitable target groups Using GotchA, you can actively search for lost people, understand the shopping behavior of VIP customers in the mall, and even manage the footprints of visitors in the building For example, it is not uncommon for children to get lost in hypermarkets GotchA can access footage from the entrance camera for an image search, and compare the walking path of the child to quickly find the missing child Using GotchA in shopping malls and amusement parks, where people come and go, to find lost people It not only significantly reduces the time spent by 90, but also transforms the traditional approach of the service counter making an announcement to the lost person into an active search based on image analysis, thereby improving service levels and accuracy Touch Cloud's excellent AI image analysis technology is favored by large enterprises Cheng-Hsun Li said that his experience abroad has taught him to help customers find AI usage scenarios For example, a T-Bar large advertising billboard operator in Thailand wants to attract business, and advertisers want to understand the flow of people to evaluate advertising effectiveness The T-Bar company has more than 1,000 cameras and can determine the type of vehicle from the images and then calculate the number of people, which can be converted to advertising effectiveness After Touch Cloud used the data for training, it can even identify special vehicle types in various countries For example, the nbsp"pickup truck" is a special vehicle type in Thailand Model training is carried out through Open Data, scenario data, and Touch Cloud's self-built database, and can accurately identify traffic flow and vehicle type, which is used to estimate the number of people reached by the advertisement Rapid business development after returning to the Taiwan market from overseas Touch Cloud currently accounts for 70 of the overseas market, with customers in Thailand, Hong Kong, Singapore, Malaysia, Japan, South Korea, and the Philippines In the future, it will also develop into other Asian markets, such as Vietnam In addition to the Asian market, Touch Cloud has not forgotten to serve Taiwanese customers, and began to actively recruit partners to jointly develop the Taiwan market in June 2021 So far, the number of customers has quickly accumulated to more than a hundred Touch Cloud's excellent AI image analysis technology is favored by many companies, and most investors are strategic partners, working together to create synergies and allow Touch Cloud's technology to be quickly applied Cheng-Hsun Li said that it often takes more than five years for an AI startup to get its operations on track, and it takes at least three years to cultivate good AI talents Results are gradually emerging thanks to the considerable flexibility and space given by strategic investors to the company Touch Cloud products are already being put into practical use in major Asian countries such as Hong Kong, Singapore, Thailand, South Korea, and Japan, and are expected to enter more Asian countries within two years, driving more advanced image analysis applications The company hopes to complete representative cases in Asian markets every year, and move towards an IPO as a company featuring AI products

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