ADAS Buddy is a new intelligent driving assistant system designed to enhance driving safety and reduce the occurrence of traffic accidents. eNeural team leverages sensor information and combines their own innovative technology to provide real-time detection and warnings of potential hazards, such as when the driver exhibits signs of fatigue, the system can use sound to alert the driver to take a break before continuing to drive. In addition, ADAS Buddy also comes with voice interaction mode, allowing drivers to focus on the driving situation, reducing the risk of accidents caused by distraction. These intelligent technologies' integration will provide drivers with a safer and more comfortable driving experience.

This project uses the 阡陌(QianMo) System, which drawing the road profiles, markings, signs, and signals based on the road geography data as a universal base map, to integrate cross-domain digital applications. Besides, 阡陌(QianMo) System has developed an application on mobile phone, through this application, user can complete the case opening, drawing, conversation recording, and photo-taking operations on-site, and convert the accident cases into collision elements in accordance with time, vehicle type, direction, collision type, and number of casualties. On the other hands, when handling improvements for accident-prone intersections, 阡陌(QianMo) System can overlay the elements to implement the collision composition analysis serves as a scientific proof and visualization tool for researching traffic improvement measures and explaining accident risk hotspots. Besides, after the subsequent engineering improvements, user can provide revision of road geography data as the feedback. Through this mechanism, which can achieve a digital governance cycle. Finally, through 阡陌(QianMo) System , this project integrates cross-domain applications related to police administration, transportation bureau, and engineering industry to improve driving environments and prevent traffic accidents.

In response to the implementation of Taiwan's carbon fee and the ESG-driven carbon reduction requirements of enterprises, we offer customized carbon management services. ESL establishes "Carbon Accounts" based on client-specific requirements, utilizing automated systems to collect and analyze carbon emission data via an integrated platform. This service provides optimization opportunities, balances the economic advantages of carbon management, and maximizes the value of corporate sustainability and green transformation initiatives.

AI智慧辦公室文件助手: 使用最先進的AI文件識別技術, 建立自動化文件處理系統, AI小幫手可替需求人員搜尋或自動生成所需要的文件。

WeatherRisk provides tailored energy forecasting solutions for the energy industry, including: 1. High-resolution, bankable historical data (metocean, solar irradiation) 2. Weather forecasting systems for O&M (offshore wind farms, solar assets) 3. Solar power forecasting (solar assets and grids) 4. Wind power forecasting (wind farms and grids) 5. Load forecasting Energy forecasting has a wide range of applications in the energy industry: • For FTM (front-of-the-meter) power dispatch, ancillary services, asset evaluation, and PV-Storage. • For BTM (behind-the-meter) virtual power plants, microgrids, renewable energy trading, as well as strategic support for energy market operations.

Yunlin County Government is dedicated to establishing a human-centric smart agriculture, providing services for digital and green transformation to overcome industry challenges and climate change. People collaborate with machines, automation equipment, and computers to enhance industrial productivity by using information technology. Simultaneously, it promotes Intelligence Augmentation (IA), fostering the growth of industry personnel capabilities. To accelerate agricultural transformation, solutions are developed with experts in various fields of agriculture and livestock. Through sharing successful case studies, the aim is to guide industry stakeholders to embrace new knowledge and technologies. Additionally, counseling teams assist farmer groups in transitioning towards a smart agriculture concept that combines 'smart technology' and the 'net-zero emission' approach. The development focuses on creating a future agriculture model primarily based on automation and AI, striving for efficiency, quality, and Intelligent Automation (IA).The project won the 2024 Smart City Innovation Application Awards.

The Taichung Pass APP comprehensively integrates municipal services, including payment and billing, vaccine appointments, a complaint integration platform, event calendars, and various welfare information, allowing citizens to conveniently access online services through a single mobile device. Citizens who use the Taichung Pass to present their digital citizen virtual card can also enjoy exclusive discounts. To expand the range of benefits, businesses in neighboring counties and cities are actively being recruited to join the program. As of now, more than 1,000 stores offer discounts, including many chain brands, specialty food vendors, and top ten souvenir stores.

Handling abnormal complaints requires extensive experience and expertise. However, the resignation or retirement of senior employees often leads to knowledge loss, impacting organizational efficiency and competitiveness. Through vector models, Morale AI transforms unstructured data (such as emails, PDFs, and Word documents) into structured data and integrates it into databases, enhancing data usability. Multi-modal models combine diverse data types, including text and images, to systematically record and preserve experience. By leveraging Retrieval-Augmented Generation (RAG) technology and similarity search, the model can accurately categorize issues, identify the root causes, and recommend relevant cases, significantly reducing manual processing time and error rates. This systematic approach not only enhances response efficiency and enables real-time analysis and resolution of customer issues but also reduces repetitive work for employees, improving overall productivity and customer satisfaction.

The Smart Dust Sensor technology is an innovative solution for integrating IoT networks into air quality monitoring. Developed collaboratively by the National Science and The National Science and Technology Council (NSTC), in collaboration with Taiwan Instrument Research Institute (TIRI) and Taiwan Semiconductor Research Institute (TSRI) of NARLabs, and leading academic teams in Taiwan, this technology has successfully miniaturized gas sensors while achieving low power consumption and high sensitivity. Its core features include exceptional sensitivity and stability, enabling real-time monitoring of multiple gases. Moreover, the fully domestically developed technology reduces dependence on imports and offers cost-effective sensor modules, driving the widespread adoption of air quality monitoring devices. The Smart Dust Sensor has undergone extensive field testing and third-party certifications across various applications. These include environmental monitoring stations (e.g., Taichung Dali Station), public recreational areas (e.g., odor monitoring in public restrooms), and industrial settings (e.g., semiconductor facilities and wastewater treatment plants). With its proven accuracy, reliability, and traceable data, the technology plays a key role in advancing air quality monitoring solutions, facilitating the development of smart cities, and contributing to improved environmental management.

High uric acid has become the fourth highest after the three highs, and it has begun to trend younger. If uric acid rises, the body will suffer. RedEye's urine uric acid detection technology has been published in international academic journals and cited in many documents. This allows us to get the test results at home, without needles, in just 3 seconds. Pay attention to uric acid every day to keep us away from the risk of gout.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.