LILIN has actively devoted to the AI video analytics market in recent years. In addition, LILIN’s independent research and development capabilities focusing more on AI solutions using deep learning technology, strengthening network security management capabilities, and creating high-level AI smart application solutions. https://www.meritlilin.com/AIsolution/index_EN.html

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.

The need of video surveillance has increased with the issues of campus, public places security and intelligent transportation. What’s more, high-resolution image, identification, analysis and AIoT applications are getting popular than before. People are strict in the performance of transmission and computing. Internet communication technology has entered a new era as well. To achieve intelligent service, zMEC ’s platform as service through Kubernetes-based architecture which can not only integrate with the third-party but also expand different AIoT software application modules, such as identification and analysis, electronic fence. Besides, the technology of edge computing can reduce the demand of video and audio data for cloud center computing access and network bandwidth resources, so as to make up for the problem of traditional cloud computing delay and unsafe transmission link. It meets the need of high frequency bandwidth and low latency, and to satisfy the needs of information security and privacy protection.

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.

Cardiovascular disease is a major global cause of death. Blood pressure monitoring is crucial, but current methods have limitations. We propose a non-invasive, accurate, and continuous method for predicting arterial pressure waveforms using composite algorithm. This enhances accuracy and real-time prediction, allowing medical professionals to monitor patients and provide timely treatment. The non-invasive approach improves patient comfort and avoids risks. Our deep learning model reduces costs, human error, and complies with industry standards. Our invention will revolutionize cardiovascular disease management by using TCN-GRU algorithms, leading to precise and timely intervention. This invention could become a standard tool for cardiovascular function monitoring, greatly impacting healthcare.

ISO 14068-1 aims to provide a standardized method for achieving and declaring carbon neutrality based on existing international standards involving greenhouse gas quantification, reporting, verification, and verification, such as ISO 14064-1, ISO 14064-3, and ISO 14067. Applies to organizations and products (such as goods and services, including events and buildings). The birth of this standard also means that it will replace the current implementation specification PAS 2060 in the future. ISO14068-1:2023 Carbon Neutrality is established in a more rigorous manner, in which GHG emission reductions (direct and indirect) and GHG removal increments in the value chain are prioritized over offsets. Includes requirements for carbon neutrality commitments and carbon neutrality declarations. Through a systematic, highly transparent, and verifiable approach, we standardize the way companies promote the carbon neutrality hierarchy, ensuring that the organization's carbon neutrality process is implemented in a scientifically based carbon reduction approach and moving towards the goal of net-zero transformation.

The EUP Fleet Management System integrates ESG management, providing visualized reports and big data analysis to accelerate communication between the supply chain and transporters, ensuring effective ESG management and achieving carbon reduction goals. Through AI big data analysis, it automatically provides green ratings and compares carbon emissions with industry peers, enhancing market competitiveness and brand image. Additionally, cloud-based, digital, and automated management enables enterprises to easily monitor fleet emissions and develop carbon reduction strategies.

In this generation, the fire protection system has improved a lot. Mobile devices could locate the vehicle which is on duty, and it is also possible to provide positioning assistance for mobile phone reports. At the same time, combined with VR technology, it will activate disaster prevention education and help enhance disaster prevention awareness. The public can also grasp the real-time disaster situation through the App. The police system with the intelligent and digitalized features has launched the "Work Smart Platform" and the "Safeguarding" "Work Smart Platform" for solving the inconvenience of police officers on duty and improve the overall efficiency of their work. At the same time, it provides services for people with dementia over the age of 50 to launch the fingerprint "printing and printing E-based mobile workstation" service to create an environment where dementia elderly are safe and family members can feel at ease.

1. ToF: A de-identified, contactless solution that relieves caregivers’ stress and reduces medical risk. It enables caregivers to focus on high-value tasks, have peace of mind when away from care recipients and be able to be prompted when help is needed. 2. Brain health: Use NIRS near-infrared light to detect the blood status of the brain's prefrontal cortex and collect neurofeedback to learn about brain activity. A. 34 cognitive training games, with the difficulty level of the game adjusted according to the user's condition. B. The world's first use of neurofeedback technology: through changes in the background color of the screen during the game, the activation level of the left forehead can be known in real-time. C. The world’s smallest sensor: weighing only 30g, easy to wear. D. Designed by Dr. Ryuta Kawashima, an authority on brain science at Tohoku University in Japan. E. Backend management reports: Provide data analysis so that caregivers can adjust training methods according to individual cases.

There're 2 applications in Smart Governance area： 1. “Integrated Watershed Management System” Due to global climate change and extreme rainfall, the government actively develops a smart integrated decision-making system for watershed management. So, the first facility is this one, “Integrated Watershed Management System.” It not only strengthens the early warning capability of the whole watershed, but also establishes a smart decision-making system for multi-dimensional water situation management which could improve disaster prevention and response capabilities. 2. “Asia Silicon Valley Intelligent Operation Center” It demonstrates the GIS map around Taoyuan High Speed Rail (Qingpu area). The 3D map modeling could also present the traffic flow and crowd information in the area. By using visual dashboards of an 3D modeling GIS map, cellular-based vehicle probe (CVP) data, parking lot data, CCTV data and traffic incident could be easily read by users. Through this center, the manager could easily make the right decision. Through the video over there, we could know more information about how to operate “Asia Silicon Valley Intelligent Operation Center.”

This project establishes a 5G private network in rural Tainan schools, introducing AR/VR gamified English teaching. Students engage in scenario-based games, simulating English conversations in virtual reality, fostering entertaining and interactive learning. The curriculum incorporates famous global landmarks and utilizes AR technology for checkpoint missions, enhancing student interest. Beyond English education, the initiative collaborates with the National Palace Museum, integrating AR/VR historical artifacts. Using 5G streaming, historical content is seamlessly integrated into campus teaching. The project not only enhances learning outcomes in rural junior high schools, reducing the urban-rural digital gap, but also has the potential for nationwide expansion. Through cross-disciplinary collaboration, it drives the development of both horizontal and vertical industry chains.

Although there are related patents using body fluids to detect metabolites for predicting the disease occurrence, those disclosed metabolites are different from this technology, and this patent focuses on breast cancer-related metabolites to predict the recurrence and prognosis of breast cancer patients. The concentration of metabolites can be further compared with a threshold value and arranged to achieve the best metabolite panel with the best sensitivity, specificity and AUC (Area Under ROC Curve) under Receiver Operator Characteristic curve (ROC curve).