Laplace Intelligent Technology's "Akashic Smart Multimodal Report System" is specifically designed for enterprise digital transformation, utilizing cutting-edge AI technology to transform complex data into precise, professional business reports. The system automatically analyzes enterprise information, rapidly generates structured reports, significantly reduces manual writing time, while enhancing report quality and decision-making efficiency. Our solution integrates intelligent knowledge bases with automation technology, helping enterprises optimize operational processes and achieve data-driven precision decision-making in highly competitive markets.

We provide a solution for integrating Internet of Things and platform systems for electric vehicle rental operators and charging station operators. This solution allows flexible configuration of management platforms and user apps, and supports third-party payment system API integrations, to create a comprehensive shared vehicle rental and charging service.

ESGP (Enterprise Sustainability Governance Platform): This platform aids businesses in conducting automated carbon footprinting, utilizes AI technology to generate sustainability reports, effectively manage ESG information, and produce various reports tailored for different stakeholders.

ITTS Smart Logistics Solution-AI Video Control Center, from the perspective of practitioners, uses a smart management system to help the logistics company master the three major information of people, vehicles and parcel. The main features are: APP-based mobile control, Smart phones can provide anytime & anywhere control capability  Dynamics Video + image real-time monitoring, real-time conditions of vehicles moving and stopping are clearly visible  Visualization of data reports, clear operational information such as fuel consumption rate and delivery rate at a glance  AI intelligent interpretation, real-time reminder for driving violation judgment, reduce the violation rate, and provide a safe driving environment The accumulation of AI machine learning can be extended to several aspects in the future:  For drivers-through driving behavior interpretation, the driver's condition can be found immediately to prevent dangerous driving; automatic routing suggestions to help novice drivers quickly get started and reach the level of mature delivery  The city management can share real-time road conditions images or video, reflect road level and post-disaster road conditions, and street management capabilities  Provide scientific and technological law enforcement capabilities to localities-image recording of license plate recognition can assist police units in investigating cases

This exhibition is an atmospheric physical-chemical grid model for prediction of changes in air quality, utilizing data from the U.S. NCEP global weather forecast and regional air pollutant emissions. Local scientific investigation data has been used to adjust and calibrate the model and thereby largely improve the accuracy of the air quality forecast over Taiwan. The 3D display system enables us to understand the transmission processes of cross-border and local air pollution. The system is capable of simulating the changes in air quality over the next three days (72 hours) in Taiwan, with a temporal resolution of 1 hour and a spatial resolution of 3 km. The simulated data can be integrated with air quality data from the Civil IoT Taiwan, providing air quality forecasts every three hours (totaling 72 hours) for six metropolitan areas This system offers regulatory authorities up-to-date information on air quality trends in Taiwan, as well as critical data for formulating control strategies.

For road safety, traffic efficiency, and energy savings, we adopt V2X and 5G C-V2X advanced technology to develop smart transportation including iDVR fleet management, driving assistant, AI sensors, RSU, OBU, etc., optimizing the driving and traffic operation.

The Civil IoT data service platform collected and stored environmental sensor data in four key areas: earthquake, water resources, air quality, and disaster prevention, and provides real-time data service using the OGC SensorThings API that conforms to the international data modeling standards for value-added services through a unified data modeling framework. In order to solve the problem of insufficient communication in remote areas, Band20 frequency band is utilized to build a backbone network core service for IoT application, which provides remote areas with the use of Band20 frequency band as a network communication method for IoT data transmission, and expands the scope of IoT deployment in remote areas.

Askey’s smart 5G private network is designed for enterprise customers to build a dedicated wireless network, which integrates highly efficient 5G Small Cells, advanced 5G CPEs, self-developed 5G Private Network Management Platform (AMP), ruggedized enterprise-grade 5G Mobile Computers and 5G Cameras, and has excellent features of Low Latency, High-speed Transmission, and Ultra-high Reliability, and key benefits of Low Total Cost of Ownership, Easy Deployment and Management, and Superior Performance. It can be applied to smart manufacturing, smart transportation, smart exhibitions, smart cities, and other fields. We can tailor the network environment and continuously optimize it for customers, hence help enterprises build their 5G private networks easily and realize digital transformation quickly.

Leveraging on-site equipment, process steps, control settings, and product status, we enable abnormality detection, scheduling simulations, root cause analysis, troubleshooting, and actionable scheduling suggestions. Virtual measurement enhances MES data quality, boosting SPC alarm accuracy to 95%. By integrating MLOps and AutoML, we connect factory MES, SPC, WAT, and scheduling data to deliver precise abnormality predictions up to 8 hours in advance.

In view of the fact that generative AI will play a key role in the future smart medical care and bring many benefits and impacts, Huijia Health combines solutions from MediaTek and Microsoft Taiwan, to create the first dynamic health LLM "Generative AI Smart Care Assistance System". Huijia Health combines the Huijia nFOPT® 24-hour automatic room patrol system’s health databank with the "MediaTek DaVinci" generative AI service platform, and Microsoft Azure's high security, high privacy, and high compliance Cloud services, are planned to provide "Telemedicine", "Smart Consultation", "Smart Handover" and more "Generative AI Smart Care Assistance Systems" that will change the future.

The Sonora Plan is a presidential-level initiative aimed at fostering the development of the Sonora region through a focus on four key areas: 1. Developing Solar Power Plants and Supplying Green Energy: The plan emphasizes the construction of large-scale solar power plants to harness the region's abundant sunlight. This initiative aims to position Sonora as a leader in clean energy production, reducing carbon emissions and supporting the transition to green energy. 2. Science Parks and Public Infrastructure: The development of science parks and enhancement of public infrastructure are central to the Sonora Plan. These efforts are designed to attract high-quality investments, foster innovation, and create a conducive environment for technological advancements. 3. Strategic Development and Application of Mineral Resources: Sonora's rich mineral resources, including copper, gold, and lithium, are crucial to its economic potential. The plan focuses on the strategic development and application of these resources, particularly in supporting industries such as semiconductors and electric vehicles. 4. Talent Development to Support Local Industries: The Sonora Plan includes initiatives to develop local talent through education and training programs. By investing in STEM education and creating opportunities for skill development, the plan aims to ensure a steady supply of skilled professionals to support the region's growing industries.

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.