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.

Delivering a comprehensive fire and disaster information service, it allows users to access evacuation information even in offline environments. Based on the user's location, it provides immediate push notifications for 21 types of disaster alerts, including heavy rain, typhoons, and earthquakes. Additionally, it updates critical maps such as shelter locations and air-raid shelters as offline resources.

Provide EOC at all levels to disaster management, notification and response, task dispatch, evacuation and shelter, resource scheduling, search and rescue, analysis Statistics, etc. after a disaster occur. Strengthen the collaborative response and dispatch capabilities of central and local governments in large-scale disasters. Minimize the damages caused by disasters. Disaster prevention and relief data are presented in visual charts, showing the latest disaster situation in the disaster area, and can include a variety of warning messages, disaster information, monitoring information, disaster response information and other graphics layers. The graphical interface decision-making dashboard can display important commands Decision-making auxiliary information is provided to commanders at all levels for reference, and then they can issue disaster relief response instructions according to different situations, strengthen the effective use and management of resources, and increase disaster relief energy.

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.

Through 5G’s features of high speed, low latency and big connection, the 5G enterprise private network can provide highly secure and reliable network services. In order to avoid the outflow of sensitive data, enterprises can transmit data on this internal network to keep it isolated from the public network. Currently, this is being used in manufacturing, medical, transportation, and in other industries which also have demanding network quality requirements. Chunghwa Telecom’s self- developed "5G intelligent A +" private network service adopts independent core network technology and can connect to both the N78 public network and the N79 private network at the same time. It also has a number of world-leading exclusive functions, including the ability to determine whether data can enter the enterprise intranet based on conditions such as serial number, IP, and website address. It can also adjust bandwidth and data access rights based on person, time, and location. Combined with cloud and a variety of other application services, the CHT 5G private network enables enterprises to establish a complete network solution.

Real-time 3D precise positioning service (LBS) uses ultra-wideband (UWB) technology to track objects with precise positioning accuracy; this LSB also includes RTLS 3D back-end software, UWB anchors and UWB positioning tag products.

The Address GeoCoding Module (geoCoder) provided by RiChi Technology is designed to solve the address formalization and positioning. No matter how complex the address is, it can easily solve it with one click and comply with the nationally defined address format! geoCoder provides various data cleaning functions, including: house number normalization, comprehensive format standardization of input addresses, road settlement conversion, abbreviation processing, address missing and removal of redundant information and other services; the positioning function performs coordinate query for the input address, providing longitude and latitude or TWD97 two-dimensional zone coordinates; multiple numbers or floor address strings are split, and the module can systematically and effectively split and process them into standardized writing to ensure the accuracy and completeness of address data.

"EUP Fleet Management System" can easily manage the core needs of vehicle dynamics, task progress, emergency response, and utilize AI to analyze driving behavior, fuel consumption, and effectively control costs. In addition, EUP provides comprehensive safety driving checks, tracks driver driving habits and physiological monitoring, significantly improving driving safety, and assisting companies in building a safe, efficient, and low-carbon transportation fleet.

Millilab provides smart automotive in-cabin solutions, including both hardware and software as well as total solutions for CPD (Child-Presence Detection) and DMS (Driver Monitoring System). With our proprietary algorithms, our radar modules can distinguish between adults and children, helping to prevent incidents where children are left unattended in vehicles.

ASUS Ultrasound Imaging System is a software based ultrasound solution enabling qualified and trained healthcare professionals to visualize anatomical structures and fluid. Easy-to use interface and handheld availability meet requirements of use in clinical purposes and home/ community healthcare environment. (1)Imaging Modes:B mode, M mode, Color Flow, Power Doppler, PW Doppler. (2)Probes: Linear, Convex, MicroConvex, Phased Array, Endocavity. (3)Battery continuously operating time up to 4 hours.

Infrared thermal imaging cameras use infrared thermal radiation emitted by objects to form a clear image and temperature distribution analysis image through the software to provide fast and non-contact temperature detection. For machine and manufacturing, thermal imaging cameras can be used to ensure electrical safety, and predictive maintenance of production machine and troubleshooting of after-sales services.

RiChitech has pioneered integrating generative AI models with GIS drawing technology, developing the generative smart map drawing module—geoAI Maker. This module is designed for users with many spatial description documents and graphic information but cannot identify locations and create maps. geoAI Maker can automatically recognize text and images, parse various types of spatial descriptions (such as addresses, landmarks, and range information), and further convert the content into GIS spatial coordinates, automatically generating vector maps. This process fully leverages the powerful capabilities of generative AI, allowing users to immediately utilize advanced analysis and visualization displays, helping various industries solve and accelerate the processing of spatial data.