PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.

Our AI server features several advanced patented functionalities: • Ensure the Privacy of Local Data: Patented trusted computing protection mechanisms ensure data security and privacy. • Protect Local AI Models from Theft: Prevents locally deployed AI models from being stolen, safeguarding corporate intellectual property. • Specialized LLM Compression Technology: Efficiently processes large AI models, enhancing performance and reducing resource requirements. Enables the use of NVIDIA A-series GPUs in place of H-series GPUs, significantly reducing hardware costs. • Reduce Enterprise Deployment Costs and Energy Consumption: For example, when training a 13B model, GPU requirements can be reduced from 7 H100 GPUs to 2 A6000 GPUs, significantly lowering costs and energy consumption. Our solution not only ensures the security and privacy of corporate data and AI models but also reduces the costs and energy consumption associated with AI deployment, making it an ideal choice for enterprise users.

The operating room serves as the heartbeat of the hospital. Current procedures depend on paper, telephone, and fragmented information systems. This leads to diminished operational efficiency and wastage of resources across various fronts. Our cloud-based OR management system integrates OR indicators, scheduling, procedures, and safety checks, ensuring patient safety, reducing staff workload and optimizing operational efficiency. 1. Improve Efficiency and Safety 2. Reduce scheduling preparation time 3. Reduce safety checklist completion time 4. Reduce verification time of surgical instruments and equipment usage 5. Enhance operating room utilization rate 6. Ensure every step is correct and accurate before, during, and after surgery

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.

Remote expert video collaboration solution uses AR smart glasses to transmit onsite situation to the remote technical experts with high-definition real-time video, and guide the on-site engineer to troubleshoot and repair the fault from the first-person view perspective and free their hands. This is not only improves maintenance efficiency, but also ensures safety. It also achieve the sharing and inheritance of expert resources and high cost of traveling on site. When encountering difficult situations, multiple technical experts can also be invited for consultation. Experts can provide real-time multi-party HD video guidance with the on-site engineer, whether on PC or smartphone, to jointly solve technical issues and reduce downtime losses.

In the past, human operation and judgment were required, but now technology assists people in handling water distribution work. Set up water level or flow sensing devices in important water supply channels and transmit the collected data to the information management platform. Using online information or mobile APPs, water stewards can instantly grasp the field water distribution to achieve the goals of saving manpower and accurately allocating water. Taking the research results of the Jianan Irrigation District as an example, water stewards management can save about 20 to 25% of water by allocating irrigation water. If it is combined with Smart irrigation system, it can save another 5% of water. Currently, Water Resources Department, MOEA continues to cooperate with National Science and Technology Council, Ministry of Agriculture to gradually expand to 3,000 hectares in the Jianan Irrigation District and 3,000 hectares in the Kaohsiung Irrigation District, and gradually promote Smart irrigation and water-saving management technology.

Our energy management system can generate energy management data chart, display real-time 3D status display. Usage fields includes "Air conditioning system", "lighting control system", "charging pile management system", "energy storage management system", "power management system". It reduces the customer's risk of integrating different system interfaces and improve overall energy use Efficiency, the system regularly sends "Energy Verification Report", "System Efficiency Report", "Maintenance Notice" and other information to comply with the information required by the Energy Management Act, ISO14064-1, ISO50001, ISO14067 and other standards, reduce labor costs and consolidate data time, and can interface with traditional SCADA system information to upload to the cloud, solving the problem that traditional systems cannot be remotely monitored, allowing customers to get twice the result with half the effort on the path of ESG, energy conservation and carbon reduction.

The light rail transit (LRT) system could improve capacity of mass transit. However, most of the accidents occurred because road user run a red light, which affected LRT passenger rights. ž Using lidar/radar to detect the collision event may occurred. (reference the signal phase) ž Notify LRT driver the predicted event by C-V2X V2N solution. ž Outdoor N79 5G private network.

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.

Key Features: 1. First-Line Local Security Protection and Control - Equipped with a trusted edge computing platform, meeting industry needs for an IoT operating environment. 2. Quality of Service (QoS) Maintenance in Emergencies - Ensures system and service operation during unexpected network interruptions. 3. Trusted and Secure OTA Update Mechanism - Guarantees stability of device updates and prevents malicious software attacks on IoT devices. 4. Secure IoT Operating Environment Meeting Industry Needs - Industrial computer-grade hardware and software integrated system, resistant to extreme working environments, stable and reliable, compatible with OCPP 2.0 industry standards.

Smart Pole is the key infrastructure delivery element for the building of a Smart City. It’s one of the trends in the world as well. It provides lighting, sensing, video surveillance, digital display and more. Chunghwa Telecom smart pole platform provides smart management tools and graphical display interface to make everything easy to understand. To make our city living better and safer, Smart Pole from Chunghwa Telecom is the first step, and the most important step to take on.

The cleaner the sorting of recyclables in the resource circulation process, the higher their reusable value. We leverage the most advanced AI vision recognition technology to introduce innovative applications into existing production lines. Our systems automatically inspect the targets to ensure the purity of sorting, thereby increasing the reusable value and maximizing profits for the factories. By collecting and training with actual production line image data, we continuously update the dataset to handle various compositions of recyclables. Our vision recognition equipment features low-power hardware that can be easily and simply installed onto existing production lines. Additionally, we can create diverse labeling data for various recyclables.