To reduce conflict traffic flow and improve road safety, intelligence technology equipments (e.g., vehicle detectors, Changeable Message Sign (CMS), Closed-Circuit Television (CCTV), actuated signal control) were installed in 180-degree turning road on the District Road No. 107-1 in Wulai District, New Taipei City. If vehicle detectors are activated by a large vehicle, signal control system will have following processes: (1) activate signalized control to this road section; (2) give priority to this large vehicle by designating green light to its direction; and (3) assign red phase to another direction. This process can make sure large vehicle can go through the curvy road section smoothly, safely and efficiently.

By applying environmental sensing IoT technology and mobile sensors, the coverage of sensing can be significantly enhanced. With the analysis through AI algorithms, it assists governments in identifying potential sources of pollution for regulatory actions and pollution reduction measures. Meanwhile, supplemented by generative AI innovation technology, it achieves smart environmental governance.

CRAM's low-carbon recycling plastics have been certified by Germany's TÜV Rheinland for environmentally friendly materials and carbon footprint, including ABS.PC . PPO . PC/ABS . PP . PS . Only one tenth of the new material. Application areas include household appliances, information communications, semiconductors.

Artificial intelligence has gradually matured. Combined with image recognition, it can detect traffic accidents on the road and immediately notify the traffic control center. Taipei MRT also uses AI model calculations grasp real-time crowd flow information to improve the safety of passers-by. The launch and popularization of Youbike 2.0 not only improves the convenience of the public, but also achieves carbon reduction. In the field of bus transportation, the system also makes the overall traffic environment more convenient and friendlier!

Applying our technologies portfolio to IoT system, we expand the diverse solutions with hardware, software and cloud services to custom reliable and cost-effective applications to incubate smart parks.

Video surveillance systems are deployed at many public spaces for Urban security and surveillance purposes such as airports, train stations, and shopping malls. However, it is laborious to analysis and retrieval for specific persons in multiple camera surveillance systems, especially in the cluttered background and appearance variations among multiple cameras. In order to address the problem, this system presents an AI video analysis and retrieval method to extract the human attribute via deep-learning instance-segmentation technology. It uses attributes like clothes color and type to describe a person. The proposed system of person retrieval consists of four steps: (i) using deep-learning instance-segmentation technology to perform pixel-wise person segmentation; (ii) appearance-based attribute features with multi-CNN; (iii) search engine with fundamental attributes matching approach; and (iv) the video summarization technique to produce temporal abstraction of retrieval objects.

airaTrack is a comprehensive personnel tracking system that utilizes AI algorithms developed by our team to extract features from both the "face and figure." It generates unique biometric IDs with a recognition accuracy of up to 99%, all without the need for registering facial data, addressing privacy concerns. Capable of cross-camera searches and matching 10,000 faces per second, it significantly enhances the efficiency of traditional manual matching processes and increases search efficiency and accuracy by 97% enabling automatic path tracking of personnel in the field. The system also generates investigation reports for evidential preservation.

MiTAC has leverage the RFID technology and integrated with related solutionsto modify the warehousing and production management system. MiTAC's RFID Smart Manufacturing Solution has been applied in various industry, such as IPC, LED, Semiconductor, and textile industry. MiTAC has provided complete RFID application solutions these years from the inventory to production management system. We sees RFID as a game changer. Besides the RFID technology, the integrated application system is also important. MiTAC also develope the application systems. For each different scenario. We’ve developed a different system to work out a more complete RFID solution. We've also used supervised learning AI modules to develop MiTAC’s MiAION SeeR, a failure detection solution. MiTAC's strong software development ability is the biggest advantage.

River dust from the region between the Daan River and Dajia River basins along Provincial Highway No. 1 in Taichung to the estuary has a wide impact on the surrounding area. Over the years, manual inspections, satellite imagery and other techniques have been employed to determine exposed locations. However, due to factors such as gravel, light source, and resolution, image analysis cannot be used to accurately identify gravel or sand sources. Even if drone aerial photography is used, it still takes time to manually select and calculate sand sources. To quickly and effectively monitor potential river dust locations, the "AI Sand Source Identification System" was developed to establish a drone database for the automatic marking and positioning of sand sources and their respective areas. Moreover, in conjunction with the "River Dust AI Smart Protection Network", we can reduce the harm of river dust to the public and make response operations more intelligent.

QC3(Quanta Cloud-based Collaborative Communication) provides a total solution to collaborative communication based on cloud technology and allows users to attend online meetings from their smartphones, tablets and PCs anytime,anywhere.QOCA home is a scalable and flexible cloud-based platform to enable integrated home telehealth and additional services with simple remote configuration andauto provisioning for seniors, chronic patients, and assisted living residents.

ISO 20121 is an international management system standard for the sustainable development of events. It provides a standard framework that organizations can follow when organizing events. It is applicable to all organizations to ensure that they can organize and execute various activities (such as conferences, exhibitions, concerts, and sports events). etc.), the main purpose is to understand the potential social, economic, and environmental impact of the activity project through multi-faceted evaluation, which can reduce the negative impact and enhance the positive impact on participants, stakeholders, and the community. force. To promote a more complete management system, the evaluation object of this standard has been expanded to the entire supply chain and participating stakeholders. In the form of continuous improvement, it provides the organization with the advantages of continuous internal training and shaping of the company's sustainable image, which helps to enhance the company's sustainable influence, reduce environmental footprint, resource use, save costs and harmonize with local communities. cultural influence.

New Taipei City is the country’s largest first-level administrative district and holds around 100 roads and pipelines to effectively maintain various daily needs. With this comes an average of 10,000 construction cases per year that are audited to maintain the normal supply of various underground pipeline resources. This eventually led to negative impact such as traffic, decreased road quality and the waste of resources. To provide citizens with a higher quality road that can simultaneously co-exist with the construction process within limited human resources and budget, the “Smart Road Management Center” was created. The project focused on 5 goals: streamline administration process, mobile governance, smart management, develop value-added applications, and transparent governance. Through virtualization, cloudification, and intelligence, it can grasp road construction in real time, observe maintenance status, and support road rescue decision-making, all which can improve the overall road maintenance effectiveness.