3/28-3/31 Welcome to visit Smart City Expo 2023
Publicsh Date:2023.03.21
Exhibition Date: March 28 (Tue) to March 31 (Fri), 2023, a total of 4 days
March 28-30 10:00-18:00
March 31 10:00-17:00
Venue: Taipei Nangang Exhibition Hall 2 (No. 2, Jingmao 2nd Road, Nangang District, Taipei City)
The National Center for High-performance Computing (NCHC) of the NARLabs will offer the following content at the Expo. We look forward to seeing you.
- Civil Iot Taiwan Data Service/ Data Mart Service: Civil IoT Taiwan is a large-scale digital construction project constructed with the combined resources and strength of various government ministries with hopes of building various smart life service systems through AI Internet of Things technology.
- Smart Vehicle Investigation & Street View Analysis System: The NCHC, in an effort to solve urban safety and public security problems, has developed a smart vehicle cloud identification system to integrate mobile vehicles or CCTV streaming images at intersections for scene object analysis and graphic and text identification. This delivers effective improvements over the current manual, individual comparisons, and a large number of checking.
- Smart Traffic Flow Prediction & Optimization System: Using machine learning and deep learning technologies the system provides messages about traffic bottlenecks at anticipated road sections and time to help city managers, transportation departments, and drivers to better adjust their travel plans.
- Digital twins for planning and public participation: Scientists at the High Speed Computing Center at the University of Stuttgart (HLRS) have continued to develop new solutions using computer simulations to make simple challenging processes for urban planning. HLRS has applied the concept of digital twins to urban planning in several of its recent projects in the hope of making the planning process more intuitive and facilitating improved community involvement.
- I Listen therefore I See : Image information is not useful for the visually impaired. We have combined visual features and visual converters in an image description model, the text description generated by which is further combined with voice reading to help the visually impaired obtain information to learn.