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2019 Smart City Summit & Expo

Publicsh Date:2019.03.26
Active Date:2019/03/26 ~ 2019/03/29
Smart City Summit & Expo Official Website
Program March 25–29, 2019
Exhibits March 26–29, 2019 (March 26th 9:00-18:00; March 27th-29th 10:00-18:00)

VENUE
Nangang Exhibition Center, Hall 1 (No.1, Jingmao 2nd Rd., Nangang District, Taipei City)


NCHC booths
Welcome toSmart City ExpoatNCHC booths J405&I514duringMarch 26–29, 2019atNangang Exhibition Center, Hall 1. We look forward to seeing you at Smart City Expo!


Floor Plans
Floor Plans



Application of AIoT on structures/wind turbine conditionmonitoring
Contacts: Dr. Su
Email:1203017@narlabs.org.tw

  • Integration of sensor nodes for vibration measurement (IoT technology) with AI-based diagnosis approach of dynamical system.
  • Implementation of AI-based diagnosis approach of dynamical system via personal and movable AI/BD integration computing platform.
  • Application on bridges and buildings conditionmonitoring.
  • Application on wind turbine condition monitoring.

Integration of sensor nodes for vibration measurement (IoT technology) with AI-based diagnosis approach of dynamical system
Integration of sensor nodes for vibration measurement (IoT technology) with AI-based diagnosis approach of dynamical system


Implementation of AI-based diagnosis approach of dynamical system via personal and movable AI/BD integration computing platform
Implementation of AI-based diagnosis approach of dynamical system via personal and movable AI/BD integration computing platform


Application on bridge and buildings condition monitoring
Application on bridges and buildings condition monitoring


Application on wind turbine condition monitoring
Application on wind turbine condition monitoring



Deep Learning for Flooding Water Level Image Recognition- Water Resources Agency, MOEA Cooperation Project
Contacts: Dr. Wu
Email: c00jhw00@narlabs.org.tw

In cooperation with the Water Resources Agency, Ministry of Economic Affairs, combined with deep learning and intersection surveillance images, vehicle identification is used to identify the image of road flood depth estimation. This method can use the existing monitoring system in the city to quickly improve the flood warning and notification of flood detect system.


Flooding Water Level Image (1)
Flooding Water Level Image (1)

Flooding Water Level Image (2)
Flooding Water Level Image (2)

Image Recognition Example
Image Recognition Example

Deep Learning Database
Deep Learning Database



Take the Hsinchu City Government as an example - How the government departmentspromote the study of artificial intelligence and smart city applications

Contacts: Ms. Vivian Cheng
Email: T0013@ems.hccg.gov.tw

The Hsinchu City Government upholds the opening data, creating innovative ideas and mutual prosperity. At the same time, we pay attention to the impact of artificial intelligence technology on smart cities. It is well-known that artificial intelligence technology development materials are often indispensable, so the high-quality fisheye camera image data is actively released and cooperate with National Chiao Tung University and National Center for High-Performance Computing. Based on the fisheye camera image traffic survey technology, it is expected to promote the research and application of advanced artificial intelligence technology in urban traffic management.

Cooperation results
  • Crossroad fisheye monitor image traffic detection application
  1. Vehicle identification
  2. Analysis of traffic hot zone
  3. Track tracking and counting
  4. Image correction / vehicle image segmentation and tracking
  • Future direction
  1. Analysis of the relationship between city-level traffic information and people flow information
  2. Importing artificial intelligence technology to optimize traffic sign control and traffic route planning
  3. Intelligent instant traffic message broadcast



Analysis of traffic hot zone
Analysis of traffic hot zone

Analysis of traffic hot zone
Analysis of traffic hot zone