Urban Data Science Laboratory Project for Future City with Data Foundation

Research Overview

This project is supported by Urban Data Science Laboratory under the Seoul Metropolitan Government and uses big data to solve various problems in the city. In particular, the Platform part creates a platform for collecting and analyzing multiple pieces of data in the city and solves problems based on data collected by this platform.

Currently, research on real-time noise value collection and analysis in Seoul is underway, and research on real-time detection of abnormal noises that may occur in traffic and crime prevention environments in cities such as screams, glass breaking sounds, and horn sounds is underway.

Figure 1. platform device; audio analysis module

Publications

  • Lee, Jaejun, Wansoo Kim, and Kyogu Lee. “Convolutional neural network based traffic sound classification robust to environmental noise.” (2018): 469-474.