Seongnam City AI Competition... "Redevelopment Assistant" and "Automated Tactile Paving Inspection" Win Grand Prizes

Seongnam City Selects Outstanding Projects at AI Competition
196 Teams from Across the Country Participate

AI ideas that provide complex redevelopment information tailored to residents' circumstances and use photos to detect problems with sidewalk tactile paving blocks won the grand prizes at a Seongnam City competition.

Winners of the 2nd Seongnam x KAIST AI Competition. Courtesy of Seongnam City.

Seongnam City, Gyeonggi Province (Mayor Shin Sang-jin), announced on November 11 that it had selected outstanding projects to address inconveniences in residents' daily lives and community issues at the 2nd Seongnam x KAIST AI Competition, co-hosted with the Korea Advanced Institute of Science and Technology (KAIST).

A total of 196 teams from across the country took part in the competition. The 16 teams that passed the document review gave presentations and answered questions in the final round, held on October 24 at Sanseong Nuri Hall at Seongnam City Hall. Judges evaluated the projects based on their public value in addressing local issues, practical applicability, and the teams' understanding of and ability to implement AI technology.

The general division grand prize went to Team Trust, which proposed "Our Neighborhood Redevelopment Assistant." The service is designed to help residents in redevelopment project areas in Seongnam's old downtown understand relevant laws, public notices, and announcements in simple terms tailored to their residential area and circumstances. It analyzes related documents so residents can identify the procedures and support available to them.

The student division grand prize went to Team Ha Seonung, which proposed a "Computer Vision-Based Automated Inspection and Citizen Reporting System for Sidewalk Tactile Paving." The system uses AI to analyze photos submitted by citizens and check the installation condition of tactile paving blocks and whether there are any obstacles. It is designed to enable repairs and maintenance following review by the officials in charge.

The general division's Excellence Awards went to Team Creative Nexus, which proposed a prioritization rationale table for improving pedestrian environments, and participant Cheon Donghyeon, who proposed a service to notify residents of addresses designated in Seongnam City notices. In the student division, Team JDP, which proposed "Safe Path," a route recommendation service for older adults, and Team Bapadeomi, which proposed an emergency vehicle route planning recovery system, each received an Excellence Award.

Other award-winning ideas included linking older adults to welfare services, monitoring the condition of storm drains, pedestrian safety, smart bus shelters, and mobility support for people with limited mobility.

Seongnam City plans to continue identifying AI ideas and talent that can be used to address local issues in cooperation with KAIST.

A Seongnam City official said, "The participation of many teams from across the country showed the high level of interest in solving local issues with AI technology," adding, "We will work to ensure that outstanding ideas lead to policies and services that benefit residents' lives."

This content was produced with the assistance of AI translation services.