What happened
Hwaseong City in Gyeonggi Province spent KRW 2,188 million from June 2022 to December 2024 on a system to detect potholes. Terminals in 82 vehicles detect potholes and other road hazards automatically. South Korea's Board of Audit and Inspection examined it in a performance audit of public-sector AI, published on 5 January 2026. In a formal evaluation under national criteria for intelligent transport systems, the system had scored a detection accuracy of 93.8%. Yet the city's road department could not make proper use of the results. The system flagged minor damage below the city's repair standard and located potholes only to the town or neighborhood. A KRW 353 million upgrade from December 2024 to June 2025 aligned the grades with the repair standard. It also added street addresses and GPS coordinates. The board reports that the city measured 90% accuracy in its own test in May 2025 and that operating efficiency improved. The board notes that the system still flags potholes on expressways and national roads that the city does not manage. The vendor's name is redacted in the public report.
Sources
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Report, by authors with no tie to the system.
Board of Audit and Inspection of Korea (감사원). 감사보고서 - 인공지능 대비실태 Ⅰ(신뢰성 확보 분야) - [Performance audit report, AI preparedness I: ensuring reliability]. Report dated December 2025, published 5 January 2026. Chapter 3, section 4, printed pp. 50-52.
그 결과 2025년 5월 화성시가 포트홀 감지시스템 단말기의 성능을 시험한 결과 포트홀 탐지 정확도가 90%로 개선된 것으로 나타났고, 도로파손 위치 정보도 사용자가 알기 쉽게 도로명 주소 등이 제공되고 있어 위 시스템의 운용 효율성이 향상48)되었다.
Details
AI system
- Workflow
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Terminals in 82 city vehicles filmed the road and flagged potholes automatically. The upgrade graded potholes by width against the city's repair standard and gave locations as street addresses and GPS coordinates.
Follow-up
- Conditions for replication
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The city's repair standard must be written into the system's performance requirements. Commercial AI products need further training on local data to perform as expected.
Entry details
- Sector
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Road maintenance.
- Purpose
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A vendor whose name is redacted in the public report built the system to detect potholes and fallen objects from terminals in city vehicles.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). Hwaseong's pothole detectors work better after an upgrade (AIBD-0703). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0703.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)