Heidilr Finds Unreported Repair Traces in Thermal AI Diagnostics
TECHWORLD ·
✦ AI Summary
Heidilr announced on the 10th that it has been running a pilot of its AI vehicle diagnostic solution, "Heidilr eye," and has compared more than 15,000 certified used cars diagnosed from January through early September against their performance records.
During the same period, diagnoses of 15,236 vehicles found repair traces such as repainting and panel work that were not listed in the performance records in 5,823 vehicles.
Of these, 2,792 vehicles had newly identified traces in cars with no history listed in the performance records, while 3,031 vehicles had additional repair areas identified in cars with some repair history.
Heidilr announced on the 10th that it has been running a pilot of its AI vehicle diagnostic solution, "Heidilr eye," and has compared more than 15,000 certified used cars diagnosed from January through early September against their existing performance records. The total number of vehicles diagnosed during the same period was 15,236.
Heidilr said that, of the 15,236 vehicles diagnosed, it found repair traces such as repainting and panel work that were not listed in the performance records in 5,823 vehicles. That means vehicles with repainting, panel work and other repair traces not stated in the performance records accounted for about 38%, or more than 5,800 vehicles.
Of the 5,823 vehicles, 2,792 were cases in which related traces were newly found in vehicles with no repainting or panel work history listed in the performance records. The remaining 3,031 were cases in which additional repair areas were found in vehicles with some repair history already recorded.
Heidilr eye is a vehicle diagnostic solution based on AI analysis of thermal imaging scan data. The solution works by using a robotic arm equipped with a thermal imaging camera to scan the entire vehicle surface area by area, after which AI analyzes the scan data. The diagnostic targets are repair traces such as repainting and panel work, and the AI visualizes the areas where those traces are found.
The diagnostic results are provided as images showing repair traces. The analysis results are disclosed in Heidilr certified used car listing information, and images of the analysis results for the entire vehicle surface area are also provided. This helps address the limitation of being unable to identify repainting or panel work traces from existing information alone, allowing consumers to check for themselves.
A Heidilr representative said the company provides diagnostic information so consumers can directly check vehicle conditions that are difficult to verify using existing performance inspection information alone. The representative added that the company plans to continue advancing its AI-based vehicle diagnostic technology and to build an environment in which consumers can choose used cars based on sufficient information.
Source: TECHWORLD · Kim Hye-jin
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406780
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Source: TECHWORLD
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