‍Road maintenance is a complex task requiring:

• Localization of defect areas
• Counting approximate area sizes for repair
• Planning sufficient but not excessive material and human resources

Process:

• Survey mission planned with UgCS
• Drone: DJI Phantom 4
• Map storage and processing: ATLAS
• Manual annotation: approx. 15 minutes
• Initial machine learning detector's training in ATLAS cloud: approx. 50 minutes
  

Result:

• Shareable web-map with marked defects in ATLAS
• Report with georeferenced areas in GeoJSON

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Here is an example of how areas with cracked asphalt can be identified with Atlas: CASE#1

Client: G2 INGENIERIA PARA LA CONSTRUCCIÓN S.A. DE C.V.#nbsp;

Country: Mexico

Industry: Civil Engineering, Construction & Maintenance

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