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: DroneGIS
- Manual annotation: approx. 15 minutes
- Initial machine learning detector's training in DroneGIS cloud: approx. 50 minutes
Result:
- Shareable web-map with marked defects in DroneGIS
- Report with georeferenced areas in GeoJSON
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