How Construction debris detection from a drone can reduce inspection cost

AI with Drones

Technology CV
Industry Construction
Potential industries Environment and Urban Development, Real Estate, Logistics, and Transportation
Client City municipality

Summary

We developed artificial intelligence drones and a drone-based application for a city municipality that detects and reports 25 construction debris types. The solution considerably automatized the construction site inspections process, significantly reducing human involvement and average inspection costs. According to customer estimates, the system saves 320 man-hours per month, reducing average inspection costs by 40%.

Challenge

A city municipality requested a solution to automate completed construction sites compliance to detect abandoned construction debris such as bricks, cement blocks, sand heaps, metal and wooden sticks, etc. It was crucial to have an automated solution, like drone computer vision, to minimize human involvement in the inspection process, thus reducing labor costs and time required for an inspection.

Solution by AI Superior

We applied our proprietary computer vision technology for object detection, classification, and segmentation to detect 25 different construction debris classes. We built a GIS dashboard to allow the selection of a construction site and visualize all the debris detected. 

Additionally, for every detected object, the system provided an estimated size (area) of construction debris (for a single object and clusters of objects of the same type) and the number of detected objects. The application provides insights, while employing a GIS dashboard and exposes APIs to query detection results – this allows the solution to be integrated into practically any other system.

The picture shows the result of the Construction debris detection from a drone. The different objects are dyed in different colors.

Outcome and Implications

Drones technology were adopted by multiple city municipalities demonstrating its operational and economic effectiveness. According to customer estimates, the system saves 320 man-hours per month, reducing average inspection costs by 40%.