Jun 03, 2022
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Service categories
Service Lines
Big Data
Domain focus
Technology
Challenge
A city municipality requested a solution that allowed them to fully automate construction site compliance monitoring and detect abandoned construction debris such as bricks, cement blocks, sand heaps, metal and wooden sticks, etc. It was crucial to have an automated solution that would minimize human involvement in the inspection process thus reducing labor costs as well as the time required for an inspection.
A city municipality requested a solution that allowed them to fully automate construction site compliance monitoring and detect abandoned construction debris such as bricks, cement blocks, sand heaps, metal and wooden sticks, etc. It was crucial to have an automated solution that would minimize human involvement in the inspection process thus reducing labor costs as well as the time required for an inspection.
Solution
We applied our proprietary computer vision technology for object detection, classification, and segmentation to detect 25 different classes of construction debris. We built a GIS dashboard to allow selection of a construction site and the visualization of all the debris detected within it. 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) as well as the amount of detected objects. The application provided insights, while employing a GIS dashboard and exposed APIs to query detection results – this allowed the solution to be integrated to practically any other system.
We applied our proprietary computer vision technology for object detection, classification, and segmentation to detect 25 different classes of construction debris. We built a GIS dashboard to allow selection of a construction site and the visualization of all the debris detected within it. 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) as well as the amount of detected objects. The application provided insights, while employing a GIS dashboard and exposed APIs to query detection results – this allowed the solution to be integrated to practically any other system.
Results
The solution was adopted by multiple city municipalities demonstrating its operational and economical effectiveness. Furthermore, according to our customer estimates, the system saved 320 man-hours per month and reduced average inspection costs by 40%.
The solution was adopted by multiple city municipalities demonstrating its operational and economical effectiveness. Furthermore, according to our customer estimates, the system saved 320 man-hours per month and reduced average inspection costs by 40%.