On construction sites, optimizing both the sorting and the filling of containers is very important, for a more sustainable construction industry.
Besix understood this quite well and was looking for a solution that could automate the monitoring of both the containers’ purity and filling.
On every construction site, the amount of waste produced is very important and should therefore be managed.
For a more sustainable construction industry, companies have established processes to recycle waste: it is sorted and stored in containers to later be recovered.
When they are disposed of, the containers are sold to recycling companies. The price at which they are sold depends on their level of purity, i.e. on the percentage of specific type of waste (such as wood, iron, etc.), it contains but is also proportional to the number of containers sold.
On the construction site, optimizing both the sorting and the filling of containers is therefore very important. The monitoring should be continuous to have a precise measure of each containers’ purity, but it would be suboptimal to dedicate someone for this sole task. Moreover, a filling measure should be available at all time.
By working closely with Besix, Sagacify built a solution that is able to monitor waste sorting and container’s filling in real-time without the need for manual input.
Based on computer vision technology, our algorithms automatically identify and analyze the nature of waste in the containers. Then, they monitor the trash sorting and the quantities in the foreseen containers, based on images of the construction site, retrieved from a camera.
We are thrilled to have helped Besix in this project, showing the huge potential for AI to contribute to sustainable development.