Waste Management Robotics and AI

AI in Waste Management

When it comes to sorting, the role of AI in Recycling becomes incredibly intricate. That’s because AI-powered sensors are a vast improvement compared to traditional optic sensors. Segmentation in image processing allows to  detect items made from different materials as well as nuances between items of the same material, including whether an item has been chemically contaminated, ensuring purity of the waste stream. We use either both Hyperspectral Imaging and RGB Camera with High Diversity, High Density Material. With Low Density Material, We use RGB Cameras to Detect and Sort Materials.

Smart Bin Systems Vs. Material Recovery Facility

While the goal of both smart bins and MRFs is to reduce waste that goes into landfills and improve reusability, each approach has certain advantages over the other. We will outline some of the main differences in the table below.

Smart Recycling Bins

Material Recovery Facility 


Waste is sorted as soon as it is dumpled.

Single-stream recycling materials from the curbside recycling bins are collected and resorted.


Uses AI and computer vision, which means up to 97% accuracy.

High accuracy rates due to the use of AI and ML.

Human Intervention

Almost no human intervention from the very beginning. 

Sorts and processes materials recycled by humans leaving room for human error.

Garbage Collection frequency

Bins send a notification once they are full and are ready to be emptied.

Garbage is collected regularly from the curbside.

Ease of Use

Very easy to use and perfect solution for busy areas.

Materials are collected from recycling bins and sent to the facility. 

How Vancouver Automation can help you ?