WIS

AI Camera Contamination Detection

Hopper camera view of bins emptying into a truck
Cardboard · OK
Paper · OK
Plastic bag · Contaminant
AI analyzing

Know what your customers are disposing

Our Smart AI cameras see and analyze what is thrown by customers into your garbage trucks

Reduce contamination

Our solution gives you the knowledge and data to reduce contamination on your service routes

Increase Recycling Accuracy

WIS gives you the data you need to better educate what your customers are doing right and wrong

Two phases

How it works

Contaminant library7 preloaded
Black plastic bag
Gas cylinder
Glass bottle
Rope
Syringe
Plastic bottles
Plastic bag
+Train your own
01

Machine Learning

Our solution is driven first by machine learning which is then followed by AI. The machine learning phase is where we train the cameras to detect the main targeted items of contamination. The WIS system is preloaded with numerous industry recognized problematic contaminants. With additional machine learning we can train the model to detect additional contaminants that may be unique to your requirements.

Truck camera capturing a curbside bin lift
Bin lift detected
Customer accountCollection image attachedUpdated automatically
02

AI Automated Detection

There are two important elements to the WIS system. Firstly it is the use of AI that drives the solution. The second is the automation that we have built into the system. Images are analyzed by our AI technologies and identified from each curbside collection. Our automation then kicks in and updates each individual customer account without the need for any staff to do manual reviews or uploads.

Benefits

What are the benefits?

01

Increasing the accuracy of waste disposal at source

To increase the accuracy of waste disposal is difficult for many reasons. Without data, it is almost impossible. Education is the key and this begins with a system that can identify what is right and wrong. It also replaces manual inspections or manual image reviews with an automated system that is more accurate, reliable and dependable.

02

Education that works

It can be hard to change a person or household's habit. However with image based education, you have a tool that can deliver. Up to 80% of the information our brains process is visual. The WIS solution delivers you analyzed images for each collection, allowing you to educate each individual account with a personalized message.

1
Contaminant detected
Full black plastic bag detected at 93%
2
Text message sent
City of Gothamnow

Hi John, last week on your recycling collection, we found unopened black plastic bags in your collection. This causes an issue for us when trying to recycle the contents.

3
Postcard sent
Greetings from your waste collection service!

Hi John, last week on your recycling collection, we found unopened black plastic bags in your collection. This causes an issue for us when trying to recycle the contents. Please in future, do not place items in bags in the recycling week. This will help us sort the waste properly and improve recycling in the City.

John Sander101 Oak DriveCity of GothamUSA
Outcomes

What are the results?

01

More accurate collections

The WIS system, through reliable AI powered contamination detection helps you reduce contamination in waste streams

02

Better understanding

An image is worth a thousand words! Trying to educate through text is hit and miss and also very generic. Image based education leads to better understanding

03

Helping to grow our Circular Economy

Getting more accurate waste into the right collections increases the levels of recycling. This is a key driver in building a sustainable circular economy.

04

Increased Revenues

Better recycling equals more potential revenue. The accuracy of what is presented to a MRF determines how much can be recovered and sold back to the market.

05

Less issues at MRFs

MRFs don't generate their own problems. Problems are caused by people and what they are trying to dispose of. Detection at truck level decreases issues such as stoppages etc.

Get in touch

A member of WIS team will be in touch shortly
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