While it is clearly evident that plastic is leaking into nature at an alarming rate as can be seen all around the world - we see it in virtually every ecosystem, in our waterways, our oceans, our beaches and beyond. What is not clear, is how much plastic is actually leaking into nature, where it is coming from and where are the hotspots. Without clear data on plastic litter pathways, it is extremely difficult to develop and implement solutions that are effective at curbing plastic pollution.
Litterati is on a mission to eradicate litter. Their technology empowers people to not just clean the planet, but to also contribute to the crowd-sourced Litter Database that is keeping track of the different types of litter that are found in specific locations at specific times. Litterati uses LitterAi (Image recognition) to extract the type of Object, Material and Brand (when possible) from each image and then derives patterns and insights to assist in finding solutions and support decisions with data.
Litterati’s Global Litter Database has been used to inform government policy, influence changes to more eco-friendly packaging, and inspire greater personal responsibility amongst fellow citizens.
Here's how it works:
1. Install the app.
The Litterati app can be installed on a smart phone device from the Apple App Store or Google Play Store.
2. Photograph a piece of litter.
Find a discarded coffee cup, crushed soda can, candy wrapper, or any other piece of litter and take a picture. Learn More.
3. Discard Properly & Tag the Photo.
The app automatically geo-tags the image and the LitterAI tool recommends tags to identify the type of litter. Confirm the tags to help the LitterAI keep learning.
4. Invite or Challenge Others.
Want to collaborate (or compete) with others to help keep your street, neighborhood, school grounds, or city clean? Litterati can help you team up! Learn More.
5. Use LitterData to Inspire Change.
Litterati members all over the world have been able to use LitterData to get companies, organizations, and governments to create positive environmental policy changes.
Litter data has long been collected by Governments, NGO's and citizen volunteers to inform and advise policy makers. However, the traditional data collection methods include manual litter counting and later manual data entry into databases. Litterati's novel approach uses imagery and mapping software to automate and visualize the data collection process.
See case study examples here.