Smart bins for smarter recycling
Trashbot’s recycling technology sorts 300% more accurately than human beings.
Less than 35%* of your waste ends up being recycled
Today, most recycling bins’ contents end up in landfills. People are still uncertain when depositing an item in a recycling bin.
There is a gap in today’s recycling. Every year more companies set Zero Waste goals but at a high cost; signage is ineffective, waste audits are inefficient, and recycling education is still a work in progress.
From smartphones to electric cars, innovations in technology have made our lives easier. So why not make recycling smarter?
*EPA 32.1% recycling and composting rate (2018)
An absolute recycling solution
CleanRobotics developed a solution that allows recycling programs to be effective and drives substantial environmental impact by separating waste items at the time of disposal and eliminating human error.
TrashBot is a smart recycling bin that sorts waste at the point of disposal.
Through recycling AI, robotics, computer vision, and machine learning, our recycling technology diverts the item into its corresponding bin inside, assigning any contaminated items into the landfill bin or organics into their corresponding bins.
All of this with 95% accuracy.
The recycling bin of the future doesn’t stop there, it also generates high-quality data for waste audits, triggers fullness alerts, and features a large display for video content.
And thanks to cloud connectivity, your TrashBot fleet only gets smarter over time.
TrashBot is an excellent solution for areas where people dispose of things without a second thought, such as airports, hospitals, stadiums, and overall high-traffic facilities with Zero Waste goals.
TrashBot’s smart recycling technology
Recycling AI and robotics are revolutionizing waste and resource recovery. TrashBot is an autonomous system that uses robotics, computer vision, and artificial intelligence to detect and separate landfills from recyclables.
AI and machine learning sorting
As soon as an item enters TrashBot, a perception system captures and identifies the item’s image, through Machine Learning classifies the item by type of waste and diverts it to its respective bin, whether it’s recyclable, organic, or landfill.
Data and automated waste audits
TrashBot captures high-quality data and generates analytics for on-demand, exportable waste audits. With our intuitive dashboard users can monitor the bin’s capacity, track diversion rates, notice trends, and make strategic decisions.
Cloud connectivity and notifications
Your waste data is stored in the cloud (and accessible from selected devices), allowing your smart bin fleet to become more intelligent over time. TrashBot also monitors its internal capacity and triggers SMS or email notifications for the custodial team.
Convenience is the key to public recycling
Higher Diversion Rates
Our smart bin helps Zero Waste facilities increase sorting accuracy to 95%, in comparison to 30% of conventional bins. TrashBot’s recycling AI eliminates the general public’s uncertainty when throwing away recyclable items.
We often hear from facilities that their recycling bins’ contents end up in landfills – until implementing TrashBot. Our smart bin improves diversion, meaning affordable recycling and cost-effective environmental programs.
User Recycling Education
Our smart bin also features a large built-in screen and content management system. Leverage TrashBot for advertising, educating the public about recycling best practices or communicating your organization’s sustainability achievements.
A 2022 TrashBot pilot at one of the busiest airports in the world, showed that 40 TrashBots can divert 417 tons of recyclables a year. This results in the abatement of 1,111.30 metric tons of carbon dioxide equivalents, which is equal to taking hundreds of cars off the road.
TrashBot can increase waste composting by 200% or more. Often, packaging and compostable food waste get mixed and sent to landfill, our data shows that if facilities replace the four most popular packaging items, diversion can increase by 25%.