Pello Smart Waste Technology Launches at Citi Field to Advance Sustainability and Fan Experience
RTS launches Pello, an AI waste platform at Citi Field, to optimize recycling and efficiency through real-time data.
Introducing
Advanced AI sensor technology for sustainable waste management.
AI-Powered Sensors For Smarter Waste Operations
- Reduce C02 emissions
- Detect contamination earlier
- Meet zero waste goals
Pello sensors measure inside waste and recycling bins in real time, detecting fullness and contamination as it happens. These insights prevent overflows, correct sorting errors earlier, increase diversion, and reduce emissions from unnecessary pickups.
Trusted by Leaders Across Every Industry
Manage your waste more efficiently and lower your environmental footprint.
Cut waste spend through smarter scheduling, right-sized service, and fewer unnecessary pickups.
Streamline operations with automated workflows and real-time visibility across all locations.
Prevent overflows with proactive monitoring and optimized pickup timing.
Track and manage containers, equipment, and service levels in one centralized system.
Turn waste data into actionable insights with clear benchmarks and performance reporting.
Bringing Pello to Citi Field strengthens our ability to run the stadium more efficiently while advancing our sustainability strategy. RTS has been a trusted partner, and this new technology gives us even more tools to deliver cleaner facilities and better outcomes.
Monitor
Real-Time Visibility Into Every Bin
Installed in minutes, Pello Smart Sensor monitors bin fill levels, tracks container locations, and identifies contamination.
Monitor Bin Fullness
Track container locations
Detect Contamination
Measure
The Insight and Control You Need with Real-Time Data
The Pello Dashboard offers everything at your fingertips, providing an easy snapshot of the key operational metrics you depend on.
Full Visibility
Data-Driven Decisions
Manage
AI-Enabled Technology That Strengthens Efficiency at Scale
Pello’s imaging AI and fullness data identifies pickups with over 95% accuracy, optimizing operational efficiencies with real data.
Cost Savings
Sustainability
Discover how Pello can turn your waste operations into a strategic advantage.
Want to improve your waste and recycling operations?
Contact us to learn more.
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Pello In Action
How Pello’s Contamination AI Increased Efficiency + Reduced Environmental Impact at one of Canada's Largest Universities
Problem
Customers receive surcharges, face compliance issues, and miss diversion goals because of waste contamination.
Hypothesis
It’s possible to improve efficiency and increase diversion rates by identifying contamination.
Research
Pello Sensors and live cameras were installed to detect bin fullness and contamination. Pello then deployed an AI-deep learning model to detect plastic bags in cardboard bins. Sensors identified 48% average bin fullness and plastic contamination in at least 64% of bins.
Operational Efficiency
This resulted in potential savings of $6,400/month. Shifting schedule to account for bin fullness can provide a potential savings of $25,500/month.
Pello In the News
Recycle Track Systems Secures Financing to Accelerate AI Innovation and Expand Sustainable Waste Solutions Across North America
Recycle Track Systems raises $40M to drive AI waste management innovation and expand its footprint across North America.
Baltimore Ravens Name RTS Official Waste and Recycling Partner to Advance Sustainability and Innovation at M&T Bank Stadium
The Baltimore Ravens and RTS partner to enhance M&T Bank Stadium sustainability using AI-powered waste solutions.
Recycle Track Systems acquires leading Canadian waste services provider RecycleSmart Solutions, Inc.
RTS acquires RecycleSmart, expanding its waste services into Canada and adding Pello AI-powered sensor technology.
Ready to take control of your waste?
Discover how Pello and the RTS full service system can turn your waste operations into a strategic advantage.
Already have a sensor?
We support third-party app integrations.