The stack
A purpose-built Vision AI system that delivers hyper-local sorting guidance, frictionless and energy-efficient by design, using intelligent caching to reduce the AI footprint of every scan.
Architecture
POUBELLE.AI runs on Amazon Web Services (AWS), the world's leading cloud platform, ensuring bank-level security, 99.9% uptime, and the capacity to scale nationally without slowing down.
The POUBELLE.AI API connects to existing fleet management systems, operations platforms, and partner dashboards, no rip-and-replace required.
Avg. response time
from photo tap to bin answer
< 2s
Expected recognition accuracy
based on smartphone-camera Vision AI benchmarks
>92%
Local rules coverage
local rules alignment for covered areas
100%
Languages supported
English and Spanish at launch
EN / ES
Deployment method
QR: Quick Response code · NFC: Near Field Communication
using existing bins, no heavy investment and no maintenance
QR / NFC
Security standards
and SOC 2 certified
ISO 27001
Carbon Intelligence
We take our energy footprint seriously. POUBELLE.AI is built to be lean.
One POUBELLE.AI scan
0.5g
of CO₂ 1
One can recycled — not made from scratch
100g
of CO₂ saved 2
Per year, per American
31,900g
of CO₂ saved 5
One POUBELLE.AI scan
One can recycled — not made from scratch
Per year, per American
0.5g
100g
31,900g
of CO₂ 1
of CO₂ saved 2
of CO₂ saved 5
Depending on the item, one correct sort offsets its own carbon cost 100 to 200 times over.
| Item | Applied sorting | CO₂ saved | Scans offset |
|---|---|---|---|
| Plastic bottle (500ml) | Recycling | ~50g3 | ~100× |
| Apple | Composting | ~70g4 | ~140× |
| Aluminum can | Recycling | ~100g2 | ~200× |
Response Caching
Common items answered from memory, not recomputed.
Once POUBELLE.AI's Vision AI has classified an item (a yogurt cup, a pizza box, a cardboard sleeve), that answer is cached. The next person who scans the same item gets an instant response pulled from memory, not a new AI inference cycle. This is how the ~0.5g per scan figure holds even as usage scales.
Sources
1 ~0.5g CO₂ per scan — Machine Learning Impact Calculator (mlco2.github.io); lightweight model quantization and response caching keep per-scan energy minimal (mlco2.github.io).
2 Aluminum Association / Sphera, Life Cycle Assessment of North American Aluminum Cans, 2021 (aluminum.org).
3 Thunder Said Energy, CO₂ savings from PET bottle recycling, 500ml LCA, 2024 (thundersaidenergy.com).
4 EPA, "Quantifying Methane Emissions from Landfilled Food Waste," 2023 (epa.gov); Scientific Reports 2023, composting emissions study (nature.com/srep).
5 Container Recycling Institute — Key Facts. ~107 billion cans sold annually (2023); 43% recycling rate; ~319 cans consumed per American per year (107B ÷ 335M) (container-recycling.org).
Sorting Rules Engine
Waste sorting rules are hyperlocal and evolve. POUBELLE.AI maintains a continuously synchronized database of what the Material Recovery Facilities (MRF) actually accept.
| Item | Eco-Cycle (Boulder, CO) | Denver Recycles |
|---|---|---|
| Aluminum foil | ♻️ Recycle. Must be rinsed of food residue, balled ≥ 2 in. and NOT FLATTENED Eco-Cycle | ♻️ Recycle. Must be clean and balled up. No size requirement denvergov.org |
| Shredded paper | 🗑️ Trash or CHaRM. Do not put already shredded paper, or plastic bags full of shredded paper, into your recycling bin. Eco-Cycle curbside / CHaRM | ♻️ Recycle. Limit shredded paper and place in a closed paper bag labeled "shredded paper." Denver Recycles Easy Guide |
| Pizza box | 🗑️ Trash if frozen pizza. | ♻️ Recycle. Food needs to be removed. If grease soaks through both sides, please place in trash or use for home/garden composting. Denver Recycle-Compost-Trash |
| Cups (paper) | 🗑️ Trash. Single use paper cups and paper lids are not recyclable in Boulder County. Also put plastic lids in the trash. Eco-Cycle | ♻️ Recycling. Remove lid and straw. Denver Recycle-Compost-Trash |
Vision AI Layer
POUBELLE.AI's Vision AI processes a single smartphone photo against a continuously updated database of detailed local rules. The result is a precise, actionable answer, not a generic guess.
Material Recognition
Identifies plastics, glass, paper, metal, organics, and hazardous materials from a single smartphone photo.
Contamination Scoring
Generates a contamination rate for each load, identifying the specific items driving rejection risk.
Sub-2-Second Response
Optimized inference pipeline returns a structured result (bin assignment, preparation steps, and context) in under 2 seconds.
Bilingual Output
Delivers guidance in the user's preferred language between English and Spanish. No translation friction at the moment of sorting.
Diversion Detection
Audits general waste bins for misplaced recyclables and organics, flagging recovery opportunities before materials are lost to landfill.
Roadmap
The core web app experience designed for zero-friction engagement at the physical bin.
The backend engines that prove value to municipalities, partners, and haulers.
Transitioning casual scanners into recurring, brand-loyal users.
The scale phase where POUBELLE.AI becomes the ambient intelligence for circularity.