ENVIRONMENTAL INTELLIGENCE / 001

Waste doesn't disappear. Make its impact visible.

GreenLoop AI connects waste reporting, intelligent classification, verified collection, and environmental analytics in one accountable workflow.

From the first report to verified resolution.
Live Operational Stream
ZONE A • DTU DELHISIMULATED DEMO
!
SAC Courtyard
Tote EV-4
Recovery Depot
Active Incident INC-2026-081
Trace Incident Lifecycle
Incident photo evidence
01. Reported by StudentReported

18.5kg plastic beverage containers reported at North Courtyard.

Actor: Aria Chen (Community)

Diversion

74.2%

Avg Response

4.8h

Verified Net

2,840 kg

AI-Assisted Classification

Computer vision identifies polymer & fiber streams.

Location-Aware Reporting

High-precision spatial geotags across campus zones.

Verified Collection

Photographic before & after evidence audit trail.

Measurable Outcomes

Transparent recycling rates & landfill diversion.

SYSTEMIC FRICTION / 002

The problem isn't just waste. It's what happens after it.

When a resident or student spots an overflowing bin or hazardous electronic scrap, reporting is fragmented across informal emails, broken ticket portals, or overlooked chat threads.

Without automated material identification and verifiable spatial evidence, collection teams arrive with mismatched equipment, recyclable polymers are cross-contaminated into landfill bins, and institutional sustainability reports end up relying on unverified estimates.

The Accountability Gap:

Traditional facilities software stops at the ticket. GreenLoop verifies the physical resolution and audits the downstream material stream.

PROBLEM 01

Invisible Incidents

Legacy Ticket Flow

Reports lack spatial coordinates, accurate imagery, and urgency tiers. Incidents sit in generic facilities inboxes for days without triage.

Subject: "Litter near hall"48h Unassigned
No GPS geotag•Unclassified material•Zero dispatch routing
PROBLEM 02

Uncoordinated Collection

Field Friction

Custodial teams arrive without knowledge of volume or material danger, causing hazardous electronics or heavy metals to be routed to landfill compactors.

Without Material AI

Single general cart dispatched. 32kg lithium e-waste improperly compacted.

With GreenLoop

Vision AI detects ESD threat. Hazardous crate & specialist dispatched automatically.

PROBLEM 03

Unverified Environmental Claims

Audit Breakdown

Organizations claim high recycling percentages without immutable audit logs. Without photographic before-and-after proof, reporting is vulnerable to greenwashing scrutiny.

Cryptographic Geotag & Time-Lock:
AUDIT COMPLIANT
CORE CAPABILITIES / 003

One loop. Five connected actions.

A cohesive architecture connecting community reporting to audited institutional recycling outcomes.

ACTION 01 • CHARACTERIZE

AI Waste Classification

Leveraging server-side Gemini multi-modal vision models to inspect visual textures, distinguish recyclable polymers from municipal landfill streams, and flag hazardous items.

Test an example image in real time:

Gemini Vision Inference
SERVER-VALIDATED
Detected CategoryPlastic
Certainty AdvisoryHigh Confidence
Material Characterization

Detected HDPE and clear PET polymer containers. High purity recovery rating.

Campus Facilities Guidance

Direct to Campus Baler Stream #4. Segregate non-polymer caps.

ACTION 02 • GEOLOCATE

Live Incident Mapping

Interactive spatial map of campus sectors with real-time status indicators. Color-coded markers distinguish reported, in-progress, and verified collection sites.

DTU Delhi Campus • 6 Zones Monitored
ACTION 03 • DISPATCH

Collection Coordination

Route tasks to dedicated personnel with priority weighting, equipment checklists, and time-to-collection SLAs.

Task TSK-101: Life Sciences Dock

Assigned: Marcus Vance • Due 14:00

Critical

Task TSK-102: Student Union Patio

Assigned: Marcus Vance • Organics

High
ACTION 04 • PROVE

Verification & Accountability

Every resolution mandates post-collection photographic evidence. Administrators review the audit trail before closing the incident loop.

1. Reported StateBefore cleanup• Overflow Confirmed
2. Verified Clean StateAfter cleanup• Audited & Closed
ACTION 05 • MEASURE

Environmental Impact Analytics

Transparent metrics computed directly from verified incident closures: gross tonnage, segregation fidelity, recycling rate, and landfill diversion.

Diversion Rate

74.2%

Campus benchmark

Waste Diverted

2,108 kg

From regional landfill

Audit Index

100%

Verified with photo

SPATIAL TELEMETRY / 004

Know where action is needed.

Real-time operational map aggregating public waste incident reports across campus quadrangles, lab docks, and dining facilities.

Loading campus spatial telemetry...
Incident InspectionINC-2026-081
Discarded Polyethylene & Single-Use Bottles
Plastic
Verified ✓

Discarded Polyethylene & Single-Use Bottles

Student Activity Centre (SAC) Courtyard

Significant buildup of beverage bottles and single-use plastic containers near the Student Activity Centre (SAC) Open Air Theatre following the weekend tech symposium.

AI Disposal Prescription:

Route to Blue Baling Station #4. Decontaminate caps and labels in optical sorter.

PriorityMedium
Est. Weight18.5 kg
View Full Audit Record & History
THE FIVE-STAGE WORKFLOW / 005

From one report to a verified outcome.

Explore each stage of the closed loop. Click any phase to inspect the data transition and accountability safeguards.

PHASE 01Zero-Friction Geotagged Capture

REPORT

A student, resident, or staff member snaps a photo. GPS coordinates, timestamp, and optional notes are captured automatically with no mandatory app download.

Benchmark: < 15 seconds to submit
Operational Payload Snapshot
Live Data Action:

Camera upload & 28.7485° N, 77.1168° E geotag

Accountability Rule:

All status transitions require signed actor ID and timestamped event record.

ECOLOGICAL ACCOUNTING / 006

Make environmental progress measurable.

Real numbers derived from verified incidents. Every kilogram logged on GreenLoop maps to a physical geotag and photographic proof.

Dataset: DTU Delhi Campus 2026 (Demo)Explore Analytics
Aggregated Stream
213kg

Total Waste Collected

Gross weight of all segregated materials recovered across campus collection operations.

Target: 75.0%
83.5%diversion

Campus Recycling Rate

Ratio of diverted recyclables (Plastics, Paper, Organics, Metals) vs total collected stream.

-62% vs legacy tickets
4.8hmean elapsed

Avg. Resolution Time

Time elapsed from public report submission to physical staff collection & before-photo verification.

EPA WARM Model
163kg diverted

Landfill Diversion

Net weight diverted from regional landfill through MRF recovery and campus anaerobic composting.

Empirical Verification Model

Unlike traditional sustainability dashboards that estimate diversion from static annual waste hauling bills, GreenLoop aggregates bottom-up verification for each distinct incident.

Estimated CO₂e Abated

~3,820 kg

EPA WARM diversion factor

Verified Audit Rate

100.0%

Photographic geotag

PRODUCT INTERFACE / 007

Built for campus operations.

Inspect the real desktop interface used by sustainability officers, facility managers, and collection dispatchers.

greenloop-ai.internal / app / overview
ROLE: FACILITY_ADMINISTRATOR
Total Incidents

6

Open / Triage

4

Verified Net

1

Recycling Rate

83.5%

Recent Priority IncidentsReal-time stream
PlasticDiscarded Polyethylene & Single-Use Bottles
Student Activity Centre Verified ✓
E-WasteDecommissioned Laboratory PC & Battery Pack
Mechanical Engineering Workshop Annex In Progress
OrganicFood Packaging & Organic Food Scrap Spillage
Hostel Mess & Canteen Plaza Assigned
DATA GOVERNANCE / 008

Environmental data should be accountable.

Clean sustainability metrics must withstand institutional scrutiny. GreenLoop embeds verifiable evidence into every record.

Traceable Lifecycles

No incident vanishes without an immutable audit record of its initial state, assignment, and closure.

Empirical Verification

Resolution requires physical before-and-after photographic evidence and weigh-in telemetry.

AI Advises, Humans Decide

Vision models propose characterizations and safety notices, but trained staff make the final disposition.

Role-Based Governance

Strict server-side permissions distinguish community reporters, custodial field staff, and facility directors.

Sample Incident Audit Trail (INC-2026-081)

CRYPTOGRAPHICALLY ANCHORED

Each entry records exact UTC timestamp, actor identity, verified cryptographic hash, and physical telemetry:

REPORT_SUBMITTEDGPS 28.7485° N, 77.1168° E, photo hash sha256:7f4c...
Aria Chen (Community) • 10-08 09:15
AI_CLASSIFIEDSuggested Plastic (PET/HDPE). Guidance Baler #4.
Gemini Vision Engine • 10-08 09:15
STAFF_ASSIGNEDDispatched to Marcus Vance. Medium priority.
Dr. Elena Rostova (Admin) • 10-08 10:30
EVIDENCE_UPLOADEDPost-cleanup site photo + 18.5kg weigh scale slip.
Marcus Vance (Staff) • 10-08 14:30
CLEANUP_VERIFIEDAudit approved. Credited to Campus Diversion Index.
Dr. Elena Rostova (Admin) • 10-08 15:45
Verified against campus master ledger.Zero Unverified Claims &check;
A CONTINUOUS CYCLE OF ACTION

Close the loop. Leave less behind.

Start with one reported incident. Build a clearer picture of institutional environmental progress across your campus or community.

Open Demo Mode • Fully Interactive • Zero Registration Barrier for Evaluation