Haultro Smart Bin Monitoring is an IoT-powered waste bin fill-level tracking and intelligence system in active development by Viceroy NM. The Haultro platform infrastructure is fully built with the API endpoint, anomaly detection engine, AI fill predictions, and Vision AI all ready. IoT hardware sensor integration enters beta in the second half of 2026, with hardware partnerships actively in development. The platform is engineered for high-throughput fleet-scale telemetry through a dedicated API endpoint that captures fill percentage, temperature, tilt angle, battery level, GPS coordinates, and device health on every reading. The system runs 4-category anomaly detection simultaneously on every reading: Fill Spike detection for sudden abnormal fill increases that could indicate illegal dumping, Post-Service Fill detection for incomplete pickups (greater than 30 percent fill within 4 hours of service), Sensor Drift detection for calibration drift (3x deviation from rolling historical average), and Silent Device detection for connectivity or battery failures (no readings for 1 plus hour). AI fill predictions use statistical and machine learning models to forecast bin capacity 24, 48, and 72 hours ahead with confidence scoring. Vision AI powered by Claude Vision will analyze bin photos for fill percentage validation, waste type identification (construction debris, household, recyclables, organic), contamination detection, and physical condition assessment. Built by Viceroy NM for waste hauling companies, junk removal operators, recycling fleets, and municipal waste departments. Join the waitlist at haultro.com/contact for early access when IoT hardware integrations launch.

Coming Soon

IoT hardware integrations enter beta in the second half of 2026. The platform is built. Hardware partnerships are in active development.

Join the waitlist →
Smart Bin Monitoring · Beta H2 2026

Every bin becomes a connected asset.

Real-time fill telemetry. Four-category anomaly detection. AI fill predictions 72 hours ahead. The Haultro platform is built and ready. Hardware partnerships are launching in the second half of 2026.

The platform is fully equipped for IoT sensor integration today. We are finalizing partnerships with hardware manufacturers to deliver plug-and-play sensors to our customers.

Real-time
Telemetry pipeline
4
Anomaly categories
72 hr
AI prediction horizon
24/7
Monitoring architecture
Hardware Architecture

Built for the sensor era of waste.

Each connected bin transmits fill percentage, temperature, tilt, GPS, battery, and signal strength on every reading. The Haultro telemetry pipeline ingests these signals at fleet scale and routes them through anomaly detection, predictive models, and the operations dashboard in real time.

Our platform is engineered for high-throughput, production-grade IoT. Hardware partnerships are entering beta in H2 2026.

Telemetry
Fill, temp, tilt, GPS
Pipeline
High-throughput API
Latency
Real-time WebSocket
Connectivity
LoRaWAN, NB-IoT, 4G
Battery
Multi-year design life
Validation
Vision AI cross-check
IoT SENSOR Fill, temp, tilt, GPS FILL LEVEL Real-time tracking UPLINK LoRa / NB-IoT / 4G BATTERY Multi-year design
Live Operations Preview

From sensor to decision in seconds.

Every reading streams into the Haultro dashboard through a real-time WebSocket pipeline. Operators see fill levels, anomaly flags, and routing changes the moment they happen.

Live Bin Feed
Real-time stream
BIN-2841
35%
Healthy
BIN-1907
70%
Service soon
BIN-3402
90%
Dispatch now
BIN-0658
48%
Healthy
BIN-5113
80%
Service soon
Anomaly Detection Engine

Four eyes on every reading. Always.

Every sensor reading triggers four simultaneous anomaly checks. The engine catches problems in seconds, not days. Built and ready for sensors to come online.

Haultro AI predictive analytics system designed to forecast waste bin fill levels 72 hours ahead
AI Fill Predictions

Predict when bins will be full. 72 hours ahead.

Statistical and machine learning models analyze fill patterns across your entire operation. The system identifies linear, accelerating, and decelerating trends and forecasts with confidence scores so operators can always prioritize the most urgent pickups.

24, 48, and 72-hour forecasts
Multi-horizon predictions for daily scheduling, weekly planning, and long-term capacity management
Confidence scoring on every forecast
Each prediction includes a confidence score. Prioritize high-certainty bins, flag uncertain ones for review
Pattern detection across the fleet
Linear, accelerating, and decelerating trends. Day-of-week analysis for recurring schedule optimization
80% sweet-spot scheduling
AI triggers service at optimal 80% fill, maximizing truck capacity while preventing overflow
Haultro Vision AI designed to analyze waste bin photos for fill percentage, waste type, and contamination
Vision AIComing Soon

See what sensors cannot tell you.

Sensors measure fill level. Vision AI sees everything else. Photos uploaded to bins are analyzed by Claude Vision for fill percentage validation, waste type identification, contamination detection, and physical condition assessment. Launching alongside IoT hardware integrations.

Fill percentage validation
Visual cross-reference for IoT sensor readings. Catch sensor errors before they cause missed pickups
Waste type identification
Classify visible waste: construction debris, household, recyclables, organic, for routing and tracking
Contamination detection
Identify prohibited materials in recycling streams. Protect stream purity and avoid contamination fines
Condition assessment
Evaluate physical bin condition: damage, wear, graffiti, maintenance needs flagged automatically
Real-time
Telemetry pipeline
Engine ready
4
Anomaly categories
Built today
72hr
AI prediction horizon
Models trained
24/7
Monitoring architecture
Live now
The Roadmap

From platform built today to sensors live in your fleet.

The intelligence layer is shipped and operational. Hardware is the next frontier. Here is exactly where we are and where we are going.

Today · Live
Platform infrastructure shipped
High-throughput API endpoint, anomaly detection engine, AI fill prediction models, Vision AI integration, real-time WebSocket pipeline, and operations dashboard are all built and operational.
Operational
Q1 to Q2 2026 · In Progress
Hardware partnerships finalized
Sensor manufacturer partnerships under negotiation. Selecting devices that meet Haultro's reliability, battery life, and connectivity requirements across LoRaWAN, NB-IoT, and 4G.
Active
Q3 2026 · Beta Launch
IoT beta with select customers
Hardware integration enters beta with waitlist members. Closed pilot deployments validate sensor reliability, anomaly detection accuracy, and prediction confidence at fleet scale.
Beta H2 2026
Q1 2027 · General Availability
Sensors available to all customers
Plug-and-play smart bin sensors available to every Haultro customer through partner hardware. Full Vision AI photo analysis launches alongside hardware GA.
Target
Frequently Asked

Honest answers about what is built today.

Everything operators ask when evaluating smart bin monitoring with Haultro.

Is Haultro's smart bin monitoring available now?
The Haultro platform is fully built with all IoT monitoring infrastructure. The API endpoint, anomaly detection engine, AI fill predictions, and Vision AI are all ready. IoT hardware sensor partnerships are currently being finalized, with beta access planned for the second half of 2026. Join the waitlist at haultro.com/contact to be notified when hardware integrations launch.
What types of anomalies will Haultro detect in waste bins?
Haultro's anomaly detection engine catches 4 categories simultaneously on every sensor reading: Fill Spikes (sudden abnormal fill increases that could indicate illegal dumping), Post-Service Fill (greater than 30% fill within 4 hours of confirmed service), Sensor Drift (3x deviation from rolling historical average indicating calibration issues), and Silent Device (no readings received for 1 plus hour indicating connectivity or battery failure).
How far ahead will Haultro predict bin fill levels?
Haultro's AI fill prediction system forecasts bin capacity 24, 48, and 72 hours ahead with confidence scoring, using statistical and machine learning models trained on each bin's historical fill patterns. The system identifies linear, accelerating, and decelerating fill trends and triggers smart scheduling at the 80% optimal fill sweet spot.
What is Vision AI bin analysis?
Haultro's Vision AI uses Claude Vision to analyze bin photos for fill percentage validation, waste type identification (construction debris, household, recyclables, organic), contamination detection in recycling streams, and physical condition assessment for maintenance flagging. This feature launches alongside IoT hardware integrations in the second half of 2026.
What sensor connectivity options will Haultro support?
Haultro is designed to integrate with the major waste-industry IoT connectivity standards including LoRaWAN, NB-IoT, and 4G LTE-M. The platform's high-throughput API endpoint accepts standardized telemetry formats, and our hardware partner selection prioritizes multi-year battery life and reliable performance in real-world bin deployments.
When can I start using Haultro for my waste operation?
The Haultro operations platform is available today for fleet management, route optimization, financial analytics, SLA compliance, and AI-powered customer intelligence. IoT smart bin monitoring specifically launches in beta in the second half of 2026 and reaches general availability in early 2027. Join the waitlist for early sensor access, or book a demo to see the operations platform live now.
Hardware Integrations Launching

Be first when sensors come online.

The platform is ready. We are finalizing sensor hardware partnerships now. Join the waitlist and we will notify you the moment IoT integrations go live, with early access guaranteed for waitlist members.