Internet of Things
Smart Waste Management Solutions
Collect waste when containers are actually full, not on a fixed calendar, using fill-level sensors, dynamic routing and analytics built for municipalities and waste operators.
Collect Smarter, Not More Often
Traditional waste collection follows fixed routes and schedules. Trucks stop at half-empty containers while others overflow before the next visit, wasting fuel, driver hours and vehicle wear and generating complaints. Smart waste management adds wireless fill-level sensors to containers, typically ultrasonic, radar or optical devices communicating over LoRaWAN, NB-IoT or LTE-M, so operators know how full every container is and can plan collections around real demand.
Hanoi Technology builds smart waste solutions end to end: sensor and network selection, a platform that ingests and cleans fill-level data, route optimization that turns it into daily collection plans, driver apps and dashboards for planners and city officials. We integrate with fleet telematics and billing systems so the solution fits your existing operations.
The Challenge
Challenges in Waste Collection Operations
Issues that fixed-schedule collection cannot solve.
Wasted Trips to Half-Empty Containers
Fixed routes send trucks to containers that do not need emptying. Fuel, labor and maintenance are spent without collecting much waste. The waste is multiplied across every route and every day of the year.
Overflowing Bins and Complaints
Busy locations fill faster than the schedule anticipates, especially around events, holidays and tourist seasons. Overflow creates litter, pests and public dissatisfaction. Crews are then dispatched reactively, disrupting planned routes.
Little Data for Planning
Without measurements, decisions about container placement, sizes and service frequency rely on experience and complaints rather than evidence. Tender and contract negotiations also lack evidence about real service needs.
Pressure on Costs and Emissions
Rising fuel and labor costs, driver shortages and emissions targets push operators to do more with the same fleet. Collecting the same waste with fewer kilometers is one of the most direct levers available.
Business Value
Benefits of Sensor-Driven Collection
Fewer Unnecessary Collections
Routes include only containers that are close to full or predicted to fill soon. Trucks spend their time collecting waste rather than driving past empty bins.
Fewer Overflow Incidents
Alerts and fill-rate predictions catch fast-filling containers before they overflow, improving cleanliness and reducing complaints.
Lower Fuel Use and Emissions
Shorter, better-planned routes reduce distance driven, which lowers fuel consumption, vehicle wear and associated emissions.
Evidence-Based Service Planning
Historical fill data shows where to add, remove or resize containers and how often each area really needs service.
Better Recycling Insight
Separate monitoring of glass, paper, plastic and textile containers shows usage patterns and supports recycling targets.
Transparent Reporting
Dashboards give city officials and contract managers clear metrics on service levels, collections and fleet performance.
Sensors Are Only Half the Solution
Knowing fill levels is useful; acting on them is what saves money. The real gains come when sensor data feeds route planning, driver workflows and service contracts. We design the whole chain, from container to cab, so planners and drivers use the data every day.
Our Services
Hanoi Technology’s End-to-End Smart Waste Management Services
Components of a complete smart waste solution.
Sensor and Network Selection
We help choose fill-level sensors suited to each container type, from underground and semi-underground units to wheelie bins and recycling banks, and the network that fits your coverage. We consider mounting options, lid types, waste types and vandalism risk for each container category.
- Container and sensor matrix
- Network coverage assessment
- Pilot hardware shortlist
Waste Monitoring Platform
We build a platform that ingests sensor data, filters false readings caused by irregular waste, tracks battery and device health and stores fill history. Data is available through APIs for other city or company systems.
- Data ingestion and cleaning
- Device health monitoring
- Fill-level history and API
Fill Prediction and Route Optimization
We forecast when each container will reach its threshold and generate optimized routes considering vehicle capacity, shifts, depots, disposal sites and traffic constraints. Planners can override suggestions and lock fixed stops where contracts require them.
- Fill-rate prediction models
- Daily route optimization
- What-if scenario planning
Driver and Field Apps
Mobile apps guide drivers through dynamic routes, record collections, capture photos of issues and report damaged or blocked containers. Apps work offline in areas with weak coverage and sync when connectivity returns.
- Driver navigation app
- Collection confirmation
- Issue reporting
Dashboards and Reporting
Planners and managers see live fill levels on a map, service level indicators, route performance and long-term trends. Reports can be scheduled and shared with clients or council stakeholders automatically.
- Live map dashboard
- Operational KPIs
- Contract and sustainability reports
System Integration
We integrate with fleet telematics, ERP and billing, citizen service portals and weighing systems to keep processes connected. Integrations reuse existing interfaces wherever possible to limit change for operational teams.
- Telematics integration
- Billing and ERP interfaces
- Citizen request integration
Our Approach
How We Deploy Smart Waste Solutions
A phased approach that proves savings before full rollout.
- 01
Baseline Current Operations
We analyze existing routes, collection frequencies, container inventory and complaint data to establish a baseline for comparison.
Deliverables: Operations baseline · Pilot area selection
- 02
Pilot Sensors and Platform
We install sensors on a representative mix of containers, validate accuracy and connectivity, and launch dashboards.
Deliverables: Pilot installation · Sensor accuracy report
- 03
Introduce Dynamic Routing
After enough history is collected, we introduce predicted fill levels and optimized routes in the pilot area and compare against the baseline.
Deliverables: Route optimization in pilot · Savings comparison
- 04
Scale Across the Network
We roll out sensors and routing to further districts or contracts, train planners and drivers and integrate remaining systems.
Deliverables: Rollout plan · Training and integrations
- 05
Operate and Improve
We monitor devices and models, tune thresholds and routes, and review container placement using accumulated data.
Deliverables: Operations support · Quarterly optimization reviews
Use Cases
Smart Waste Use Cases
Scenarios where fill-level data delivers value.
Municipal Street Litter Bins
Sensors on public bins in parks and busy streets show which need emptying today. Crews prioritize high-traffic areas and skip quiet ones.
Underground Container Networks
Large underground containers in residential areas report fill levels. Crane trucks are scheduled only when containers approach capacity.
Recycling Bank Collection
Glass, paper and textile banks are emptied based on actual fill. Collection contracts are planned around measured volumes.
Commercial and Industrial Waste
Compactors and skips at business sites signal when pickup is needed. Haulers offer on-demand service and avoid emergency calls.
Campus and Venue Waste
Universities, airports and stadiums monitor bins across large sites. Cleaning staff are directed where they are needed during peak events.
Container Placement Optimization
A year of fill data reveals oversized and undersized containers. Operators resize or relocate them to balance service and cost.
Technology
Technologies for Smart Waste
Sensing, connectivity and software components we work with.
- Ultrasonic Fill-Level Sensors
- Radar Fill-Level Sensors
- LoRaWAN
- NB-IoT
- LTE-M
- The Things Stack
- AWS IoT Core
- Azure IoT Hub
- PostgreSQL with PostGIS
- TimescaleDB
- Google OR-Tools
- OpenStreetMap
- Mapbox
- Power BI
- React Native
- Python
Platforms
Deliver Smart Waste Management on Your Preferred Platform
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Logistics
Route optimization and fleet visibility for a regional logistics company
A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.
Read the Full StoryMore Success Stories
Food delivery
+58%total ordersAI dispatch and live tracking for a food delivery startup
A fast-growing urban food delivery startup was losing customers to slow deliveries at peak times. We built AI order dispatching and connected restaurants, drivers and customers in real time.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Make Every Collection Count
Tell us about your container network, fleet and service area. We will reply within 24 hours and arrange a free consultation to scope a pilot and the savings it should prove.
Smart Waste Management FAQ
How do fill-level sensors work?
Most sensors mount inside the lid or top of a container and measure the distance to the waste surface using ultrasonic, radar or optical time-of-flight technology. They wake periodically, take readings, and send fill level, temperature and battery status over low-power networks such as LoRaWAN or NB-IoT. Some also detect tilt to confirm emptying or fire-related temperature spikes.
How long do the sensor batteries last?
Battery life depends on the device, measurement interval, transmission frequency and network conditions. Low-power sensors are designed to last for several years on one battery at typical reporting rates, and some manufacturers quote even longer lifetimes. We configure reporting intervals to balance data freshness and battery life, and the platform tracks battery levels so replacements can be planned.
Do we need to put sensors on every container?
Not always. Sensors deliver the most value on containers with variable or unpredictable fill rates, high service costs or overflow risk. For predictable containers, historical data from sensed peers can be used to estimate fill. We analyze your network to decide where sensors pay back and where scheduled collection is still efficient.
How does route optimization use the sensor data?
The system predicts when each container will reach a chosen threshold, then builds routes that include containers due for collection within the planning window. It considers vehicle capacity, shift times, depots, disposal or recycling sites and access constraints. Planners can review, adjust and approve routes, which are then sent to driver apps.
Can the solution integrate with our existing fleet systems?
Yes. We integrate with vehicle telematics to compare planned and actual routes, with ERP and billing systems for commercial customers, and with citizen service platforms for complaints and requests. Where systems offer APIs we connect directly; otherwise we use file-based or database integrations. The goal is that planners work in one place.
What does a pilot involve and how long does it take?
A typical pilot covers a representative district or customer segment with a mix of container types. It includes sensor installation, platform and dashboard setup, a period of data collection to learn fill patterns and then optimized routing compared against the baseline. Pilots usually run for several months so that weekly and seasonal patterns are visible in the results.
Can the system detect fires or misuse of containers?
Many fill-level sensors include temperature measurement and tilt or motion detection. A sudden rise in temperature can indicate a fire inside a container, and the platform can send an immediate alert to operators or emergency contacts. Tilt and motion events show when containers are emptied, moved or knocked over. These events also help verify that scheduled collections actually took place and support service level reporting to clients.