Summary
Cut through the green tape
We don’t push agendas. At Net Zero Compare, we cut through the hype and fear to deliver the straightforward facts you need for making informed decisions on green products and services. Whether motivated by compliance, customer demands, or a real passion for the environment, you’re welcome here. We provide reliable information—why you seek it is not our concern.
Details
Deep dive
Software overview
"Discover just how efficient is your waste collection today"
Source: sensoneo.com
Sensoneo Smart Analytics is an advanced solution within Sensoneo’s broader smart waste management platform. It uses data from IoT-powered sensors installed in waste bins to analyze and optimize waste collection, offering a real-time overview that helps cities, waste collection services, and companies improve their efficiency, reduce costs, and meet sustainability goals. The system supports diverse needs, from municipal and factory waste management to deposit return schemes (DRS), creating a versatile tool for different types of waste generators and managers.
Key Features
Data Collection and Analysis: Sensoneo’s ultrasonic sensors measure fill levels, temperature, and even detect motion in bins. This data is sent to a cloud-based platform, enabling dynamic route planning, real-time monitoring, and analysis of collection accuracy and service efficiency.
Predictive Analytics: Using historical data, Sensoneo forecasts future waste generation trends and predicts bin fill patterns, allowing for proactive planning to prevent overflows and optimize collection schedules.
Environmental Impact Metrics: The platform measures key environmental metrics, including CO₂ emissions and fuel consumption, helping users monitor their sustainability goals and adjust operations to reduce carbon footprints.
Waste Access Control: To ensure only authorized users access specific bins, Sensoneo offers remote access management tools, which are especially useful in residential complexes and other restricted areas.
Customizable Reporting: Sensoneo provides reports that give detailed insights into waste management efficiency. These reports can be customized to meet specific client needs, supporting strategic decision-making.
Benefits
Cost Reduction: By optimizing routes and collection schedules, Smart Analytics helps reduce fuel consumption, labour costs, and vehicle wear and tear.
Improved Service Quality: Provides actionable insights that help enhance waste collection reliability and responsiveness.
Sustainability: By minimizing unnecessary collections and reducing emissions, Smart Analytics supports more sustainable waste management practices.
Enhanced Decision-Making: Empowers waste managers with data and analytics, turning complex data sets into easy-to-understand insights for strategic planning.
Sensoneo Smart Analytics is a powerful tool that helps transform waste management into a more efficient, sustainable, and data-driven process, supporting the broader goal of smarter cities and greener communities.
Technology
Sensoneo uses advanced technology, primarily IoT (Internet of Things), smart sensors, and data analytics, to optimize waste management. Their sensors, installed in bins, use ultrasonic technology to measure fill levels and send data in real time to a cloud-based platform. The platform uses this data to generate insights and optimize collection routes, schedules, and frequencies.
Unlike traditional waste management solutions, Sensoneo’s ultrasonic sensors are highly durable and provide precise data on waste fill levels, temperature, and movement. Sensoneo’s integration capabilities with other city systems and their focus on sustainability further differentiate them from others in the market.
Case study: Prague, Chech Republic
The City of Prague implemented Sensoneo's smart waste management system as part of the Smart Prague 2030 plan. Starting in 2018, the project installed sensors in underground waste bins to monitor fill levels, optimize waste collection routes and improve efficiency. By 2024, over 3000 sensors were deployed, integrating data into Prague’s official platform for predictive analytics. The project reduced waste collection frequency and costs while enhancing environmental sustainability.