Automated detection and analysis of contaminants in waste streams in real time
Real-time monitoring of material flow at gates, conveyor belts, hoppers, or chutes
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Our AI-powered foreign object detection system enables real-time monitoring of material flows—flexibly deployable at intake gates, conveyor belts, in hoppers, and at chutes (clog detection). Unsuitable or problematic components in the waste stream, such as bulky or disruptive materials, are automatically detected in real time.
The system displays anomalies directly on the dashboard and helps plant personnel intervene early, prevent blockages, and ensure efficient plant operation.
Examples of detected contaminants
Tore
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Bunker
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Conveyor belt
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Funnel
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Early warning of a fire
Our AI-powered early fire warning system continuously monitors temperature trends and material conditions during delivery and plant operations. Using thermal cameras, critical anomalies are detected in real time, visually displayed, and immediately flagged if thresholds are exceeded.
All events are automatically documented and systematically analyzed. This enables early detection of fire risks, tracking of deliveries, and targeted assessment of anomalies—for greater safety and transparency in operations.
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Any anomalies detected are automatically logged and documented along with relevant information such as the time period, severity, and characteristics. Filter and search functions allow events to be quickly narrowed down and analyzed. This makes it easier to identify the causes, enhances operational reliability, and simplifies the tracking of contaminants in day-to-day operations.
Assigning deliveries to suppliers
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The system enables each delivery to be uniquely linked to its producer, either via the farm ticket scanner or automatic license plate recognition. All deliveries, along with material quality assessments and weighing notes, are centrally documented, allowing operators to access detailed statistics and trends regarding producer behavior over time.
This traceability provides transparent documentation for quality assurance or evidentiary purposes, facilitates the enforcement of claims against suppliers, and saves time and costs in the process. At the same time, it delivers valuable data for evaluating producer performance and efficiently managing the supplier portfolio.
Matching Deliveries to Suppliers
Each delivery is uniquely assigned to its producer, either via a farm ticket scanner or automatic license plate recognition, ensuring full transparency regarding the origin of the produce.
Traceability of Anomalies
All deviations or anomalies are documented, stored centrally, and can be traced at any time to quickly identify the causes.
Foundation for Quality Assurance & Communication
The collected data serves as the foundation for quality assurance measures, facilitates communication with suppliers, and supports decisions regarding process optimization.
Delivery reports for record-keeping purposes
Delivery reports for record-keeping purposes can be generated and downloaded directly from the dashboard for each individual delivery. These reports provide a transparent data foundation and can also be used for internal documentation or for record-keeping and recourse purposes as needed.
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The system automatically analyzes and classifies the composition of waste streams in real time. In doing so, it records and evaluates key material properties such as dustiness, lumpiness, particle size, and other characteristic features.
Based on this data, a detailed understanding of the waste quality and structure is established. Anomalies and changes in the material are detected early on, enabling targeted control of downstream processes. In this way, the continuous evaluation of waste characteristics helps to increase process stability and sustainably improve the plant’s efficiency.
▪ Our Cutomers
Schedule a one-on-one consultation to learn how our AI solution analyzes your waste streams, identifies risks early on, and optimizes your plant operations.
▪ Our Cutomers
We develop AI-based solutions for analyzing and evaluating unstructured waste streams. Our goal is to create transparency, optimize processes, and transform waste into a valuable resource.
The research project “Differentiation of Biogenic and Fossil CO2” and the collaborative project “Optimized Control of Waste-to-Energy Plants” are funded by the BAB and the Senator for Economic Affairs, Ports, and Transformation.
