AI-powered early detection of storage pests with multisensory monitoring probes for grain and stored-product warehouses
IMOSP
BerlinNew on Amplifa
Our Idea
IMOSP (Intelligent Monitoring Of Storage Pests) is developing an AI-powered early detection system for storage pests in stored goods. Compact monitoring probes continuously capture measurement data using a camera with IR illumination, a MEMS microphone, and temperature and humidity sensors, and transmit it via WLAN/LAN with local buffer storage to an evaluation platform. There, CNN and LSTM models analyze the data in real time; in the event of conspicuous infestation patterns, customers are notified automatically and the expert team recommends a scientifically based control strategy. The offering is aimed at grain warehouses, seed companies, silo operators, storage halls, as well as exporters and importers of dried fruits, tea, and spices. A functional prototype based on Raspberry Pi was tested in the laboratory, among others, with Sitophilus granarius and Tribolium confusum; LOIs have been received, among others, from biological consulting and for pilot interest from abroad. The project is funded by the European Social Fund+ and the State of Berlin.
- Site
- Berlin
- Processes
- AI-powered early detection of storage pests (multi-sensor technology: camera with IR illumination,, Platform-based real-time evaluation with CNN and LSTM models, Automatic notification in the event of infestation patterns, Scientifically based control and consulting strategies (case consulting), Hardware: compact monitoring probes (Raspberry Pi-based prototype) as well as service subscription
- Certificates
- ISO 9001
- Industries
- Grain warehouses, Seed companies, Silo operators, Storage halls, Exporters/importers of dried fruits, tea, and spices, Stored-product protection
- 01
Assembly of the monitoring probes (camera, MEMS microphone, temperature and
- 02
Continuous data acquisition in the warehouse
- 03
Data transmission to the evaluation platform
- 04
AI-powered real-time evaluation (CNN/LSTM)
- 05
Automatic notification in the event of infestation patterns
- 06
Scientifically based control and consulting strategy
Locations
Berlin
DEDevelopment and company headquarters (funded by ESF+ and the State of Berlin)
- Raspberry Pi-based prototype
- IMX219 camera
- MEMS microphone
Industries
2 Anlagen & Maschinen
| Machine | Manufacturer / model | Quantity | Working area | Year built | Site |
|---|---|---|---|---|---|
| Prototype system / embedded platform | Raspberry Pi Raspberry Pi 4 | – | – | – | – |
| Camera module | IMX219 camera | – | – | – | – |
Additional services
Quality
Laboratory tests of the prototype were carried out with the storage pests Sitophilus granarius and Tribolium confusum; target accuracy of the AI development according to the roadmap is over 90%.
| Evidence | Berlin |
|---|---|
| ISO 9001 |
Roadmap
Functional prototype based on Raspberry Pi 4, IMX219 camera, MEMS microphone, and IR illumination; laboratory tests with Sitophilus granarius and Tribolium confusum; LOIs including from biological consulting and pilot interest from abroad
- 2026
Planned market entry in the DACH region, followed by scaling in Europe and international pilot markets