Periodic Reporting for period 2 - REMOSIS (A novel smart trap station as an Internet of Things surveillance solution to remotely count and identify the species of disease-carrying mosquitoes)
Reporting period: 2017-02-01 to 2018-01-31
The project successfully reached its objectives, specifically:
1- The development of an advanced trap station with mosquito counting module and remote management tools. This system (BG-COUNTER) is already commercially available, with more than 200 currently sold.,
2- The developments of a further advanced system to also distinguish mosquito species of interest. Out of three sensor designs that were developed and evaluated, one, the BG-EYE is now moving on to production to meet customer orders for summer 2018.
3- An advanced WSN-Wireless Sensor Network (nodes and gateway) was prototyped.
4- With a cloud application specific for Mosquito surveillance, the devices can be managed, the data they collects can be downloaded and displayed with a maximum delay of 15 minutes.
WP 1: The project was coordinated, monitored and managed in regular emails and conference calls. Every 6 months a personal or remote meeting was organized with representatives of the consortium partners. Results and findings of the R&D process were continuously screened for relevant IP, and the commercial and scientific potential was evaluated for its economic potential, patentability or publishable scientific interest. Knowledge needs were identified and ways to gain access to needed know-how were established, enabling the industry partners to effectively exploit the results achieved in the project.
WP2: A web page of the project was created and maintained. The project and product developments were disseminated in:
- 13 scientific congresses and 25 business events
- pilots with 9 mosquito control entities
- 2 peer reviewed articles and 7 posters/oral presentations
- demos in 13 workshops
These activities led to securing accumulated pre-orders and orders of more than 200 and rising. Currently partners BIOGENTS and IRIDEON are working together to satisfy the requests of customers willing to pay for the final results of the project, with first deliveries planned for June 2018: time-to-market of REMOSIS <6 months.
WP3: TEIC produced the TRL7 optoelectronic sensor prototype for species classification, which was extensively and successfully tested in laboratory with live insects. The sensor is capable of accurately differentiating mosquitoes from other insects, as well as males and females. Accuracy levels were >90% for mosquitoes actively flying though the sensing area. After the integration into a suction trap and simulating field conditions, the classification fell to 50-55%. We identified several opportunities to raise the accuracy further by incorporating different sensor types, culminating in three improved species ID prototypes. In the second year of project, two of these versions were selected to proceed on to the trials and pilots to achieve TRL8, and industrialization in WP5: the BG-EYE (design by BIOGENTS) and the DUET (design by IRIDEON). Several units of these were manufactured to serve the worldwide pilots.
WP4: The electronics of the final REMOSIS unit designed by IRIDEON have achieved TRL9. The electronics are optimised for mass production at competitive prices, with total control on the quality, compliant with international standards and CE mark. The server application, developed by BIOGENTS, consists of two domains: one with information on the REMOSIS device, and one with a dashboard, from which traps can be controlled and monitored, and data downloaded. IRIDEON developed an interoperable, standards-based middleware called SENSCLOUD, to be incorporated into the REMOSIS cloud application to make it IoT enabled. .
WP5: The BG-COUNTER reached TRL9 during the second project half. Demonstrations were performed in several countries in Europe, America, Asia and Oceania. Field trials were conducted at several sites in Germany, USA and Australia. The market acceptance was overwhelming, leading to the placement of more orders and an increasing interest.
The species ID prototypes, BG-EYE and the DUET, were trialled and piloted with mosquito control experts and authorities in the Iberian Peninsula, Germany, USA and Asia.
The DUET managed to reach TRL7 and was close to reach TRL8, with an accuracy of >90% for free flying mosquitoes and around 65% when combined with a suction trap. Due to adverse weather conditions in the Iberian Peninsula, not enough field data could be collected to reach a consolidated TRL8.
The BG-EYE was demonstrated and piloted outside of Europe, namely in the USA and Asia. Enough field data was captured to enable this prototype reaching TRL8 with a mosquito classification accuracy above 70% when used with a suction trap. These values further increased with improving the AI and machine learning algorisms used. With the end of the project the industrialization process commenced, making this unit reach TRL9 in spring 2018, and meet orders placed to be delivered to the early adopter customers in June 2018.
- Predicted sales of €5,2 million over 5 years, with NPV of €3,2 million and ROI 1,19;
- Elimination of costs for manual inspection of traps with a solution 3 times cheaper than reference SoA;
- Improving surveillance and control of disease-carrying mosquitoes and thus reducing the burden mosquito-borne diseases, as well as making mosquito control activities more efficient and environmentally friendly.