The SYSTEM project will design and demonstrate a data fusion system for the continuous monitoring of threats associated to the manufacturing of explosives and to the production and handling of synthetic drugs. Data fused from different mature sensor networks will provide Law Enforcement Agencies with enriched information to assess the potential occurrence of a criminal activity (e.g. to localize the production of improvised explosive devices and/or clandestine synthetic drugs laboratories) in an identified area. Forerunners and basis of SYSTEM are two H2020 IA projects, NOSY and microMole, funded under the call FCT-05-2014. SYSTEM devices will support the detection of home-made explosives and synthetic drugs manufacturing by detecting intermediates and impurities of the production process and precursors used for their synthesis, identifying abnormal use of chemicals transported/provided within the covered urban areas. Additionally, the prevalence of new psychoactive substances including metabolites in the sew

Organized crime investigation can greatly benefit from the availability of very small, concealable sensing devices to monitor, record and communicate criminal activity to remote surveillance stations. Acquired data can be used as proof in Courts of Justice only if the sensing device, the communication channel and the monitoring station are tamper proof and comply with all legal, integrity and chain-of-custody requirements. The NOSY project is focused on the development of a miniaturized yet highly sensitive platform, for the detection of illicit or suspicious substances. The platform includes the development of a miniature sensing device, a monitoring station and communication infrastructure for LEA network integration. The enabling technology of the system is an innovative microelectronics sensor that combines state of the art micro and nanotechnologies with advanced smart sensing materials, which will be integrated as part of the project. In addition there will be the development of complete devices for both stand alone and embeddable monitoring and recording. A critical requirement is that the recorded or transmitted data to be usable as proof in Court. The device will include proofing from any type of external tampering; the communication channel will be secure, compliant and integrated into the existing LEA data networks. As deemed necessary by LEAs, the project will develop prototype products to help tackle illegal drug trafficking and development of homemade bombs. Accurate and unambiguous identification of substances is fundamental to allow LEA to intervene with the most suitable action or counter measure. LEAs will be involved at all critical milestones of the project, from initial requirements, to a first prototype validation, to the extensive trial phase. The project will also propose a certification process tailored to the new sensing devices to enable their legal validation for forensics use while in compliance with European privacy requirements.

The HortiQD project aims to develop an affordable and easy-to-use machine vision system for precision farming. The objective is to build a hyperspectral Short-Wave Infra Red camera working in the wavelength range of 1 - 2 µm with integrated point detection at smaller wavelengths, specifically suitable for orchard monitoring. To reach this goal we propose a novel detector type based on QD technology, based on lead- and mercury-free QDs in compliance with EU regulations and reducing the component cost by approximately 99%. The optical filter will allow for high spectral and spatial resolution, tunable to specific application requirements by design. The hyperspectral images, recorded in-vivo, will be analyzed by deep-learning algorithms in order to identify diseases in an early state and assess the plant health, starting with apples. A data management and correlation system will be set up and present the derived diagnoses and measures directly to the farmer in real-time. The system will be mounted on an already existing autonomous tractor, customized for horticulture, in order to verify the feasibility and targeted TRLs under realistic conditions in several orchard types. HortiQD will help to reduce or avoid the usage of pesticides in European orchards, paving the way towards sustainable farming and increasing food quality. It will scale up the intensity of monitoring by automation, hence, ensure the reliability of European food production. It will help analyze and address the impacts of climate change. The project aims for a fully integrated solution, consisting of several innovative sub components. Each of the developments brings benefit to the industry it addresses and opens up new markets, beyond agriculture and food.