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Law enforcement Agencies (LEAs) are still using conventional, manpower based techniques to gather forensic evidence. Concealed surveillance devices can provide irrefutable evidences, but current video surveillance systems are usually bulky and complicated, are often used as simple video recorders, and require complex, expensive infrastructure to supply power, bandwidth, storage and illumination.
Recent years have seen significant advances in the surveillance industry, but these were rarely targeted to forensic applications. The imaging community is fixated on cameras for mobile phones, where the figures of merit are resolution, image quality, and low profile. A mobile phone with its camera on would consume its battery in under two hours. Industrial surveillance cameras are even more power hungry, while intelligent algorithms such as face detection often require extremely high processing power, such as backend server farms, and are not available in conventional surveillance systems.
The FORENSOR project (FOREnsic evidence gathering autonomous seNSOR), aims at developing an ultra-low-power, miniaturized, low-cost, wireless, autonomous sensor for evidence gathering, able to operate for up to two months without infrastructures.
- Centre for Research and Technology Hellas (EL)
- JCP-Connect SAS (FR)
- STMicroelectronics (IT)
- Fondazione Bruno Kessler (IT)
- EMZA Visual Sensoe Ltd. (IL)
- Synelixis Solutions Ltd. (EL)
- Vrije Universiteit Brussel – Institute for European Sudies (BE)
- ALMAVIVA (IT)
- VISIONWARE (PT)
- Ayuntamiento de Valencia – Policia Local de Valencia (ES)
- Ministério da Justiça – Policia Judiciária Portugal (PT)
Massimo Gottardi (IRIS)Michela Lecca (TeV)
The contribution of TeV to the EU Project Forensor consists in to develop a software tool simulating the functionalities of the ultra-low power, surveillance sensor proposed by Forensor for crime fighting. This work aims at supporting and guiding the hardware implementation of the sensor and it is mainly carried on in collaboration with the Research Unit IRIS (https://iris.fbk.eu/) of CMM.