The wide proliferation of commercial UAVs has led to numerous reports of airport traffic disruption, smuggling of illicit substances, illegal collection of video footage and disturbance of high-profile mass events.Law enforcement...
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Información proyecto ePatriot
Duración del proyecto: 6 meses
Fecha Inicio: 2017-06-19
Fecha Fin: 2017-12-31
Líder del proyecto
RNC AVIONICS LIMITED
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
71K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The wide proliferation of commercial UAVs has led to numerous reports of airport traffic disruption, smuggling of illicit substances, illegal collection of video footage and disturbance of high-profile mass events.Law enforcement agencies (LEAs) and operators of critical infrastructures (OCIs) are growing highly concerned with the opportunity for criminal and terrorist groups to adopt and use UAVs in support of their illicit activities. Consequently, LEAs and OCIs expressed the need to improve UAV detection and monitoring capabilities.
RNC Avionics (RNCA)responds to this market opportunity and growing societal concern by providing an affordable and high-performing automated and transportable counter-UAV solution, capable of effectively and efficiently detect, classify and track multiple UAVs, to assist LEAs and OCIs in maintaining public safety and security.
The Evolved Sky Patriot Phase 1 (ePatriot1) Project aims to assess the technological and economic feasibility of the introduction of novel advanced features for the Detection, Tracking andClassification of Unmanned Aerial Vehicles (UAVs) in RNCA's existing Sky Patriot solution. ePatriot's innovations will focus on next generation ultra-high definition cameras and improved video analytics algorithms to deliver unprecedented levels of performance for continuous detection and tracking of UAVs based on optical systems; on a prototype for a camera array system able to deliver the full 360º coverage; and on advanced, robust and efficient UAV classification algorithms, based on machine learning using incremental concept learning.ePatriot thus promises to consolidate RNCA’s leading market position as a beyond state-of-the-art provider of robust and trusted technologies and solutions to detect, classify, track and investigate deployed UAVs.
Representing the best value for money, ePatriot is set to be a real game changer in the market, exhibiting unprecedented performance levels for camera-based counter-UAV systems.