SMART HYPERCAM

PROJECT TITLE:

INTELLIGENT HYPERSPECTRAL RECOGNITION SYSTEM FOR DETECTION, IDENTIFICATION AND TRACKING OF OBJECTS AND PEOPLE IN LOW VISIBILITY SITUATIONS “SMART HYPERCAM”.

GENERAL DATA:

Program_ Call: Public-private collaboration projects, of the State Program to Promote Scientific-Technical Research and its Transfer, of the State Plan for Scientific, Technical and Innovation Research 2021-2023, within the framework of the Recovery, Transformation and Resilience Plan.
Part number: CPP2021-008900
RESOLUTION Date: 12/28/2022
Execution date:09/01/2022 – 08/31/2022 – 08/31/2025

PRESENTATION AND OBJECTIVES:

One of the main challenges faced by law enforcement agencies is the need to be able to detect and identify potential threats almost instantaneously, in all visibility conditions, in order to take preventive measures before they can cause damage to people, infrastructure or organizations.
In response to this need, this project aims to develop an intelligent long-distance vision system that can overcome the limitations of current systems, based on an enriched image with object identification and classification capabilities, capable of automatic long-distance tracking and with the ability to operate in conditions of low or no visibility, both at night and in the presence of smoke, clouds or fog, analyzing the behavior of the monitored object or person for the prediction of its future trajectory in order to solve occlusions.

PARTICIPATING ENTITIES:

INSTALAZA SA
TECHNOLOGICAL INSTITUTE OF ARAGON

BUDGET:

TOTAL PROJECT BUDGET : 746.714,50 €.
TOTAL BUDGET ITAINNOVA: 374.850,00 €.

FINANCING:

TOTAL PROJECT FINANCING: 672,681.27 €.
TOTAL FINANCING ITANNOVA: 374.850,00 €.
The project in which the Instituto Tecnológico de Aragón (ITAINNOVA) participates is called “INTELLIGENT HYPERSPECTRAL RECOGNITION SYSTEM FOR THE DETECTION, IDENTIFICATION AND TRACKING OF OBJECTS AND PEOPLE IN LOW VISIBILITY SITUATIONS, IDENTIFICATION AND TRACKING OF OBJECTS AND PEOPLE IN LOW VISIBILITY SITUATIONS “SMART HYPERCAM” with file number CPP2021-008900 has been approved by the State Research Agency under the R&D&I Projects in Public-Private Collaboration 2021 program in the framework of the Recovery, Transformation and Resilience Plan.

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