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SMARTLABCAM SIGNED

Engineering and commercialization of a smart camera with on-chip image processing for head- and eye-tracking in laboratory animals

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 SMARTLABCAM project word cloud

Explore the words cloud of the SMARTLABCAM project. It provides you a very rough idea of what is the project "SMARTLABCAM" about.

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Project "SMARTLABCAM" data sheet

The following table provides information about the project.

Coordinator
SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE 

Organization address
address: VIA BONOMEA 265
city: TRIESTE
postcode: 34136
website: www.sissa.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 0 €
 EC max contribution 150˙000 € (0%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-PoC
 Funding Scheme ERC-POC-LS
 Starting year 2020
 Duration (year-month-day) from 2020-03-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE IT (TRIESTE) coordinator 150˙000.00

Map

 Project objective

Rodents have become very popular models of cognitive functions, such as perception, memory and decision-making. Understanding the neuronal substrates of these processes requires performing neurophysiological recordings in awake animals, engaged in complex behavioral tasks. This, in turn, calls for tracking in real-time the motor behavior of the animal, to relate it to the underlying brain activity. Custom, as well as commercial, solutions exist that allows tracking basic behaviors in rodents – e.g., the 2D position and orientation of an animal over the arena where he navigates. However, while carrying out the research of the ERC project LEARN2SEE, we realized that methods for 3D reconstruction of some key behavioral features (e.g., pose of the head and gaze direction) are not commercially available, and the custom solutions found in the literature lack generality and are hard to implement and replicate. This prompted us to develop innovative, minimally invasive and user-friendly solutions to head/eye tracking in rodents. Yet, we soon faced another challenge – in order to perform high-throughput experiments, by testing in parallel many subjects (one of the advantages of rodent models over larger laboratory animals), our head/eye trackers would need to be re-engineered to make them easily replicable for series production. Critically, this would also allow transforming them into commercial devices for the ever-growing market of neurophysiology laboratories that, especially in the field of vision science, are employing rodents as model organisms. Here, we present our plan to achieve this goal, by migrating the tracking algorithms we developed for the LEARN2SEE project to smart cameras, engineered for real-time, on-board processing of head/eye video streams. These cameras will become a new product line of CyNexo, a recently established SISSA startup that operates in the market of laboratory equipment and is looking to expand its products’ package to videography tools.

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The information about "SMARTLABCAM" are provided by the European Opendata Portal: CORDIS opendata.

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