Artificial Intelligence and Computational Vision in Innovative Enterprises Projects: Analysis of theTecnova and Centelha Programs in the State of Alagoas

This work analyzes artificial intelligence technologies applied to computer vision from the perspective of contributing to the development of innovation projects contemplated in the TECNOVA and Centelha programs in the state of Alagoas. That said, the study has an applied nature, being designed from...

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Egile Nagusiak: Bruno Vicente Nunes de Oliveira (Egilea), Luciana Peixoto Santa Rita (Egilea), Araken Alves de Lima (Egilea)
Formatua: Liburua
Argitaratua: Universidade Estadual de Alagoas, 2023-04-01T00:00:00Z.
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100 1 0 |a Bruno Vicente Nunes de Oliveira  |e author 
700 1 0 |a  Luciana Peixoto Santa Rita  |e author 
700 1 0 |a Araken Alves de Lima  |e author 
245 0 0 |a Artificial Intelligence and Computational Vision in Innovative Enterprises Projects: Analysis of theTecnova and Centelha Programs in the State of Alagoas 
260 |b Universidade Estadual de Alagoas,   |c 2023-04-01T00:00:00Z. 
500 |a 10.48017/dj.v8i2.2548 
500 |a 2525-5215 
520 |a This work analyzes artificial intelligence technologies applied to computer vision from the perspective of contributing to the development of innovation projects contemplated in the TECNOVA and Centelha programs in the state of Alagoas. That said, the study has an applied nature, being designed from documentary research and access to the databases of the National Institute of Industrial Property - INPI and Orbit Intelligence, in addition to Systematic Literature Review - RSL in the Web of Science and Scopus. In this context, the results of RSL highlight solutions extracted from 45 scientific articles from different sectors. Furthermore, 28 Brazilian patents on computer vision are identified, which have, to a large extent, an interface with the health and well-being sectors; and agribusiness. In view of this, the adherence of the 41 technologies prospected to the TECNOVA and Centelha Programs was discussed, with 31 technologies having adherence to the innovations proposed in 14 projects of the analyzed Programs. 
546 |a EN 
546 |a PT 
690 |a Inteligência Artificial 
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786 0 |n Diversitas Journal, Vol 8, Iss 2 (2023) 
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