WP1 - Identifying the requirements, techniques, and AI models published in the current literature. Identifying the limitations of current techniques, proposing improvements, and collecting databases associated with the requirements.
D1.1 This activity aimed to interpret and analyze the project requirements, based on the terms of reference and guided through periodic (bi-weekly) meetings with the beneficiary, as well as through documents containing questions and answers from them. The aspects addressed in this report can be summarized as follows: (i) description of the general requirements of the project; (ii) description of the specific requirements of the project related to algorithms, the integrated software platform, and the data used within the project; (iii) the scenarios used in algorithm development; (iv) requirements related to data and application security.
D1.2 We study the scientific literature on Artificial Intelligence algorithms that will be developed within the project. Thus, the deliverable contains information about the following algorithms: (i) algorithms for content description, context extraction, and entity similarity; (ii) algorithms for classifying human actions; (iii) algorithms for re-identifying individuals based on general visual appearance, facial similarity, and voice similarity; (iv) algorithms for vehicle identification; (v) algorithms for geolocation in urban environments; (vi) algorithms for detecting textual entities.
D1.3 This activity aims to study and validate the software architecture that will be implemented within the project, targeting the following points: (i) the working software architecture, connection to data sources and protocols; (ii) the data processing module; (iii) data storage; (iv) the intelligent reporting module; (v) the GIS map module; (vi) algorithm topologies and methods.
D1.4 This activity identifies data sources that can be used for training, validating, and testing the algorithms of this project. Where available, databases that closely match the scenarios described in Activity I.1 were analyzed and selected. Thus, databases were analyzed for the following algorithms: (i) algorithms for content description, context extraction, and entity similarity; (ii) algorithms for classifying human actions; (iii) algorithms for re-identifying individuals based on general visual appearance, facial similarity, and voice similarity; (iv) algorithms for vehicle identification; (v) algorithms for geolocation in urban environments; (vi) algorithms for detecting textual entities.
D1.5 It aimed to identify GDPR and data security requirements for the proposed project. The following aspects were analyzed: (i) defining and explaining GDPR terms, as well as the national and European legislative framework encompassing these regulations; (ii) aspects regarding the processing of personal data for the databases in this project; (iii) applying GDPR in the context of artificial intelligence law, with reference to the use of cameras, surveillance tools, and specific algorithms.