Evaluation of alternative, complementary or improved solutions for artificial vision and perception algorithms used for automatic Identification in industrial processes including algorithms to provide advanced data processing of heterogeneous data sources (egg vision and data sources of information)

Evaluation of customer’s solutions for artificial vision and perception algorithms used for automatic Identification in industrial processes against different use cases. The evaluation of customer’s algorithms to provide advanced data processing of heterogeneous data sources (eg vision and data sources of information) against different use cases is also considered as the evaluation of performance in tasks such as classification, segmentation, behavioral patterns identification and prediction by combining relevant information from industrial processes which involves different data types. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and perfomance of the proposed solution in objective use cases. The result will be a pilot application to evaluate the different algorithms for a specific use case and to show potential of other advanced technologies. Target audience: industrial companies – developers of artificial vision technologies