B.12: Object Detection and Classification for PC Components: Difference between revisions
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• '''Short Description''': | • '''Short Description''': Advanced Object Detection and Classification Module: Incorporates pretrained neural network models for precise object detection and classification, embedded within the process Digital Twin, utilizing NOVAAS technology for optimal performance. The system integrates the YOLO v5 model for advanced object detection and classification within the Digital Twin software, using NOVASS technology. It employs industry standards, protocols, and APIs for seamless execution and interoperability, offering precise object recognition and improved decision-making across sectors. | ||
• '''Reference, URL''': | • '''Reference, URL''': https://www.uninova.pt/ | ||
• '''Applicable Business Category''': | • '''Applicable Business Category''': Manufacturing | ||
• '''Application in relevant Projects/Initiatives''': | • '''Application in relevant Projects/Initiatives''': Yes, Circular TwAIn | ||
• '''Asset Type''': | • '''Asset Type''': Executable | ||
• '''AI Breadth''': | • '''AI Breadth''': | ||
| Line 19: | Line 19: | ||
• '''Applicable Technical Category''': | • '''Applicable Technical Category''': | ||
• '''License Information: Proprietary license''': | • '''License Information: Proprietary license''': Copyright | ||
• '''Related to circularity and sustainability''': | • '''Related to circularity and sustainability''': Yes | ||
• '''Audience''': | • '''Audience''': | ||
Revision as of 08:47, 8 April 2025
• Short Description: Advanced Object Detection and Classification Module: Incorporates pretrained neural network models for precise object detection and classification, embedded within the process Digital Twin, utilizing NOVAAS technology for optimal performance. The system integrates the YOLO v5 model for advanced object detection and classification within the Digital Twin software, using NOVASS technology. It employs industry standards, protocols, and APIs for seamless execution and interoperability, offering precise object recognition and improved decision-making across sectors.
• Reference, URL: https://www.uninova.pt/
• Applicable Business Category: Manufacturing
• Application in relevant Projects/Initiatives: Yes, Circular TwAIn
• Asset Type: Executable
• AI Breadth:
• Learning Ability:
• Related technologies:
• Applicable Research Area:
• Applicable Technical Category:
• License Information: Proprietary license: Copyright
• Related to circularity and sustainability: Yes
• Audience:
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