By oriol Advanced computer vision and deep learning applications for the automatic cataloging of product information and the normalization of taxonomies on e-commerce platforms in the HABITAT sector.
In the habitat industries, there are few domestic suppliers who have a properly structured digital catalog in a format suitable for integration into the most common e-commerce platforms and digital marketplaces. The few companies that do have digitized catalogs often follow their own criteria (and, therefore, have a strong subjective component) for both product categorization and attribute descriptions, which necessitates manual data entry and increases costs significantly.
In this context, the DeepHABITAT project aims to dramatically increase productivity in the cataloging processes of habitat sector companies by introducing artificial intelligence. With this purpose, the project will explore the use of computer vision technologies, such as automatic object detection and color extraction, in combination with new natural language processing (NLP) methods to automatically extract relevant information from these companies' product catalogs, which are available in both physical and digital formats.
The results will be applied to the digitalization and process improvement in the value chain of the habitat sector, particularly in the online marketing of their products, including:
Sector-specific and general e-commerce platforms and digital marketplaces, automatically integrating existing product catalogs in various formats, significantly increasing the number of available references and their updates.
Manufacturers of habitat products (suppliers for these digital platforms), providing them with greater visibility and online presence while drastically reducing the costs and time associated with manual entry of product references.
Architects and interior designers (space designers), facilitating their access to a wider range of products and reducing the time spent on product selection in the preparation of their proposals and designs.
Owners of habitat spaces, both collective and individual, obtaining more precise and enriched search results and receiving more personalized product recommendations based on their needs and preferences.
Innovative Business Cluster Program (AEI) of the Ministry of Industry, Commerce, and Tourism: AEI-010500-2023-326.
By oriol New computational neuroscience systems for modeling multi-sensory experiences and environmental well-being in the food industry spaces.
Participants in the value chain of gastronomic space equipment (manufacturers, distributors, and habitat product specifiers) must operate in a market that increasingly demands personalization. It is becoming more recognized that there is a need to study not only the quality of the experience related to the functional dimension or intended utility of the space but also the emotional needs, feelings, and impressions, as well as the well-being conditions induced by the physical-environmental qualities of that environment.
The GASTROSENSE project focuses its activities on the exploration of computational neuroscience technologies to deliver new, non-invasive neurological, physiological, and environmental-based data that impact the dynamic adaptation of spaces in the gastronomic industry in a more humanized manner. The primary goal is to enhance the personalization of interior design products by considering the behaviors and everyday or spontaneous interactions of diners and restaurant professionals. This, in turn, creates better atmospheres, fosters stronger emotional attachment to the service, and ensures greater well-being.
The project's results will be applied to the digitization and improvement of processes in the value chain of equipment and the design of experiences in the gastronomic industry spaces, specifically:
SMEs that manufacture and supply construction materials and equipment will benefit from a transition from deterministic or static product design (traditional approach) to adaptive and dynamic product design, which is more personalized. This transition enables an ongoing relationship between the manufacturer, product specifier, and gastronomic space manager beyond the moment of product sale.
Product specifiers, space designers, or interior design studios will have easier access to more personalized products and new empirical data regarding a product's performance and its influence on the development of the gastronomic experience. This will empower them to strengthen their differential value layer in the projects they manage in this market segment.
Project promoters or managers of gastronomic industry spaces will have enhanced decision-making capabilities when acquiring habitat products that align better with the desired gastronomic experience design within the space. They will also be able to optimize tangible and intangible resources in hospitality and restaurant businesses.
Innovative Business Clusters (AEI) Program by the Ministry of Industry, Commerce, and Tourism: AEI-010500-2023-274.
By oriol Volumetric rendering through Neural Radiance Fields (NeRF) for photorealistic reconstruction of products and interior scenes in extended reality platforms.
In recent years, the deployment of mixed reality strategies has made a strong impact in the habitat industry, aiming to enhance visualization during the design and manufacturing of new products. It also supports co-creation processes and communication in interior design projects involving manufacturers, specifiers (architects and interior designers), space promoters, and end users.
In this context, the REALINT project focuses its research on the use of a recently developed technology known as Neural Radiance Fields (NeRF) to create digital models of real habitat products and scenes. These models are then utilized in various extended reality applications such as Virtual Reality and Augmented Reality. It's worth noting that the application of NeRF technology in the field of architecture and interior design has been extremely limited to date, despite its significant potential impact.
The project's results will be applied to the digitization and improvement of processes in the value chain of design, manufacturing, prescription, and marketing of habitat sector products, specifically:
Designers and manufacturers of habitat products will increase their competitiveness by reducing the number of iterations with specifiers and end customers, and by enhancing their ability to add value to their products during the design, sales, and post-sales processes.
Habitat product specifiers or space designers will increase the impact and alignment of their designs through new, more immediate and interactive digital formats, and with a higher level of realism.
Space promoters will anticipate the detection of costly risks and deviations, as well as validate alternatives regarding the user experience before moving on to the execution or physical intervention phase of a space.
Program for Innovative Business Groupings (AEI) of the Ministry of Industry, Trade, and Tourism: AEI-010500-2023-274
By oriol Iterative design of advanced and collaborative robotics systems in furniture machining and assembly processes through simulation and the digital twin.
The manufacturing environments for furniture production are dominated by partially automated flexible manufacturing cells focused on specific tasks within the production cycle. Through the specialization of work cells, machinery specific to the furniture sector has evolved in a segmented manner with two distinct trends. On one hand, there is machinery designed for large batch production with high automation levels, prepared for the integration of robotic equipment. On the other hand, there is more flexible machinery with lower performance but capable of handling a greater variety of products. In this work environment, where operations are manually conducted by operators, the penetration of robotic systems is limited due to the challenge of addressing the full spectrum of tasks.
The ROWOOD project aims to investigate simulation systems for robotized machining and furniture assembly cells through the development of Digital Twins. Starting with the virtual recreation of manufacturing cells, the project begins with the development of a virtual model to iteratively validate the optimal integration of robotic equipment into furniture assembly processes. With the validated design and the reconditioned cell, the project will conclude with the integration of sensorized elements into the installation in communication with the virtual model, creating an emulation environment capable of analyzing the performance of the process following the integration of collaborative and industrial robotic technology.
The results of the ROWOOD project will be applied to the digitization and process improvement in the value chain in the production of habitat equipment:
Innovative Business Clusters Program (AEI) by the Ministry of Industry, Commerce, and Tourism: AEI-010500-2023-273.
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