Over the last decade, significant changes have occurred in the civil and military handling sector that have altered the competitive conditions of the sector. The entry of new competitors from countries with little prior manufacturing presence, the concentration of production in a few manufacturers, recurring procurement problems in the supply chain, and the new role of technology as a key factor in competitiveness have led numerous manufacturers to modify their operating models, deploying systematic new product development processes and scaling up production in some product families, including the management of much larger warehouses.
In this effort to adapt manufacturers to the new sector dynamics, EINSA has automated its development, production, and maintenance processes, increased storage space, and incorporated digital technologies into its operations. However, one aspect that was not covered was the need for intelligent industrial processes, which would allow for improvements in efficiency, standardization, and quality, as well as savings in energy, raw materials, and time.
In this context, the company plans to automate some of its development and production processes using software robotics, as well as incorporate Artificial Intelligence (AI) systems with AI algorithms. Specifically, in early 2025, EINSA has carried out a project aimed at including AI algorithms in two engineering and design processes and in a process map production process, through three interrelated subprojects. Based on the results achieved, at a TRL-6 prototype level, it will be possible to improve the efficiency of the affected processes for the development and design of new equipment, as well as improve their manufacturing efficiency and productivity.
To take on this technological challenge, the technological center Fundación Instituto Tecnológico de Castilla y León (ITCL) has collaborated, with its extensive experience in this field. The scope of the project included three subprojects: efficient management of technical drawings using Augmented Language Models (LLMs), digitization of physical parts in 3D environments, and computer vision using deep learning algorithms for production efficiency.
Smart Chatbot for Technical Offices | Plan Search and Automatic Management in the ERP
We present an artificial intelligence-based solution designed to optimize processes in technical offices. This tool, integrated with language models (LLM), allows drawing searches using natural language, eliminating the need to know the internal structure of the ERP.
3D Scanning: Hyperrealistic Models from Video
We present an innovative solution in the field of advanced visual scanning. Through a streamlined and intuitive process, it’s possible to convert a simple video of an object into a hyper-realistic 3D model, facilitating remote inspection, technical communication, and visual access to product information.
Real-time image processing for smart factories
We’re introducing our real-time image processing system, designed for smart factories. It incorporates a multi-camera system that allows for monitoring the entire production line and responding effectively to any situation, ensuring a rapid response in critical cases. It allows for greater control over the distribution of tasks between different workstations through proactive alert systems. Additionally, the system can be used to alert operators who are in hazardous areas or who are not wearing appropriate personal protective equipment (PPE), thus contributing to a safer work environment. This is a step closer to safer, more efficient, and better-controlled industrial environments.