R&D PROJECTS
“AUTOMATIC QUALITY CONTROL TO MOVE TOWARDS SPECULAR ZERO TOWARDS ZERO-DEFECT (SPECULAR ZERO) MANUFACTURING”.
The final objective of the project will be to provide solutions to solve the technological need for a system that automatically performs quality control of parts with complex geometry and specular surface. The system must not only offer the functionality of detection, but also that of prediction so that, by means of this knowledge, repair and prevention work can be carried out on the different elements that make up the production system. The innovations that the project aims to achieve can be summarised as follows:
- The development of surface quality control systems will make it possible to automate the arduous task of inspecting aesthetic defects which, at present and in most cases, is still carried out manually.
- The monitoring of the equipment included in the production system will make it possible to increase the efficiency of the processes and advance in the construction of interconnected and intelligent manufacturing environments.
- The new Industry 4.0 model guarantees improved information management in production systems. The existence of IoT platforms provides the necessary tools for production systems to move towards the ZDM, thus contributing to the reduction of the carbon footprint.
Project location: Jaén, ISR facilities.
Project implementation period: 02/05/2022 – 30/04/2024.
Project budget: 422,774.00 euros.
This project has been co-financed by the European Regional Development Fund (ERDF), within the Multi-regional Operational Programme for Intelligent Growth, NTEGRACIÓN SENSORIAL Y ROBÓTICA, S.L.
Collaborative project: “VISIOLIVE: Integrated vision system in the olive mill yard for the on-line inspection of olive batches”.
To develop a hardware and software ecosystem that allows the automatic and non-invasive inspection of the batches of olives entering the olive mill yard, in terms of the level of dirtiness of the olives.
The hardware will be integrated into the conveyor belts of the olive mills’ yards and will have the objective of acquiring digital images. The software will allow the processing of the captured images and the graphic representation of the results.
In this way, VISIOLIVE will allow the mill to classify the olives it is receiving according to their condition and thus optimise the milling conditions, resulting in processes in which energy consumption is minimised, water consumption is optimised, the performance of the equipment is improved and the highest possible quality and quantity of olive oil is obtained.
The main results are expected to be:
- To accurately and objectively classify the olives entering the mill.
- Minimise water consumption in the olive washing process carried out by the mill by detecting precisely which batches require it.
- Minimise the energy consumption of olive milling in the mill by optimising the classification of the fruit and, as a consequence, the efficiency of the process.
- Minimise machine stoppages and breakdowns due to incorrect sorting and excessive dirtiness of the incoming olives.
- To maximise the quality of olive oil, i.e. the production of virgin and extra virgin oils, which has a direct impact on the competitiveness of the sector, given that these are the oils
best valued by the consumer. - Promote new lines of business in the auxiliary olive oil industry based on ICTs and Industry 4.0.
| Participantes | Nombre de la organización participanteNDUS | Tipología | Persona de contacto |
1 | INOLEO (Coordinador) | AEI | Raquel Costales |
| 2 | INTEROLEO PICUAL JAÉN SA | SOCIEDAD MERCANTIL | Mariela Valdivia |
| 3 | ISR | PEQUEÑA EMPRESA | Ana Siles |
Collaborative project: “OLITECH: Use of new technologies for the early detection of damage in olive groves and sustainable response”.
To identify environmental, physiological and nutritional variables in olive orchards that correlate with the data obtained from satellite/drone images, with the aim of establishing a series of indices or factors that allow the detection of risk areas for the appearance of repilo and/or nutritional deficiencies in olive orchards. To meet this objective, the data obtained will be georeferenced in order to apply differential treatments in space by means of sensors associated with GPS receivers.
This project proposes significant changes in the means of production, applying technologies related to industry 4.0 in the olive grove. The type of action proposed by this project is framed within the experimental development activities: use of existing but not yet implemented technologies to improve the production process of the olive grove, acting in the prevention of diseases and early detection of physiological problems, and thus improving its sustainability through technology.
The main expected results are as follows:
- Verify through a historical record those areas most susceptible to the presence of repilo and collect meteorological data to establish study areas of interest.
- To obtain humidity and temperature records through the placement of sensors in the different study areas selected, and thus establish a classification of the possible incidence of repilo.
- Estimate the general condition of the trees using satellite images (NDVI) and study their possible relationship with the humidity and temperature variables recorded.
- Generate infection prediction models from the processing of historical satellite images and climatic data acquired from the selected farms.
- Apply non-invasive offline methodologies (multispectral vision) on the condition of olive trees using UAVs and leaf samples to predict the nutritional status of the plant.
- Study physiological variables of leaf stress and nutritional content in sap by means of sensors, which will allow us to know the susceptibility of the tree to possible fungal infections or abiotic stress.
- Establish a specific fertilizer supply based on leaf sap data collected after mapping with satellite images. This is intended to adjust input doses according to the olive grove’s own needs, mainly focused on calcium and potassium levels.
Determine economic damage thresholds above which control is required. - Identify those areas most susceptible to the incidence of repilo/verticillosis and formulate a preventive treatment based on different copper formulations.
- Optimize the application of all foliar treatments (nutritional and phytosanitary) through the use of electrostatic spraying technology in olive groves, adjusting the doses and recording data to assess the sustainability of this system.
To demonstrate whether all the data collected by sensors, satellite images and field data allow a satisfactory prediction of the occurrence of leaf spot, verticillium and/or nutritional deficiencies in olive groves.
Participantes | Nombre de la organización participanteNDUS | Tipología | Persona de contacto |
1 (Coordinador) | INOLEO | AEI | Alberto Oya |
2 | INNOPLANT | MICROEMPRESA | Eva Sánchez |
3 | COOPERATIVAS AGROALIMENTARIAS | FEDERACIÓN | César Díaz |
4 | HEROGRA ESPECIALES | MEDIANA EMPRESA | Luis Salido |
5 | BISARI AGROINNOVATION | MICROEMPRESA | Jesús Ayén |
6 | ISR | PEQUEÑA EMPRESA | Manuel J. Cobo Molina |
Cooperation project: “Cooling system for the production of differentiated extra virgin olive oils with sensory integration and advanced control”.
The main objective of this project is the design and development of a new station for the extra virgin olive oil production process, prior to milling, which performs two basic functions: conditioning the temperature of the fruit for the milling process and characterising the fruit to provide information for decision-making downstream of the process.
The novelty is to condition the temperature of the fruit before milling and to obtain, thanks to advanced sensor technology (on-line) for the inspection of olives, relevant information on the conditions of the fruit to establish the estimated potential quality and take decisions in the process, which could lead to an improvement in the process and in the quality of the product to be obtained.
- Place of execution of the project: Jaén, ISR’s facilities.
- Project implementation period: 01/09/2020 – 30/09/2022.
- Project budget: 335,312 euros
Cooperative project: “Electronic Language Device for the parameterisation and classification of olive oils”.
The development of advanced concepts of electronic and sensory integration and cloud technologies has enabled the creation of new devices. In this sense, the ETONGUE project aims to develop and build a prototype electronic tongue for the characterisation of OCs according to their organoleptic properties. Among other applications, this system is intended to be complementary to the current systems for classifying EO according to these parameters.
Therefore, the general objectives of the project are:
- Design and development of an electronic language model
- Obtaining a real and useful product for industry.
- Laboratory and industry validation of the new proposal.
 |  |
Participating Entities:
| Participants | Name of participant organization | Typology | Contact person |
| 1 (Coordinator) | INOLEO | AEI | Lourdes Muñoz Martínez |
| 2 | Integración Sensorial y Robótica SL (ISR) | PYME | Manuel Jesús Cobo Molina |
| 3 | Universidad de Jaén | Javier Gámez |
Demonstrative information day:
Cooperative project: “Electronic nose device for determining the quality of olive oil from its volatile components.”
- Build an electronic nose prototype taking into account industrial specifications (electrical standards, levels of industrial protection, …). Durability and reliability will be fundamental characteristics.
- Develop a web platform in the cloud that hold the prototype data. As an intelligent system is capable of autonomously determining the quality of the oil samples used for experimentation and validation.
 |
 |
 |
| Participants | Name of participant organization | Typology | Contact person |
| 1 (Coordinator) | INOLEO | AEI | Carmen Cristina de Toro Navero |
| 2 | Integración Sensorial y Robótica SL (ISR) | PYME | Manuel Cobo |
| 3 | Universidad de Jaén | Javier Gámez |
“EFFICIENT SOLUTIONS IN AUTOMOBILE LIGHTING AND SIGNALING FOR INTELLIGENT TRANSPORT” (ISAUT)
ITC-20181078
Objectives of the project
Technical objectives
The main objective of the consortium formed by VALEO ILUMINACIÓN and the iSR company is to develop efficient lighting and signaling solutions for automobiles based on an innovative ultra-precision mechanization process what will allow offering new levels of intelligent compact lighting in projectors and new levels of functionality and homogeneity in pilots. This main objective will be developed through the following specific objectives:- Development of low-cost lighting devices for signaling, with similar to OLEDs characteristics, based on the light guide concept.
- Design and validation of an adaptable small size lens for compact optical modules.
- Development of a high resolution light module capable of creating the required shape on the road using epitaxial growth technology.
- Development of an ultra-precision process for the necessary optical standards in previous developments.
Project execution location
- iSR facilities in Jaén.
- Valeo facilities in Martos (Jaén).
Project lead time
Start
Ending
01/07/2018
31/12/2020
Project budget
1.515.074,00 €
Subsidized by CDTI
Co-financed by the European Regional Development Fund (ERDF)
Within the framework of the State Plan for Scientific and Technical Research and Innovation 2017-2020 (INTERCONECTA ERDF Program)
Public Purchase of Innovation in its Pre-commercial Public Purchase modality of the Innolivar Project, in accordance with the provisions of the Agreement between the former Ministry of Economy, Industry and Competitiveness (current Ministry of Science, Innovation and Universities) and the University of Córdoba, co-financed 80% by FEDER funds, within the Multiregional Operational Program of Spain (2014-2020).
The transport of table olives is currently carried out in small aerated containers or in padded trailers. This system has certain disadvantages, among which are the speed of advance of the fruit molestado (appearance of stains in the fruit), leaving the traditional transport systems obsolete. The ISR proposal has several objectives:
- Minimize the time olives spend in environmental conditions.
- Fruit harvesting and cleaning system.
- Classification of the fruit on-site directly after recollection, attending to the molestado, caliber and degree of ripeness.
- System for weighing and identifying fruit batches using wireless technologies.
- Fruit storage system in liquid.
- Real-time control of the state of the fruit and measurement of different variables of the process in real time.
All this with a single system integrated in a haresting trailer that houses all the necessary technology to carry out everything previously described “on-site”.
