Research & development

At the forefront of technology

ISR has a portfolio of products selected from, on the one hand, the high scientific-technical capacity of the company and, on the other hand, the experience in the analysis of the requests and needs of the market as a previous step to tackle any development . In this sense, ISR develops its technological capabilities within the field of automation, mechatronics and sensory integration, achieving a high level of specialization of the solution.



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.
ParticipantesNombre de la organización participanteNDUSTipologíaPersona de contacto


INOLEO (Coordinador)AEIRaquel Costales

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.


Nombre de la organización participanteNDUS


Persona de contacto





Alberto Oya




Eva Sánchez




César Díaz




Luis Salido




Jesús Ayén




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:

ParticipantsName of participant organizationTypologyContact person
1 (Coordinator)INOLEOAEILourdes Muñoz Martínez
2Integración Sensorial y Robótica SL (ISR)PYMEManuel Jesús Cobo Molina
 3Universidad de Jaén Javier Gámez

Demonstrative information day:

Cooperative project: “Electronic nose device for determining the quality of olive oil from its volatile components.”

The main aim of this project is the development and validation of an industrial electronic nose prototype that follows the Connected Industry 4.0 initiative and that allows, prior to the training phase, the defect evaluation of samples of olive oil. The prototype of the electronic nose is mean to help the tasting test teams to automatically determine the quality of olive oil, principally in industrial sectors. That is why adding it on the manufacturing process, the electronic nose could give an assessment, based on the volatile components of the oil. Thus, it would make this tasting tests during the production. The main expected results are:
  • 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.
Participating Entities:
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

Conference for the dissemination of results:



Objectives of the project

The constant improve of the vehicle lighting industry forces to make the driver and pedestrians more safe and comfortable. Therefore, it is necessary to research new technologies with increasingly efficient and sustainable lighting systems and a better integration of functions with the interaction of the vehicle with the surroundings and with other vehicles. In general, the market demand what is known as “downsizing”. More and more compact modules that leave more space for the integration of signage (mainly DRL) and decorative elements , while improving lighting functions. This offers stylists the opportunity to include brand-specific style features. , which make the vehicle recognizable. This trend makes the development of the products more complex, since this size reduction must be compatible with a correct and controlled projection of the light beam, in order to provide a pleasant ride and not dazzle other drivers or pedestrians. In the same way, in the rear lights and, in general, in all the signaling elements, the market generally demands giving recognizable designs for the brand image. These functional requirements pose a technological challenge, forcing developments on materials, designs, processes, … VALEO ILUMINACIÓN will be responsible for all work related to product development and, in the activities and tasks related to the process, will be in charge of the purely productive aspects (definition of parameters, design of process stages, …), without intervening in the automation of assembly and control operations. iSR will be in charge of these works, developing automatic control and assembly systems using computer vision.

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






Project budget

1.515.074,00 €

Subsidized by CDTI

Co-financed by the European Regional Development Fund (ERDF)

EUROPEAN UNION European Regional Development Fund (ERDF) A way to make Europe

Within the framework of the State Plan for Scientific and Technical Research and Innovation 2017-2020 (INTERCONECTA ERDF Program)

ISR, participates with its proposal named: Mobile Automatic Classifier based on Computer Vision for table Olives “VISIOMesa” on line 12. Integrated systems for real-time traceability in mechanized harvesting of table olive groves within the Innovation program “Innolivar ”Convened by the University of Córdoba, which focuses within its business line Development and sale of SMART-AGRO (SMA) solutions, developing the web platform and mobile application for the registration, control and representation of the data of interest obtained .

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”.