Open Calls

The project will provide EUR 3,3 M of direct financial support via two Open Calls.

The ultimate goal of these calls for financial support is to fund and encourage the validation of the new cross-sectoral and cross-regional digital manufacturing value chains, delivering innovative goods, services and processes in new sectors. The calls will be adapted to two maturity levels: TRL 5-7 and TRL 8-9, understanding that the needs of the technologies and business have different needs depending on their TRL and IRL.

Last April 27, was the open call launch event, you can see the presentation here .

What we offer

The main objective of the call is to raise the efficiency and competitiveness of the manufacturing industry by adopting the latest digital technologies for a smarter and greener transformation aligned with the latest EU policies.

The present call funds the development, testing, validation and market uptake of INDUSTRY 4.0 solutions by increasing the Technology Readiness Level (TRL)/maturity of the proposed solutions in delivering innovative goods, services and processes.

The following schemes will be supported according to two maturity levels: TRL 5-7 and TRL 8-9

IIOPEN CALL SCHEME

III. INNOVATION SUPPORT

IIII. GO TO MARKET SUPPORT

Specific Objective

Development of innovative ICT (TRL 5-7)  based solutions for manufacturing industry *

Demonstration  & growth of the digital solution/s (TRL 8-9) on the industry market*

Budget of the proposal *

  • Up to EUR 60 000 in case of
    individual applicant
  •  Up to EUR 120 000 in case of more applicants.

The maximum grant requested per applicant shall not exceed EUR 60 000

  • Up to EUR 30 000 in case of
    individual applicant
  • Up to EUR 60 000 in case of more applicants

The maximum grant requested per applicant shall not exceed EUR 30 000

Budget for manufacturing industries

SME Industry Partner(s): Up to 20% of the overall project budget

Large companies are not eligible for funding in this call, but can be part of the partnership with a Letter of Intent to participate in the project, with explicit agreement to test or implement the project solution.

Accelerator programme

Complementary to the grants received from the MIND4MACHINES Open Calls, funded SMEs may benefit from tailor-made acceleration support services

The selection of the acceleration services will be performed after the closure of the Open Call, based on the results of the Investment Readiness Level (IRL) self-assessment online tool. The applicants are required to fill in the IRL self-assessment prior to their application.

The non-funded applicants may also benefit from the acceleration services upon request.

*If you have doubts about the TRL of your technology, please check it here

Who can apply

 

Proposals for manufacturing SME digitalization projects must be submitted individually by a technology provider SME or by a partnership of multiple technology providers SMEs for complex solutions, having an industry partner (or more).  Cross-border partnerships are strongly encouraged. 

All applicants [technology supplier applicant(s), industry partner(s)] must be registered in one of the EU27 Member States or in Horizon 2020 Associated Countries. The list of the countries associated with Horizon 2020 is available here

How to apply

 

The proposal will be submitted electronically by the main applicant using the F6S Platform.

To submit a proposal, the main applicant will first have to register for an account on the F6S Platform, including the company profile where contact data will be asked.

The F6S platform is the sole entry point for all application submissions to the MIND4MACHINES Open Call. Submissions received by any other channel will be automatically discarded.

Read the official Guide for applicants and make you sure you have all the details about the application and evaluation process.

The detailed version of the application form, following the exact chapters required on the Platform, can be found in Annex 1. There are two compulsory Annexes to be uploaded (Annex 4 and Annex 5), while Annex 2 Administrative Data for multiple applicants/partners and Annex 3 Letter of Intent from large company are only uploaded if applicable. All Annexes will be uploaded as PDF files.

Challenges (11)

Annex 1

Application form brief

Challenges (12)

Annex 2,4 and 5

Annex 2,4 and 5  are found as seperate sheets in the Excel file.

Challenges (15)

Annex 3

Letter of Interest template

Have a look at FAQs and check the answers to the doubts you might have and it could be already resolved

Then Apply !!, do not forget the deadline: June 29, 2022 at 17:00 Brussels Time

For further questions and clarifications, you may check and address the following ways:
I. Frequently Asked Questions [FAQs]
II. European Help Desk -MIND4MACHINES Open Call

Open call launch event presentation

Presentation Open call launch event

Presentation of the Open call - Budget, elegibility criteria, evaluation process

OC1's Winners results

Selected projects

Innovation Support

Summary,  Short description , etc

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Summary,  Short description , etc

Main applicant

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Summary,  Short description , etc

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Industrial partner

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Name: Development of state of the art artificial intelligence algorithm for picking the commodities in warehouses.

Abstract: The main aim of this project is to design and implement best in class artificial intelligence algorithm for picking the goods in warehouses. A huge effort is now placed by many big companies to optimize as it is only possible a time of commodities completion. This results in possibility of delivering more orders to customers. The result of this project will give a most optimal picking path for each employee.

Main applicant

 

  • Name: Meritus Systemy Informatyczne Sp. z o.o.
  • Country: Poland

Industrial partner

 

  • Name: BAUSAN ALUMINIUM Sp. z o.o.
  • Country: Poland

Name: Cloud-based software platform to scale up the development of Augmented Reality applications for the maintenance of industrial machines

Abstract: Developing augmented reality (AR) applications for Industry 4.0 is a complex task that requires very specialized human resources, leading to high costs. This project will develop and test a cloud-based AR4MACHINES platform that will democratize the access to industrial maintenance applications powered by AR. This approach considerably facilitates the deployment of AR on the industrial shop floor, by hiding the complex programming and configurations, behind an intuitive web interface.

Industrial partner

 

  • Name: Dinefer Slovakia, s.r.o.
  • Country: Slovakia

Name: ARI Mobile Autonomous Floor Maintenance and Inspection Robot

Abstract: ARA ARI is an autonomous commercial grade/capacity mobile floor maintenance, disinfection and inspection robot that can vacuum, wash, scrub and disinfect floors as well as gathering floor integrity and air quality information. This robot also has a cradle that can drain, flush, refill, charge and maintain itself automatically without human intervention.

Main applicant

 

  • Name: Ara Robotik ve Yapay Zeka Teknolojileri AŞ
  • Country: Türkiye

Industrial partner

 

  • Name: Verapur Schlafsysteme GmbH
  • Country: Germany

Name: Augmenting Workers to Adapt to quick changes in production

Abstract: AWAke augments workers with a NLU-enabled intelligent mobile tool based on Ancora Worker Connect. Workers receive voice and visual instructions and push information in real time to the decision systems. AWAke frees workers from unnecessary detail, reduces cognitive load, organizes actions to maximize productivity, and transparently checks consistency. We will validate AWAke with our industry partner INDAERO, whose workers will use AWAke to complete quality procedures of manufactured components.

Name: Bring Intelligence to QUality Assurance Devices

Abstract: BIQUAD lowers one of the obstacles that slow down the adoption of artificial intelligence on Vision Inspection Systems for Quality Assurance. Specifically, BIQUAD allows to simplify and speed up the training phase that each visual AI must complete before the delivery to the customers. R2M, by extending an existing prototype, will improve the usage of Augmented Reality and integrate AI Visual Transformers to allow an efficient generation of new visual training sets, starting from existing images.

Name: DIGital twIn for MetalwOrkiNg supply chain

Abstract: DIGIMON aims at implementing a digital twin of the production and supply chain of Bordoni Bonfiglio, a metalworking SME base in Italy. Starting from the existing supply chain of the industrial partner, DIGIMON will aim at achieving a better plan for purchase process (reduction of warehouse stocks of 60%), at implementing push procedures for customers orders and at reducing raw material waste (from 20% to <2%).

Name: Digital Twin for optimizing the manufacturing of pressure vessels by filament winding method

Abstract: The DigVessel project aims at creating a virtual representation of filament winding process for the manufacturing of defect free pressure vessel structures by utilizing critical Industry 4.0 technologies. Sensor data will be analyzed (on-line, in-line) at real-time to determine the safety margins for the pressure vessels. The main primary outcome will be an innovative digital twin (TRL 6) based on the MODELTA platform which has been built from DELTA to keep track of all the operational stages.

Main applicant

 

  • Name: DELTA Materials Process & Innovation Solutions (DELTA-MPIS)
  • Country: Greece

Name: IoT Data Analytics Platform for Industry 4.0

Abstract:Project iData40 sets out with the goal of advancing Enforma IIoT Analytics Platform from TRL-5 to TRL-7 in 9 months. This goal will be achieved by adding new features, improving existing ones, and overall, validating, verifying, and piloting the platform by deploying it on our co-applicant PlusClouds’s cloud architecture in an operational environment of our industrial partners, Isuzu Automotive & Kocaer Steel. We envisage developments that best deliver AI for manufacturing applications’ needs.

Main applicant

 

Name: Enforma Bilisim A.S.

Country: Türkiye

1st. Industrial partner

 

Name: Anadolu Isuzu Otomotiv Sanayi ve Ticaret A.Ş.

Country: Türkiye

2nd. Industrial partner

 

Name: Anadolu Isuzu Otomotiv Sanayi ve Ticaret A.Ş.

Country: Türkiye

Name: An AI-driven solution towards a green and smart transformation of the inventory and warehouse management of manufacturing SMEs, increasing their resiliency to supply chain disruptions

Abstract: Mantissa addresses the logistics and supply chain management challenges of the manufacturing sector. It is a solution for digitizing key operations concerning the inventory and warehouse management of small to mid-sized manufacturing companies. It includes a voice-picking system, to shift from paper-based order management to hands-free operations, and an AI-based module, that optimises the warehouse inventory. The solution will be piloted in Rosver, an Italian SME producing abrasive products.

Name: PRODE SMART PORTABLE DETECTOR

Abstract: Textile Companies execute tissues quality checking via human visual inspection normally provided with a machine that illuminates the tissue while it scrolls up on a oblique board. Its takes time, delaying the production and it’s not free of errors, many tissue anomalies are hidden to the human eye and more, the chemical and structural properties are not checked. Prode execute surface, structure and chemical mapping of the tissue assuring the quality needed since the production beginning.

Name: Robots Imitate Magos

Abstract: Many industrial processes remain being executed manually due to the necessary dexterity to perform them and their complexity to be replicated and automated. RIM utilizes a sensorized glove (Magos) to gather hand movements, and translates them into a tangible set of instructions and trajectories to feed diverse combinations of robot and a gripper model designed by SIEMENS. RIM decreases the development time of robotic trajectories and gripping strategies in extreme dexterity implementations. 

Name: RObotic System for Brass Ingots Quality Inspection

Abstract: The challenge proposed in this experiment is based on the design and development of a robotic and AI computer vision inspection system to detect impurities in for brass ingots. Latones del Carrion is one of the European leaders of brass ingots manufacturers and has a challenging problem to identify the inclusions of other materials in their brass ingots which affect to their quality (See letter of intent)

Name: Hardware as a Service Solution, that replaces the entire lab of professional prototyping equipment with one machine or browser.

Abstract: The proposal is to: 

– Develop and test the automated 3D-printer SmartZavod and HaaS model, and to move the solution from TRL 5 to TRL7;

– Integrate HaaS model into partner’s development and production cycle, as typical industrial SME – low series products manufacturing enterprises with low ROI into expensive 3D printers.

– The proposed solution allows flexible remote use of a 3D printer on demand without high entry costs.

Main applicant

  • Name: PRIVATE ENTERPRISE FOP Solntsev Oleksii Vasylovych
  • Country: Ukraine

Name: Real Time Fabric-Trolley Tracking and Movements Analytics for Textile Dyeing Factories

Abstract: Due to low level of digitalization, textile industry has poor internal traceability of goods and materials, causing inefficiencies and bottlenecks. TEXTRACK project aims to increase textile sector digitalization to solve these problems by demonstrating the integration of novel indoor location system with a data analytics platform. The project involves 2 technology suppliers and 1 industrial partner, and addresses Decision Support, Logistics and Supply Chain challenges of M4M call.

Second applicant

 

  • Name: Eliar Elektronik Sanayii A. S.
  • Country: Türkiye

Industrial partner

 

  • Name: Mayteks Örme Sanayi ve Ticaret A.Ş.
  • Country: Türkiye

Name: Threaded Insert Smart Assembly Tool for Industrial Production Process.

Abstract: The TISAT4IPP project is related to the development of a specific tool used to process the thread inserts. The main objective is to develop a smart tool:

  • Able to be connected to other tools present in the system/production environment to improve the production quality aspects and the system automation level.

  • That is easier to be used by any operators

It represents the solution to quality, connectivity and reliability problems of standard hydraulic-pneumatic tools in modern production process

Name: ValueChainGenerator (VCG.AI): A platform to enable industry 4.0 manufacturers to enhance resource efficiency through targeted cross-regional & cross-sectoral resource-based supply-chain collaboration

Abstract: The project’s objective is to further develop, test, and validate our digital manufacturing resource management platform, in collaboration with a renowned industry partner Pivovarna Laško Union (Heineken Slovenia).

Using AI, VCG.AI supports manufacturers in better resource efficiency across their material streams and improving sustainability performance by centralizing the overview of their material stream and finding circular collaboration opportunities in a large industry 4.0 value network.

Main applicant

 

  • Name: UWAZI Tech GmbH
  • Country: Germany

Industrial partner

  • Name: PIvovarna Laško Union
  • Country: Slovenia

Name: Self navigating robotic platform for welding in shipbuilding

Abstract: WeldBOT will enable Shipbuilding 2.0 era as an automated welding solution for flexible and highly-customised production lines. WeldBOT is an innovative, self-navigating robotic welding solution that will revolutionize the ship newbuilding and repair industry. Our vision is to reduce manufacturing costs for shipbuilders while improving welding quality, and to increase worker safety by preventing their exposure to harmful welding radiation and toxic fumes.

Name: NET zero navigation platform FOR eneRgy intEnSIve induSTries

Abstract: The NET4RESIST Project aims to develop a data-driven energy management system for supporting industrial facilities to reduce their energy consumption and related carbon emission under Scope 2. The innovative approach of the project is that the proposed monitoring platform combines industries’ energy efficiency, cost reduction and net zero targets with a multi-objective and data driven decision support system. We will provide organizations with the transparency they need to optimize energy usage.

Main applicant

 

  • Name: REENGEN ENERJİ TEKNOLOJİLERİ ANONİM ŞİRKETİ
  • Country: Türkiye

Second applicant

 

  • Name: ALMENDE B.V.
  • Country: Netherlands

Industrial partner

 

  • Name: ISLAND DENIM TEKSTİL A.Ş.
  • Country: Türkiye

2nd. Industrial partner

 

  • Name: BOSSA TİCARET VE SANAYİ İŞLETMELERİ T.A.Ş.
  • Country: Türkiye

GO-TO-MARKET Support

Name: Baruffaldi machinery LINKing and monitoring technology 4.0

Abstract: Industrialization of the hardware, software and services of a prototype IIoT application tested in an operating environment. The project is aimed at networking and remote monitoring of the machines produced by Baruffaldi both through commercial platforms and a new Open Source web platform developed by Baruffaldi itself to provide a set of additional advanced services to the customer for the condition monitoring of the machine, analysis of production, after-sales and spare parts management.

Main applicant

 

  • Name: Baruffaldi Plastic Technology Srl
  • Country: Italy

Industrial partner

  • Name: OBO Bettermann Produktion Deutschland GmbH & Co.
  • Country: Germany

Name: Digitalization of Time Study for Manufacturing Enterprises

Abstract: Through Industry 4.0, machine data is utilized for maximum efficiency. Nevertheless, companies do not measure human-involved activities on the shop floor. Therefore, valuable data is being lost. Current AI-based video analytics solutions to digitize manual work are applicable for large companies but not feasible for SMEs due to the long AI training processes and hardware needs. DIGITSME is a demonstration of a new plug&play, easy-to-train, no hardware solution in a manufacturing SME.

Name: Increasing production efficiency and sustainability for MUSA

Abstract: KFactory (Kognitive Manufacturing Tech SRL) is the most relevant Industry 4.0 scaleup from Romania and the first startup funded in this area in Romania.

KFactory is helping manufacturing companies to digitize their business flows, to increase performance and productivity, ensuring in the same the sustainability according to the new regulations as set in European Green Deal . By using KFactory, manufacturing companies have increased performance up to 25% and up to 100% less manual work.

Main applicant

 

  • Name: Kognitive Manufacturing Tech SRL
  • Country: Romania

Industrial partner

 

  • Name: MUSA Pitesti ‘96 SRL
  • Country: Romania