Coock demo day

You can support your operators in various ways during their work. With the help of digital work instructions, production processes can be assisted in a simple way. Digital work instructions have been proven to increase production speed, minimise time losses and improve the quality of the production process.

In today's market, there is a wide range of software systems to roll out digital work instructions on the shop floor. From this range, choosing the system that best suits your production process can therefore sometimes be difficult.

During the COOCK demo day, you will see several demonstrations where digital work instructions are integrated. These demonstrations will be shown in the Make Lab, a mobile trailer fully equipped with the latest developments realised by Flanders Make. Here you can find things like collaborative robots, projection-based work instructions or the DWI converter, an application designed to convert information from certain file formats into digital work instructions. During the workshop, the installations will be made available for you to try out for yourself and gain experience.

More information on the project.

With the CEROS Coock project, we want to respond to the growing demand among companies for support in the design and implementation of flexible robot systems, using near-market-ready technologies. 

The aim of the project is to disseminate knowledge and to efficiently support companies in the adoption of flexible robot systems by guiding them towards the appropriate technology that can be effectively used in their production environments.

More information about the project.

The COOCK project "Vision in manufacturing" aims to highlight the potential of vision systems for metrology and detection in production environments. The aim is to demonstrate the wide applicability of vision techniques to automate processes such as quality control or monitoring. This includes analysing and presenting computer vision hardware, algorithms for measurements (including 3D data), and AI detection.

More information on the project.

Within this project, we investigate different adhesive technologies that enable "debonding-on-command" for semi-structural applications in the construction, mechanical engineering and transport sectors.  

Moreover, as a project partner, VITO illustrates the circular potential of each of these technologies by analysing both the environmental and business impact of the offered solution. 

Are you looking for a degradable solution to your semi-structural bonding question?  Do you want to check the feasibility of these technologies for your application? Or would you like more insight into the underlying business case? 

Then be sure to come along to our COOCK demo day on 4 May.

More information about this project.

The OPSdrone project focuses on lowering the threshold for developing operational services with drone imagery for the agri-food industry. These services require a minimum of 20 observations per year, justifying the use of drone technology. It is imperative that the entire value chain - from drone flight application over drone imaging to interpretation for agri-food applications - uses clear agreements, viable best practices and the ability to smartly integrate B2B processes. This can be supported and realised through recent technological developments, such as drone flights, automated drone image processing, use of cloud processing and use of AI/object detection.

The Connected Manufacturing project aims to make the technological possibilities of connecting machines and business applications tangible for companies and give them insight into how to exploit them to increase transparency and productivity.

With this project, we want to accelerate the introduction of these technologies among Flemish manufacturing SMEs. To this end, generically deployable connectivity solutions for existing production systems and new generations of machines will be developed. These allow to connect a heterogeneous machine park with existing software systems or new applications, locally or in the cloud. 

More information on the project.

The ambition of the IIoTSBOM project is to make innovative cybersecurity technology for IIoT and the process to use and improve it (Security Bill of Materials) more widely available and better known to Flemish technology companies active in IoT and/or cybersecurity. Specifically, we aim at the following with this project: 

• The development of reference architectures, concepts, guidelines and toolkits 
• The organisation of inspiring seminars, webinars and workshops for the use of CyberSecurity in IIoT and the use and application of SBOM 
• The development of end-to-end demonstrators using representative use cases to demonstrate the potential for manufacturing companies and integrators.

More about this project.

Production chains of companies are constantly dealing with wear and tear of parts, to avoid expensive corrective stops as much as possible, many companies carry out regular manual inspections. A better solution is often to monitor parts continuously and automatically. 

We have been doing intensive research in the field of condition-based maintenance for years: we have developed several software toolboxes for defect detection and test fixtures that allow us to test hardware and software for condition-based maintenance. 

With this project, we want to respond to the growing demand among companies for support in realising predictive maintenance based on continuously monitoring the "condition" of selected machine parts. 

More information about this project.

There are numerous commercial drone applications, but globally there are two major obstacles:

1. Restrictive drone legislation; and
2. The lack of technology to allow a drone to fly safely and autonomously (i.e. without a pilot).  

While legislation is slowly catching up to allow operatorless flights, technological improvements allow more and more complex tasks to be performed autonomously, eliminating pilot costs and making more and more cases economically viable. More non-human 'intelligence' is needed to autonomously plan a path, adjust the camera and path 'on-the-fly', process video footage and transmit more intelligent data to the user...all this is now made possible by artificial intelligence (AI). 

However, it is not obvious for companies to take advantage of the opportunities presented by the emerging (r)evolution of artificially intelligent autonomous drones. Their deployment comes with challenges. Autonomous drone flights require expertise in autonomous localisation, navigation and detection and avoidance of unforeseen obstacles. As an intermediate step towards the autonomously flying drone, there is a growing demand for more autonomous work functions during drone flight and more intelligent and automatic post-processing of captured information after drone flight. 

Much of the necessary drone and AI technology has already been developed by Flanders Make for its indoor drone, autonomous AGV and image processing, and needs only minor translation to companies. However, these are not yet sufficiently aware of this. Moreover, when introducing a new technology, companies ask themselves questions such as: What exactly does it offer as an advantage? How does one avoid investing in the wrong technology? Can it be purchased or does some part still need to be developed in-house?

More on this project.

The Smart Vision project aims to increase the productivity and quality of logistics operations in companies, thus reducing their costs, but also arming them in an increasingly tight labour market.

To achieve this, logistics application areas identified by the target group will be studied. In addition, effective application areas in other sectors will be studied to look for possible new logistics applications that respond to operational challenges in companies.