The handling projector, internally known as the Identifying Flying Object (IFO) is a scanning/projecting augmented reality system able to project real-time information on any number of objects which may be recognized using its overview and depth cameras. Using our ‘point-and-project’ principle the IFO is able to be deployed in any environment where humans need the ability to naturally interact with an increasingly more encoded world.

The IFO originated in the parcel and logistics sector. It was here that we noticed that the commonly used handheld barcode scanners were very inconvenient to use by the parcel sorting employees and wasted a lot of efficiency. We found a solution in developing a machine capable of scanning all of the barcodes within a specified area, and projecting the relevant information directly onto the barcode. This completely frees up the hands of the sorting workers and allows them to fully focus on the actual task of physically sorting, without having to worry about getting the right information first.


The SmartGrinder

Whenever railroad tracks are welded together, the resulting weld needs to be grinded down until it is as smooth as the tracks themselves. This is currently still a completely manual and laborious process involving heavy, combustion engine powered machinery requiring the user to work in unergonomic positions for extended periods of time.

Genuin is currently developing what we call the “SmartGrinder”, a lightweight and fully automated grinding machine. All that’s left to do after a weld is made is to place the SmartGrinder on the rail, and turn it on. Using a laser profile scanner the SmartGrinder will make a 3D image of the rail and weld, and calculate the optimal shape. The machine then calculates a toolpath and performs both the course grinding and smoothing passes using efficient, lightweight electric motors.

Growth Tower

One of humanity’s most important requirements is the availability of healthy food. It is the fuel of our civilisation. In the last 20 years our collective view and technology have changed dramatically. If we look at how our food is produced based on this new knowledge it becomes evident that there is much room for improvement, particularly in the areas of leveraging nature’s own powers of renewal and circularity.

As a species we are currently coming to terms with the finite nature of our resources, and finite space. Most crops today are grown in large open monocultural fields. This additionally requires heavy and often polluting machinery in order to work these fields. From a modern and high-tech perspective, our current ways of farming are extremely dated.

In 2015 nearly 60% of The Netherlands was used for agricultural purposes. We believe vertical farming is the solution to reducing this area, allowing nature to reclaim much of its area lost to farming. This will result in the stabilisation of local ecosystems and, as a result, Earth itself. By growing microgreens in a vertical system both growth times and labour can be reduced. To this end, Genuin has started an internal research project into the development of a modular vertical farming system requiring minimal human interaction. 



Richard Hardiman, an entrepreneur from South-Africa, witnessed how people in his home country were using boats and landing nets to scoop plastic out of the ocean. He immediately got inspired by what he saw and developed a much faster, smarter and more efficient concept to clear the water of plastic by using drones.

He didn’t get much further than just the concept in South-Africa, but luckily for him he received a phone call in 2015 from PortXL. In 2016, he completed the PortXL program and met with startups and facilities at RDM via the Port Authority's network.

He signed a contract with Port Of Rotterdam in order to further develop his prototype., RDM Makerspace, and Jules Dock helped him to build his prototypes and products. Now with the facilities of the Rotterdam University of Applied Sciences sin the RDM he can test and improve his prototypes in the Aqualab and Dronehaven.