With the Hawkeye project, Brantner has redefined the standards in the image-based recognition of objects in the waste management sector. With the support of our neural network, we are currently able to distinguish among 32 different contaminants in real time in the bio-truck's bulk and assign them a school grade from 1-5.

Together with our biologists from the Business Development Team, a "hazard matrix" has been created which we use as the basis for evaluating each individual truck-load. Not all interfering substances are equally "harmful" or "dangerous", for example a single PET bottle is less "disturbing" than an entire car battery. 

Depending on truck's individual loads, a tour score per truck can be generated. Based on this average total score, we can then dynamically re-route our trucks to the right storage location. There, the load is either sorted again as required or it goes directly into the production chain of our premium composting plant "Erdenreich".  

When implementing our innovative projects, we do not only focus on technology, but also on its usability. Our system works 100% autonomously which makes futher interaction from our employees totally unecessary. Thus, 'Hawkeye' does not prolong our tours, rather, it makes them even more efficient. 

Thanks to our "rapid prototyping" process, we were able to produce the required housings by ourselves quickly and cost-effectively by using our own 3D printer, which is made from recycled filaments. The 3D printer can also react efficiently to any necessary adjustments. 

We are currently collecting more and more photos from the trucks and forward them on to our neural network, which is getting better and better every week by means of machine learning.

Our experienced AI trainers take care of the quality assurance of the neural network.