There are many strong incentives to reduce the use of manual labor in the meat industry: High wage countries such as Denmark are at an obvious disadvantage compared to low wage countries. Even for lower cost countries it is becoming increasingly difficult to recruit and retain slaughterhouse staff. Staff turnover is high resulting in costs for training and also for poor product yield and quality. De-boning involves repetitive movements and heavy lifting which can result in health issues and muscular skeletal disorders. The aim is therefor to develop an X-ray 3D imaging solution that can be integrated into robotic solutions at meat processing plants to enable the automation of manual deboning processes. The approach adopted is to use inverse problem solving and deep neural networks to determine the internal distribution of hard and soft tissues in the products, superseding the need for tactile feedback and enabling fast and precise deboning operations that in some respects will result in superior performance, e.g. more precise fat trimming with better yields. The objectives are: To develop X-ray measurement hardware that fast and efficiently can supply X-ray projections at different angles containing information about meat, fat, and bone internal tissue distributions within 1 mm. To develop analysis software to determine the tissue distributions with sufficient speed and accuracy. To develop an application programming interface for robot integrators.

Testing large radio systems, e.g. ships or aircraft, though essential to ensure operational performance, typically requires transporting the tested object to dedicated test sites, which is cumbersome, expensive, and time-consuming. Today, there is no fast, cost-efficient and easy solution at scale. The DRONES project aims to develop a novel drone-based solution capable of in-situ radio testing of large objects and electromagnetic (EM) signature characterization, which allows objects to be tested whilst in operation mode. To achieve this purpose, a constellation of drones equipped with low-wind load, high-performance antennas and advanced radio transceivers covering a wide range of frequency band, along with artificial intelligence enabled signal processing and drone-swarm algorithms will be developed. The solution will empower the industry (such as maritime, aerospace, automotive and defense, and associated companies) with enhanced capabilities for evaluating critical electromagnetic systems, paving the way for improved performance and reliability of sensors and communications systems. The DRONES project brings together experts in the fields of antenna measurements (AAU), antenna measurements with drones (QuadSAT), and drone technology (SDU), collaborating closely with key users such as Scandinavian Avionics and FMI. The product will provide drone-based solutions to customers as a service or offer the measurement system to be purchased as an out-of-house testing facility.