We are very excited to bring to universities and higher education institutes across Africa (and in some part of Europe), our internship programme. In line with our vision to grow a spirit of hope for talented students who need guidance (and want to work on exciting projects with business value), the objectives of the internship are as follows: Improve the industry-readiness for the selected students. Currently only the following disciplines are supported: Engineering (mechanical, aerospace, electronics, mechatronics), Computer Science. Currently only 3rd-year and above students are eligible. Expose students to professional methods of research and development. Increase the probability of employment through gaining valuable work-experience. Guide students through real-world problem-solving, product engineering and commercialization. Combine flexible hours with working from home. This programme is incentivised through output-based remuneration and student referral. If you

Over the past two years, the research and development team has been developing a method to identify faulty motors on a drone without interrupting a mission (automated or manual). This is of high interest as it will give the pilot more information to ensure the successful recovery of the system in the event of a fault. The team of engineers has developed a Machine learning (using Artificial Neural Networks) framework that superimposes the dynamics on the controls in order to detect and locate a fault in a rotor without compromising the mission. The graph above shows simulate a rotor fault once the drone reaches 9 m/s and the fault identification system (FIS) detects a fault 1-second later. Once the other rotors are analyzed, the Rotor1 is identified as having a fault and this information is sent back to the pilot. It's important to know that even though a major fault has occurred, the drone a capable of flying for some time until instability grows and the drone becomes unc