Archangel Imaging
Furkan Aldemir is a skilled electrical and electronics engineer with extensive experience in machine learning and team leadership. Currently serving as a Team Lead at Novit.AI since March 2022, Furkan leads a tech team of six engineers and is responsible for the development of a telemetry server for deployed devices. Previous roles include a Machine Learning Engineer at Novit.AI, where deep learning models for object detection were trained and a legacy embedded AI camera system was maintained. Furkan also worked as a Research Assistant at METU Heart Research Laboratory and held internships at Darkblue Telecommunication Systems, AirCar Corp., and eltemtek, focusing on areas ranging from road detection models to battery management systems and electric distribution network design. Furkan holds a Master of Science in Electrical and Electronics Engineering from Middle East Technical University, a program completed in 2023, and a Bachelor's degree in the same field obtained in 2020.
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Archangel Imaging
Archangel Imaging provides software and hardware options to make machines smart enough to become team mates you can trust to do their part, rather than tools you need to constantly manage. Veteran founded and owned we focus on supporting users in remote, exposed on challenging environments, including police, service personnel, first respondersand NGOs. We’re active in both the UK and US. Hybrid human-machine teams will be much more effective in protecting assets, people & planet at scale. For that to happen, we need our technology to be able to operate without depending on human attention or on vulnerable infrastructure. We specialise in advanced artificial intelligence (AI) for cameras and GNSS-denied navigation for manned and unmanned systems. Real time remote monitoring is difficult to achieve with people alone. The areas are often huge and distant, meaning hard-working maintenance, security or safety staff have poor coverage with long response times. Pipeline security, anti-poaching, asset integrity monitoring and border patrol are a few examples. Whilst we (humankind) have developed an impressive array of technologies, including drones and ground sensors, these remain tools to use at long range. These tools are dependent on: 1) human attention to make best use of them and 2) infrastructure to support them, with communications and positional information in particular. GPS has become increasingly easy to jam and to spoof. Not only that but the orbital infrastructure itself is at direct risk of vandalism.Archangel Imaging provides a complimentary solution stack to enable human-machine team work in the real world. These make machines smarter, more resilient in a changing situation and easier to work with in a human workflow. Xnaut AI co-pilots enable existing uncrewed drones, boats and rovers to make mission level navigation decisions based on live observed context. Designed to work when GPS is being spoofed or jammed, Xnaut GENIE Uniquely combines over 50 navigation methods to ensure reliable, resilient and accurate location data is provided to the system's autopilot. Argonaut smart cameras have been designed to operate independent of infrastructure. The camera and tower products are fully self-contained, with power, communications, sensors and compute. Cerebella human-machine teaming mission management software integrates diverse machines into people-centred geospatial workflows.