Working in any emergency scenario where buildings might not be accessible” saysĪlbanese. Plan to extend SARDO to emergency indoor localisation so it is capable of In the meantime, SARDO may undergo further advances. Interest, especially from the public safety divisions, but still no financialĭecision has been taken”. The possibility of commercialising this technology. The group is consulting the laboratory’s business experts on Tens of meters, requiring approximately three minutes to locate each victim. The drone was able to pinpoint the location of missing people to within a few In several field experiments without rubble and used simulations to test theĪpproach in a scenario where rubble interfered with some signals. Within their study, Albanese and his colleagues tested SARDO Interfering with the drone’s ability to locate victims, it’s programmed to Retrieve more accurate distance measurements. Person’s trajectory based on their current movement, kicks in – potentially helpingįirst responders locate the person sooner.Īfter sweeping an area, the drone is then programmed toĪutomatically manoeuvre closer to the position of a suspected victim to Of a disaster, a second machine learning algorithm, tasked with estimating the The algorithm compensatesįor when signals are blocked by rubble. Measurements to calculate the positions of victims. Time-of-flight measurements (using the timing of signals emitted by the users’Ī machine learning algorithm is then applied to the time-of-flight In order to detect and map out the locations of victims, SARDO performs Implemented regardless of what infrastructure remains after a natural disaster. Light-weight cellular base station, is a mobile solution that could be The key point is that a natural disaster may knock out cell “We built SARDO to provide first responders with anĪll-in-one victims localisation system capable of working in the aftermath of aĭisaster without existing network infrastructure support.” Antonio Albanese, a Research Associate at The European team built the platform, called Search-And-RescueĭrOne based solution (SARDO), using off-the-shelf hardware, and tested in inįield experiments and simulations. AI helps the drone methodically survey the area and even estimate the path of survivors who are moving. The idea is to use one single drone as a moving cellular base station, which can do large sweeps over disaster areas and locate survivors using signals from their phones. To support search and rescue efforts, a group of innovators in Europe has successfully utilised the power of drones, AI and smartphones, all in one unique combination. Skycharge will take that headache away, so you can speed your product to market – and get on with changing the world.In the unfortunate event of a natural disaster, first responders need to move quickly and efficiently in order to search for survivors. Too many products get bogged down trying to develop their own charging systems, rather than focusing on their unique technology and value proposition. NASA, enterprises, government entities, and renowned startups rely on our technology to automatically charge their drones and robots and keep their fleet operational – without human interaction. Since 2014, Skycharge has been dedicated to developing just such a product. To keep drones/robots operational, you need to keep them charged – something that requires a hefty investment of people and resources if you’re going to do it manually.Ĭreating your own automated system, can be a slow and frustrating process you need to develop, integrate, and harmonise a slew of system components, while satisfying rigorous reliability and safety standards. And on top of that comes autonomous charging, which is such a critical component to develop, iterate, and maintain, in order to keep your fleet operational.īut is there another option? What if there were a proven turnkey solution that could provide autonomous battery charging?

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