YfantisTech LLC


	This is one of the MALE (Medium Altitude Long Edurance) UAVs we have designed, with electric motor and 2-junction solar film. Our company has software-hardware tools for the design, building, and testing of MALE and HALE (High Altitude Long Endurance) UAVs. In addition to the Navier-Stokes equations, we work with the directional spectrum to get a better understanding of the effect of turbulence on flight and structural characteristics of the UAV. We also have been investigating the frequency where the maximum value of the directional spectrum of the turbulence occurs and its relationship to the resonance frequency of the airplane. Depending on the mission of the aircraft and the flight ceilling, flight duration, weather conditions, sensor requirements, control communication range, telemetry, video communication requirements, machine vision and autonomy requirements, the airplane-electric-motor-solar-panel-propeller can be optimized to meet those requirements in the most efficient way. The propeller knowhow used for the UAVs it is also being used for our wind turbine technology.
	Commercial-off-the-shelf (COTS) brushless motors come in a variety of dimensions, power, and they pair well with multitude of propellers. At first it seemed a waist of valuable time and money to invest for developing new electric motors. It turns out that for long edurance high performance, and also to make sure that the size of the motor fits with the over all design of the UAV or wind turbine is best to design a state of the art highly efficient motor. Having high performance rare earth permanent magnets for the rotor, and the optimal design for the rotor-stator in order to maximize the power from the solar pannels and/or battery, minimize the wait of the motor, fit on the UAV withought compromizing the UAV design, and also optimize the motor-propeller design to maximize the produced thrust. Solving this problem is a never ending process. The knowledge obtained from this technology applies also to our wind turbine technology.
	The design of antennas for efficient signal propagation is one of the very important problems that our company is investing intellectual power and money. Radio Frequency vs Light Frequency, or usage of both, is one of the problems we work on. Ground station design, autonomy, easy graphics user interface showing the position of the aircraft(s) on a map and enabling manual aircraft control by using touch screen and GUI to control the speed, and the control surfaces of the airoplane is one of the user friendly characteristic of our ground station software. Other characteristics is first person view (FPV), stereo view, virtual reality (VR) and mixed reality (MR) view, computational photography, and storage of the video and telemetry data in RAID array file server with hot swap disks. Proper transceiver and signal amplifier choice, new transmission control protocol design, along new innovative forward error correction algorithms for transmitting control data. The objective is to provide an innovative design for very long distance transmission of control data from the ground station to the airplane.
	Electronic design is a very important part of our research and development. That includes electronic speed controller, electronic controller board to enable the user to control the aircraft, the cameras, LiDAR, and other sensors manualy, or switch to autonomous mode and control them automatically based on input obtained from their environment and AI. electronics for video and other sensor capture, video compression, cryptography of the information, forward error correction, implementation of cognitive radio transmission with capabilities of testing the candidate transmission channels using real time statistical tests to decide if a canditate channel is available or not. Intelligent techniques to decide transmission interference, jamming detection, also detection of the type of jamming, and techniques for jamming avoidance. Our software hardware solution combines camera and LiDAR data to resolve distances to create stereo vision, and facilitate computational photography.
	Machine vision, Machine learning, Artificial Intelligence, Pattern recognition, Ontolology are a major components of our technology. We are in the process of incorporating a variety of neural networks in our hardware for real time classification of the entities on the ground viewed by our cameras. In order to ensure that our intelligent system improves over time, we inspect our database every so often to find all the cases that our intelligent system has missclassified. We label them with the correct label and we mix them in a random fashion with the images we used to train our intelligent system and we retrain them. The additional information used to retrain our neural networks reduces the missclassification error, it increases the probability of correct classification and therefore continuously keeps improving the intelligent system. Autonomy is one of the features that will be part of the intelligent components of our system. We incorporate intelligent path algorithms minimizing the energy consumption, based on genetic algorithms. In addition to that we are working on number of intelligent algorithms providing different degrees of autonomy. Also we are working on course grain intelligent algorithms and fine grain intelligent algorithms at the ontology level.
	Forests and wildlands in general are devastated by fires. Wildfires increase the release of carbon in the air and have a very negative effect in the environment. Many of these fires are man-made. Often times people camp in places not assigned for camping and start a fire to cook or stay warm at night, or smoke and dispense their cigarettes withought puting them out first, so this careless behaviour often times starts a fire with devastating effects to the forest, wildlife, people with houses and other property in the area, and of course the environment. Our intelligent technology is designed to help reduce the occurrence these events. Thus it provides continuous surveilance of the forest and is looking for possible causes of fires. It captures environmental data including humidity, air temperature, barometric pressure, and a few others. It also recognizes areas of the forest or wild land in general that are dry wood that under the friction due to wind conditions could start a fire. It recognizes people engaging in activities that could instigate a fire. These are some of the alarm events that our intelligent system generates and brings them to the attention of the authorities responsible for the forest. In case of a forest fire our aircraft shows the extend, the direction and the rate of change of the fire in order to help the firefighters to fight the fire. Our aircraft has a network router and proper communication antennas to facilitate communications between the people fighting the fire in case the ground communication infrastructure is destroyed by the fire. Our technology has many other applications.

YFANTISTECH LLC

email: yfantis@yfantistech.com