MIL-OSI Russia: Scientists and NSU graduates have developed an algorithm for controlling a swarm of drones using the “detection-delivery” scheme

Translation. Region: Russian Federal

Source: Novosibirsk State University – Novosibirsk State University –

Scientists from NSU, engineers from Smart Drones LLC (SmartDrones platform) and specialists from the Siberian Fire and Rescue Academy of the State Fire Service of the Russian Emergencies Ministry presented a joint development — an algorithm for controlling a swarm of drones, online detection and determination of the coordinates of detected objects using AI. The technology was tested at an off-site meeting dedicated to the introduction of innovative technologies in the work of agricultural producers, which took place in the Ordynsky District on June 20 with the participation of Deputy Governor of the Novosibirsk Region Irina Manuilova, Minister of Science and Innovation Policy of the Novosibirsk Region Vadim Vasiliev and Minister of Agriculture of the region Andrei Shindelov. The off-site meeting of representatives of science, developers of advanced technologies and innovative projects was held at the production site of Dary Ordynska OPKh LLC.

The researchers demonstrated the ability of drones to interact in space using the detection-delivery scheme, distributing tasks: one of them detects an object, determines and transmits coordinates to another drone, which carries out delivery according to the specified coordinates. The control algorithm can be scaled to any number of devices and different types of recognized objects.

The joint development is the result of agreements that were reached after testing drone delivery in April. Then, a new model of an unmanned aerial vehicle, developed by NSU scientists for delivering goods to hard-to-reach areas, successfully covered a distance of 4.5 km across the Ob River and delivered the goods to their destination. The test flight was part of the first tests in Siberia of SmartDrones Fires technology for detecting and extinguishing fires using a swarm of drones and AI technologies, jointly with the Main Directorate of the Ministry of Emergency Situations of Russia for the Novosibirsk Region.

— Based on the results of the tests, we decided to combine the two technologies and try to work them out in a complex, namely: one drone, controlled using specialized SmartDrones software developed by our company, automatically analyzes data from a video camera, detects a person and transmits his coordinates to the second drone developed by NSU. The second UAV automatically delivers the necessary parcel, which may include water, medicine, etc., according to the specified coordinates. In two months, we took the necessary steps for integration and presented the new technology in action at an off-site meeting that took place at the end of last week, — said Alexey Meleshikhin, founder of the Smart Drones company, a graduate of the Physics Department of NSU.

In the future, NSU researchers and engineers from the SmartDrones startup will work together to improve the technology for controlling a swarm of drones using the “detection-delivery” scheme and plan to create a full-fledged digital platform that will find application in various areas – agriculture, tourism, emergency prevention, etc.

— Now we have worked out the interaction of two drones and tested the algorithm “detection and delivery of water”. We have shown how the automatic data transfer from the first drone to the second one works, so that the latter arrives at these coordinates and makes the delivery. In the future, we plan to conduct testing on a larger number of devices, when we can have several drones, each of them monitoring its own square and solving the problem of detecting different types of objects that need different types of delivery – water, medicine, life jacket, etc. In the future, the technology can be scaled to an unlimited number of devices. In addition, the platform being developed will allow drones to make various joint decisions. For example, to calculate the distance of an object and determine who will fly to it faster and deliver, for example, a first aid kit to a victim; what to do in case of loss of communication with one of the UAVs, etc. All these algorithms will be worked out and implemented on the basis of the SmartDrones digital platform, — explained Alexey Meleshikhin.

The Smart Drones company, founded by NSU graduates and developing the SmartDrones Fires hardware and software complex for automatic fire detection and calculation of the forces and means required to extinguish them using a swarm of drones and AI technologies, is a resident of AkademPark and the winner of the spring, 30th, anniversary accelerator A:START.

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