| Developers: | Cognitive Pilot |
| Date of the premiere of the system: | April 2024 |
| Branches: | Information Technology |
2024: Product Announcement
At the end of April 2024, the Russian company Cognitive Pilot announced the creation of a technology for controlling unmanned tractors without GPS and GLONASS. For this development, experts used artificial intelligence algorithms.
A technology called Cognitive Border Recognition allows you to recognize the boundaries of areas processed and unprocessed by technology, which in many cases are indistinguishable by humans, and navigate them through computer vision with centimeter accuracy. The neural network is able to highlight the key signs of the border separating the zones of the processed and unprocessed part of the field for all agricultural operations.
Previously, similar problems were solved using satellite navigation, however, with the departure of foreign manufacturers from the Russian market, GPS accuracy decreased several times. The problem of the lack of a GPS signal is especially acute in the south of Russia.
 | We used a neural network mechanism for clarifying boundaries, "says Gennady Savitsky, leading developer of Cognitive Pilot. - Based on the analysis of images received from cameras and the available signs of the boundary of the field areas, we have the opportunity to select the most likely zones containing this boundary, clarify the data on its presence and confirm such belonging. In other words, the network began to pay attention to even minor differences in the textures of the field and more accurately determine the boundaries. This is our know-how. Before us, no one has used it yet. |  |
According to Skolkovo Natalia Chernysheva, director of the AgroTech direction of the biomedical technology cluster of the "" foundation, autopilots are better than a person to recognize landmarks for the navigation of agricultural machinery thanks to sensors and intelligent ones. software The emergence of AI-based solutions for navigating agricultural machinery in areas with a weak GPS signal and its absence is difficult to overestimate, she commented.[1]
Notes
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