| Developers: | Cognitive Pilot |
| Date of the premiere of the system: | November 2021 |
| Branches: | Mechanical Engineering and Instrument Engineering |
2021: Announcement of a tool for calibration of unmanned agricultural equipment
In early December 2021, Cognitive Pilot introduced the Cognitive Smart Calibration tool, designed to calibrate unmanned agricultural vehicles. According to the developers, the new system reduces the cost of autonomous control of combines and tractors by 10-15%, and maintenance and downtime by 15-20%.
As explained in Cognitive Pilot, agricultural work requires centimeter accuracy, so engineers had to tune the pilot. With the advent of the Cognitive Smart Calibration system, the process was reduced to pressing two buttons.
The Cognitive Smart Calibration technology, based on continuous monitoring and analysis of the flow of data from video cameras, odometry sensors and other sensors, allows you to automatically determine the current accuracy of their calibration and, when it begins to exceed the threshold, automatically recalculate the settings as they would have been during accurate calibration. After that, also automatically, invisibly for the user, the settings of the robot control system are updated, where the parameters of the sensor calibration data are set accurately.
In addition to the initial calibration of the sensors performed at the start-up stage of the Cognitive Agro Pilot autopilot, Cognitive Smart Calibration technology also allows you to robotic the process of setting control parameters during the operation stage of the system, since during operation these parameters can change due to vibration, temperature change, sensor collision with any objects, for example, tree branches and other reasons.
The technology also allows you to optimize various parameters of the robot control system, taking into account the accumulation of useful statistics during its operation.
The installation of Cognitive Smart Calibration technology on smart tractors and combines will begin in 2022.
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