Beeline develops AI system to monitor aircraft maintenance

The Beeline Big Data & AI team has developed a solution based on computer vision for automatic monitoring of ground preparation of passenger aircraft. The system tracks all stages of work in real time.

Jan 30, 2026

A stock photo illustrates ground crew activities during aircraft maintenance at an airport terminal, highlighting the complexity of pre-flight checks.
Source:
Svitlana Hulko, iStock

Specialists from Beeline Big Data & AI have presented a system for automatic control of ground aircraft maintenance, based on computer vision technologies. This solution monitors the full cycle of work in real time — from aircraft reception to towing and final pre-flight preparation.

The AI system«s neural network analyzes real-time video to monitor and assess aircraft servicing procedures for safety compliance.
Source:
chuyu, iStock

Preparing an aircraft for departure is a complex multi-stage process that requires personnel and special equipment. Precise adherence to regulations and correct execution of operations are critically important for ensuring passenger safety and maintaining flight schedules. The implementation of an artificial intelligence model allows converting video data into a structured format for integration into management systems and minimizing the human factor.

The solution analyzes video streams from cameras installed in the parking area. A complex multi-model neural network is capable of tracking key operations, including:

site inspection;
refueling with fuel and water;
attachment of the jet bridge;
control rounds.

Algorithms recognize visual signs of each stage, for example, the appearance of an employee with batons, the arrival of a fuel truck, or the installation of a ramp. The system not only records the start and end of an operation but also evaluates the correctness of actions, their compliance with regulations, and measures the execution time.

“Video analytics is becoming an effective management tool in various operational processes today. In aviation, this is especially important due to high safety standards and strict regulations,” comments Konstantin Romanov, Director of Artificial Intelligence and Digital Products at Beeline. “Our solution allows automating the control of key stages of aircraft preparation. The neural network does not just record events, but forms structured data on the progress and quality of work, which can become the basis for the development of smart airport infrastructure management systems.”