Recently, the 2025 China Information Industry Association Data Elements Application Innovation Competition Summary and Award Ceremony concluded successfully in Beijing. After multiple rounds of rigorous evaluation, Genenkosy stood out from 129 entries in the track "Digital Infrastructure Safeguards the Innovative Development of Data Element Applications" with its project "Intelligent Data-Driven Low-Altitude Security: Building a New Urban Safety Barrier," earning the second prize.

With the rapid development of the low-altitude economy, while drone applications empower society, they also bring security risks such as unauthorized surveillance and data leaks. Traditional "one-size-fits-all" countermeasures often inadvertently disrupt legitimate flights, creating an imbalance between safety and development. Genenkosy’s award-winning project directly addresses this governance challenge, aiming to leverage data intelligence to resolve the regulatory dilemma of "over-restriction stifling activity" versus "laxity leading to chaos."

At the core of the project lies Genenkosy’s self-developed LAS vertical domain model—"Wuqiong"—which enables clear visibility of airspace, accurate threat assessment, and effective control management. The system integrates heterogeneous data sources such as radar, radio frequency, electro-optical, and 5G-A to build a comprehensive, three-dimensional monitoring network covering the entire airspace. This significantly improves monitoring accuracy across different altitude layers and enhances target classification precision. Trained on eight years of real-world operational data, the algorithm features capabilities such as intelligent trajectory prediction and flight intent calculation. It can execute precise strikes against illegal targets while effectively avoiding interference with legitimate flights, thereby reinforcing safety safeguards while fully unleashing the value of airspace resources.

Genenkosy has always regarded industry data as a core asset. Early on, the company invested in data platforms, constructing a machine learning framework with real-time cleansing and autonomous learning capabilities. It also established a low-altitude big data lakehouse architecture, enabling efficient coordination between storage and computation. The system can process hundreds of thousands of flight data entries daily, dynamically identifying anomalies through continuous learning while strengthening the low-altitude security防线. This drives the industry’s management approach to transition from "experience-driven" to "data-driven."

Looking ahead, Genenkosy will continue to deepen the innovative application of data elements in the low-altitude domain. Grounded in safety and propelled by technology, the company aims to support the high-quality development of the low-altitude economy and contribute to building a secure aerial barrier for the Digital China initiative.