Azat Akhmetyanov
Papers
2
Total Citations
7
H-Index
2
About
Azat Akhmetyanov is a robotics researcher specializing in multi-sensor synchronization and affordable computer vision systems for high-dynamic environments. His primary research focuses on enabling precise temporal alignment between smartphone RGB cameras, depth sensors, and inertial measurement units—a critical challenge for robotics applications requiring low-cost, portable sensing platforms. Akhmetyanov’s major contribution is the development of **SmartDepthSync**, an open-source Android application that achieves sub-millisecond synchronization between smartphone RGB and depth camera streams, as well as across multiple devices. This work, published in 2022, has garnered 4 citations and provides the robotics community with a freely available tool for building synchronized multi-view camera systems without expensive external hardware. His earlier 2021 paper on sub-millisecond video synchronization of multiple Android smartphones (3 citations) laid the groundwork by addressing the need for easy-to-setup, affordable multi-camera arrays. By democratizing access to high-precision temporal synchronization, Akhmetyanov’s research enables applications in 3D reconstruction, motion capture, and autonomous navigation using ubiquitous smartphone hardware.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sub-millisecond Video Synchronization of Multiple Android Smartphones3 citations · 2021