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GithubIn autonomous drone flight, precise landing is a crucial aspect for achieving intelligence and safety. Traditional landing methods relying on GPS or inertial navigation often lack sufficient accuracy in densely built areas, signal-blocked environments, or complex terrains, leading to drift and errors.
To enhance landing precision and autonomous decision-making capabilities, intelligent flight equipment manufacturers have integrated SingTown's OpenMV smart camera AI image recognition technology. Through machine vision, AI image recognition, and edge-side AI visual algorithms, real-time identification and guidance control of ground targets are achieved, enabling drones to accomplish centimeter-level precision landing.

The intelligent flight equipment manufacturer has adopted SingTown's OpenMV smart camera to construct a high-precision visual guidance system for autonomous fixed-point landing of drones.
This system employs an OpenMV intelligent vision module installed beneath the drone to capture real-time ground imagery. Utilizing built-in AI image recognition algorithms and spatial geometric calculation models, it swiftly identifies ground targets (such as enlarged AprilTag or custom landing markers) and estimates the drone's relative distance and angle to the target in real time. Based on machine vision positioning and attitude compensation algorithms, the system can detect ground targets from altitudes of 60–80 meters. Through continuous frame analysis and IMU data fusion, it achieves dynamic adjustments during the drone's landing process.
SingTown OpenMV intelligent camera possesses embedded edge-side AI computing capabilities, enabling high-speed recognition and processing locally without reliance on cloud servers, with a response latency of less than 200 milliseconds. The camera's automatic exposure and white balance functions effectively ensure recognition stability under varying lighting conditions and ground reflections.
The edge deployment capability of this solution enables flexible and seamless integration with drone flight control systems, outputting real-time pose information through standard communication protocols (such as MAVLink) to achieve autonomous landing control. Leveraging SingTown Technology's software and hardware platform, intelligent flight equipment manufacturers can rapidly integrate low-power, high-precision embedded vision modules, significantly enhancing the environmental perception capabilities and flight safety of drones.
Through SingTown Technology's OpenMV intelligent camera recognition technology, drones achieve an intelligent flight upgrade from "GPS navigation" to "AI visual guidance," providing solid technical support for future low-altitude intelligent connectivity and autonomous flight.

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