OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
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 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 intelligent 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 perform centimeter-level precision landing.

Intelligent flight equipment manufacturers have adopted SingTown Technology's OpenMV smart camera to construct a high-precision visual guidance system for autonomous fixed-point landing of unmanned aerial vehicles.
This system utilizes the OpenMV intelligent vision module installed at the bottom of the drone to capture real-time ground imagery. It employs built-in AI image recognition algorithms and spatial geometric calculation models to swiftly identify ground targets (such as enlarged AprilTag or custom landing markers) and estimate 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 corrections during the drone's landing process.
SingTown Technology's OpenMV smart 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 the SingTown technology hardware and software platform, intelligent flight equipment manufacturers can quickly 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.

AI Sentinel Based on OpenMV: Automatic Alert for Unattended Key Locations
Automatically detects whether the doors of key locations remain open for an extended period and issues timely alerts.

Personnel crossing boundary triggers alarm; OpenMV interprets “sense of security boundary”
Detects personnel or equipment crossing virtual perimeter lines.

“AI City Management” is Here: An Automated Obstruction Detection System Built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Improper Storage of Gas Cylinders? Use OpenMV to Automatically Trigger Hazard Warnings
Automatically identifies non-compliant placement of gas cylinders to proactively detect gas-related safety hazards.

Did you perform live-line work without wearing insulating gloves? OpenMV will immediately alert you!
Automatically identifies whether personnel are wearing insulating gloves to assist in safe operations.

Utilise the OpenMV smart camera to detect surface defects on aluminium plates in real time
Online identification of defects such as scratches and dents on aluminium plate surfaces to support quality control.