OpenMV
Shields
Lens
Robotics
Book
Video
Download
Docs
Forum
OpenMV.io
GithubIn reconnaissance, mapping, and target tracking missions for fixed-wing UAVs, the system is required to possess capabilities for real-time target recognition, continuous tracking, and angle information feedback.
Traditional vision modules demonstrate weak recognition stability during high-speed flight and in complex backgrounds, and lack angle output interfaces, making it challenging to achieve precise target localization and feedback control.
To this end, drone manufacturers have introduced SingTown's OpenMV intelligent camera recognition technology, integrating AI machine vision, target tracking algorithms, and angle feedback functions to build an intelligent aerial target recognition and positioning system.

Unmanned aerial vehicle manufacturers utilize SingTown Technology's OpenMV intelligent camera recognition technology to achieve real-time target detection, automatic tracking, and angle feedback output.
The camera module is integrated with the gimbal and installed beneath the fuselage of the fixed-wing drone. During flight, it employs image recognition and neural network training algorithms to continuously lock onto targets such as vehicles, individuals, or markers.
After locking onto the target, the gimbal automatically adjusts its tracking based on image offset and outputs the target's azimuth and elevation. These angle data are transmitted back to the ground station or main control microcontroller via serial port or wireless link for attitude adjustment or navigation control.
The system maintains high stability during flight, with recognition distance adjustable based on lens focal length and environmental conditions, adapting to variations in aerial lighting and background complexity.
By harnessing the edge-side AI computing and image processing capabilities of OpenMV, the system can perform edge detection, angle output, and communication feedback without requiring an external computer.
Through SingTown Technology's machine vision intelligent camera recognition technology, drone manufacturers have successfully achieved real-time tracking and angular feedback positioning of single targets, providing an efficient and low-power embedded vision solution for tasks such as aerial surveillance, precise delivery, and intelligent navigation.

AI Sentinel Based on OpenMV: Automatic Alert for Unlocked Key Locations
Automatically detects whether the door of a key location has remained open for an extended period and issues a timely alert.

Personnel crossing the boundary triggers an alarm; OpenMV defines the “sense of security boundary.”
Detecting personnel or equipment crossing boundaries via virtual alert lines.

“AI城管” is here: An automated system for detecting illegal street vending, built on OpenMV
Automatically identifies illegal street vending activities to support daily urban governance.

Is the gas cylinder placed haphazardly? Use OpenMV to automatically trigger a hazard alert
Automatically identifies unauthorized placements of gas cylinders to detect potential gas safety hazards in advance.

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

Utilizing the OpenMV smart camera to detect surface defects on aluminum plates in real time
Online detection of surface defects on aluminum plates, such as scratches and dents, to support quality control.