Building a Drone-Based Security Reconnaissance System with Computer Vision
Blog post from Roboflow
A drone-based security system utilizes MediaMTX to process PTZ camera and drone feeds, sampling frames every two seconds for analysis by a Roboflow Inference Server running RF-DETR to detect people and cars, thereby automating the tracking of intruders in restricted zones without human intervention until an alert is triggered. The architecture involves streaming video through MediaMTX, sending frames to FastAPI workers, and using a combination of PolygonZone and ByteTrack to confirm breaches, which then dispatches a drone to the site. The design simplifies integration by using lightweight services and keeping computer vision concerns separate, enhancing efficiency through frame sampling and JPEG encoding at reduced resolutions. This approach leverages pre-trained models with the flexibility to switch to fine-tuned models for specific detection needs, such as aerial perspectives, by utilizing Roboflow's ecosystem for labeling and training datasets. The system demonstrates the potential for drones to cover expansive areas more efficiently than fixed cameras, offering a practical and adaptable solution for perimeter security.
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