Computer Vision · Environmental
Drone Imagery Analysis System
A scalable CV pipeline processing high-resolution aerial imagery — detecting and segmenting trees, buildings and pipelines to automate monitoring across agricultural and industrial sites.
OpenCVPyTorchYOLOv8Mask R-CNNCOCO
70%
Labelling efficiency gain
Edge
Optimised for Jetson Nano
What we built
01
Modular CV pipeline
An architecture handling data ingestion through to model training.
02
Automated annotation
A YOLO pre-labelling tool with human review, cutting annotation time 70%.
03
Edge optimisation
Inference tuned for deployment on Jetson Nano hardware in the field.
04
Detection & segmentation
YOLOv8 for fast localisation, Mask R-CNN for pixel-level area measurement.
Next case study
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