Drone-imagery workflow
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AI · Case study
Drone-led computer vision for pest-control inspection and field intelligence.
FocusAI
Core stackComputer vision
Workstreams3
StatusDelivered
Overview
What we built
Inspecting large areas for pest-control signals on foot is slow and inconsistent. This project used aerial drone imagery together with computer vision to survey the field from above and surface the indicators that matter for inspection decisions.
The workflow was designed to be repeatable: capture imagery, analyse it for the relevant signals, and produce field-level intelligence teams can act on. It turns an ad-hoc inspection into a structured, model-driven process.
Technology
What we delivered
Computer-vision analysis
Field inspection signals
How we approached it
A disciplined path from problem to working system.
Understand
We start with the users, the data, and the systems already in place.
Shape
We define the outcome and the technical approach before building.
Build
We deliver in visible increments with engineering quality throughout.
Operate
We support, observe, and evolve the system after it ships.
Outcome
A repeatable aerial-inspection workflow for identifying pest-control signals in the field.
Related work
More AI projects.
Let’s build what matters