Autonomous drone on station over outback terrain at sunset

Defence & Autonomous Systems

Canopy Observe

An enterprise platform for managing autonomous drone fleets, built by CANOPY.INC. AI-powered defect and anomaly detection using computer vision (YOLOv9, SAM-2, and DETR models), multi-drone swarm control, real-time telemetry, mission orchestration, and an integrated maritime safety management system.

4Core Software Modules
6Operational Capability Domains
24/7Command Visibility

Software suite

The software layers inside the platform.

Software 01

Fleet Orchestrator

The planning surface used by operations teams to coordinate swarm missions, assign aircraft, and stage mission sequences before launch.

  • Multi-drone swarm mission planning and no-fly constraint handling
  • Asset assignment and mission package templates
  • Contingency branching for return, reroute, or abort

Software 02

Live Telemetry & Command Console

The live operations dashboard for aircraft health, position, communications state, and incident escalation across the fleet.

  • Real-time vehicle status, signal, and battery health
  • Alerting for geofence, comms, and payload faults
  • Role-specific views for pilot, observer, and command

Software 03

AI Defect-Detection Engine

Computer vision pipeline that scans inspection footage for defects and anomalies, turning raw imagery into an actionable operational picture.

  • YOLOv9, SAM-2, and DETR models for defect and anomaly detection
  • Live video overlays with map-linked findings
  • Tagged captures for review, export, and audit

Software 04

Maritime Safety Management System

An integrated safety management layer for maritime and industrial operations, keeping inspection and observation missions accountable.

  • Safety case tracking for maritime and industrial sites
  • Incident logging linked to mission telemetry
  • Immutable mission logs for post-operation review

Capabilities

What the platform enables operationally.

Multi-drone swarm control

Dispatch and manage a fleet of aircraft from one control surface with clear state, responsibility, and alert ownership.

AI-powered defect detection

Run YOLOv9, SAM-2, and DETR computer vision models against inspection footage to surface defects and anomalies automatically.

Real-time telemetry

View payload feeds, position, and event markers without breaking operator focus during a live mission.

Mission orchestration

Plan, stage, and adapt inspection and ISR/observation missions across the fleet from a single console.

Degraded network continuity

Keep flying, tracking, and logging even when the network becomes partial or intermittent at the edge.

Maritime & industrial safety

Maintain the integrated safety management system alongside replayable mission history and captured artifacts.

Delivery stack

Implementation layers behind the product.

Frontend

React, Next.js, TypeScript, high-clarity operator UI, map-driven mission tooling, and role-sensitive interaction design.

Backend

Node.js and Python services for mission orchestration, swarm control, telemetry handling, and CV inference (YOLOv9, SAM-2, DETR).

Data

PostgreSQL, Redis, time-series telemetry storage, and mission replay datasets for audit and analytics.

Infrastructure

Dockerized deployment, edge continuity for degraded-network operations, observability, and secure release workflows.

See how the same engineering discipline applies to SaaS and AI products.

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