Computer Vision & AI

Overview

Our Computer Vision & AI solutions transform aerial imagery into actionable insights. We leverage deep learning, object detection, and semantic segmentation models to analyze real-world features such as vegetation, construction progress, terrain change, and infrastructure assets.

From precision agriculture to smart city planning, our AI-driven analytics help organizations make data-backed decisions with unprecedented accuracy.

Applications

  • Object Detection & Classification: Drones equipped with AI-powered vision systems can identify, classify, and track objects in real time from vehicles and people to vegetation and infrastructure components enabling safer, smarter, and more autonomous missions.
  • Automated Crop & Health Assessment: Using deep learning and spectral analysis, drones assess crop conditions, detect pests or diseases, and generate actionable insights to optimize yield and resource efficiency for precision agriculture.
  • Construction Site Monitoring: Computer vision enables drones to track construction progress, detect structural issues, and provide 3D mapping for efficient project management, site safety, and compliance verification.
  • Environmental & Disaster Analysis: During floods, wildfires, or earthquakes, drones with computer vision analyze real-time imagery to assess damage, locate victims, and support emergency response teams effectively.
  • Change Detection using Aerial Data: AI models compare multi-temporal drone imagery to monitor deforestation, urban expansion, or infrastructure changes with near-perfect spatial accuracy.
  • Wildlife & Habitat Surveillance: Drones assist ecologists by tracking wildlife populations and monitoring ecosystems without human interference reducing survey time and minimizing environmental impact.

Technology Stack