Use cases // Operating environments

Awareness where the airspace gets complicated.

Lamassu is designed for evaluation around defined sites where small drones create uncertainty and a passive, camera-first detection layer can add context.

Engagement // Site-specific evaluation Scope // Detection & tracking only

Fit before features

The environment defines the system.

Coverage geometry, weather, lighting, target profiles, operator workflow, and response policy matter more than a generic sensor specification.

Defense installations

Persistent perimeter awareness.

Evaluate passive optical sensing around a defined site without relying on a target to transmit Remote ID or another RF signal.

  • Camera placement and coverage geometry
  • Edge compute close to the sensor
  • Track output designed for future C2 integration

Critical infrastructure

Visibility over sensitive assets.

Add a detection and tracking layer around energy, utilities, ports, data centers, and other infrastructure where low-altitude activity matters.

  • Defined boundaries and priority sectors
  • Node health and alert corroboration
  • Integration requirements mapped early

Stadiums & public events

Temporary monitoring with a clear boundary.

Explore camera-first sensing around venues and events where deployment time, false-alert handling, and operator clarity are central constraints.

  • Temporary site survey and sensor layout
  • Event-specific operating windows
  • Human-reviewed detection workflow

Airports & aviation

Another signal around complex airspace.

Camera-first detection may complement existing awareness systems around aviation environments, subject to rigorous site evaluation and governance.

  • Operational and regulatory constraints first
  • Known traffic and background complexity
  • No autonomous identification or response claims

Correctional facilities

Detect delivery attempts near the boundary.

Evaluate optical observation around secure facilities where small drones may be used for contraband delivery and early awareness supports human response.

  • Priority approach corridors
  • Evidence-oriented observation logs
  • Detection-only, human-led response

Evaluation inputs

What we need to understand.

01

Site geometry

Protected area, observation points, obstructions, approach corridors, and practical sensor placement.

Environment
02

Target & conditions

Expected drone size, range, speed, altitude, weather, lighting, and background complexity.

Sensing
03

Operator workflow

Who receives an observation, how confidence is reviewed, and what action remains human-controlled.

Operations
04

System boundaries

Existing cameras, networks, C2 tools, data policies, and security requirements that shape an integration.

Integration

A qualified first conversation

Describe the site before we prescribe the system.

Tell us where low-altitude awareness breaks down today and what a useful observation would need to reach.

Discuss your environment