Intelligence Surveillance

INTELLIGENCE & SURVEILLANCE

Computing Systems for Intelligence & Surveillance

Configurable computing platforms for sensor integration, data capture, video processing, analysis, visualization, and intelligence workflows.
Mission-Critical ReliabilityRugged ComputersTactical CommunicationsSituational AwarenessPrecision OperationsSecure NetworkingHigh-Performance ProcessingHigh-Speed StorageSensor Integration
INTELLIGENCE OPERATIONS

Computing Across the Intelligence Workflow

Intelligence and surveillance environments can bring together multiple data sources, sensors, networks, displays, storage systems, and processing workloads within a single operational workflow.
Computing Across the Intelligence Workflow From Data Collection to Analysis

Intelligence & Surveillance Computing Capabilities

Intelligence and surveillance workflows can combine data acquisition, processing, visualization, storage, networking, and multiple external systems. Computing resources should be configured around how information moves from collection through analysis.

Operator Workstations

Portable, rackmount, and multi-display configurations can support different collection, monitoring, analysis, and operational environments.

Processing & Visualization

Processing, graphics, memory, and storage can be configured around imagery, mapping, video, sensor data, visualization, and analytical workloads.

Sensor Integration

Sensors, cameras, networks, communications equipment, storage, displays, and specialized peripherals can influence the required system architecture.

Operational Deployment

Platform selection should account for operator location, available space, connectivity, installation, mobility, and the environment where analysis or monitoring occurs.

Intelligence & Surveillance Applications

Intelligence and surveillance workflows can span data collection, monitoring, analysis, visualization, and information distribution. Computing platforms provide the processing and integration foundation connecting sensors, data sources, operators, and operational systems.

Intelligence Analysis

Support analytical workflows involving imagery, mapping, sensor information, multiple data sources, and visualization for operator review and assessment.

Video & Imagery Exploitation

Provide processing and visualization resources for reviewing video, imagery, geographic information, and other visually intensive data sources.

Sensor Monitoring

Support continuous monitoring workflows involving optical systems, remote sensors, communications equipment, and incoming operational data.

Distributed Intelligence Operations

Connect collection points, analytical resources, communications infrastructure, and operators across distributed operational environments.

Define the Intelligence Workflow Before the Configuration

Intelligence and surveillance systems depend on the relationship between data sources, processing, storage, visualization, and connectivity. Define that workflow before selecting the computing platform.
  • Collection & Analysis Role
    Define whether the system supports collection, monitoring, processing, analysis, visualization, recording, or another intelligence workflow.
  • Sensor & Data Sources
    Identify cameras, sensors, networks, communications systems, stored datasets, and other information sources feeding the platform.
  • Analyst & Display Workflow
    Determine display count, visualization requirements, simultaneous data sources, operator interaction, and peripheral needs.
  • Processing & Storage
    Establish processing, graphics, memory, storage, recording duration, and data-handling expectations.
  • Network & I/O
    Document network interfaces, sensor connections, capture hardware, external systems, peripherals, and required expansion.
  • Deployment & Program Requirements
    Capture operating location, integration constraints, documentation, configuration management, deployment schedules, lifecycle, and support expectations.

Building an Intelligence or Surveillance Computing Workflow?

Share your sensor and data sources, processing requirements, storage needs, visualization workflow, connectivity, and deployment environment. We can help define the computing architecture around the application.
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