S m a l l S p a r k . U K

Edge-Based Data Fusion

  • Real-Time Insights

     – Edge-based processing reduces latency by >90%, enabling instant decision-making.
  • Lower Costs

     – Reduces cloud storage and data transfer expenses by up to 75%.
  • Ultra-Low Power

     – Optimised for battery-powered and remote systems, ensuring efficiency.
  • Enhanced Security

     – On-device encryption keeps sensitive data protected from cyber threats.

Edge-Based Data Fusion: Turning Raw Data into Actionable Intelligence

Industries today rely on vast amounts of sensor data, imagery, and telemetry, but without the ability to process and combine this data efficiently, valuable insights are often lost or delayed.

Edge-based data fusion enables systems to intelligently process multiple data streams in real time—directly where they’re generated—removing cloud dependencies, reducing latency, and enabling faster, more secure decision-making.

By shifting data fusion to ultra-low-power edge computing, SmallSpark ensures that critical insights are derived instantly, even in remote or high-risk environments.

Why Edge-Based Data Fusion?

:small_blue_diamond: Instant Decision-Making – Processing multiple data streams locally reduces latency by >90%, allowing for real-time insights without cloud delays.
:small_blue_diamond: Enhanced Situational Awareness – Fusing data from multiple sensors and sources enables a fuller, more accurate picture of events in industrial, security, and defence applications.
:small_blue_diamond: 75% Reduction in Cloud Costs – Only relevant, pre-processed data is transmitted to the cloud, reducing bandwidth usage and operational expenses.
:small_blue_diamond: Ultra-Low Power Efficiency – SmallSpark’s highly optimised edge processing allows data fusion to be performed on low-power, battery-operated or off-grid systems.
:small_blue_diamond: Real-Time Encryption & Security – Data is processed and fused locally, ensuring maximum privacy and protection against cyber threats.

  • Real-World Applications

    :white_tick: Manufacturing & Industrial Automation
    • Combining sensor data from multiple machines to predict failures and optimise factory efficiency.
    • Automated defect detection, cross-referencing visual, acoustic, and temperature data for highly accurate quality control.
    :white_tick: Aerospace & Defence
    • Multi-sensor fusion for aircraft and spacecraft, integrating radar, thermal imaging, and onboard diagnostics to improve navigation, tracking, and fault detection.
    • Real-time intelligence in defence applications, enabling threat detection and response without reliance on ground stations.

  • :white_tick: Smart Cities & Infrastructure
    • Traffic and environmental monitoring, fusing weather, pollution, and traffic flow data for efficient urban planning and management.
    • Smart energy grids, combining real-time load balancing, weather predictions, and power usage to optimise energy distribution.
    :white_tick: Autonomous Vehicles & Robotics
    • Real-time sensor fusion for self-driving cars and drones, integrating LIDAR, GPS, and visual data to improve navigation and safety.
    • Industrial robotics, optimising control systems by combining multiple sensor inputs for precise operations.

By processing and fusing data locally, SmallSpark’s ultra-low-power edge computing solutions ensure faster insights, greater security, and dramatically lower operational costs—enabling truly intelligent, real-time decision-making across industries.
:rocket: Discover how edge-based data fusion can transform your business. Contact us today to explore how SmallSpark’s technology can support your operations.