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Flow and Fluid Contamination Diagnostics

SpoilEye is a spoilage detection system developed to monitor temperature-sensitive materials in storage and transit. Using embedded sensors and wireless alerts, it enables real-time tracking to prevent material degradation and ensure supply chain integrity.

The “SpOilEye” system extends FTL Labs Corporation fluid analysis capabilities and establishes the most efficient, cuvette based fluid screening approach, powered by advanced machine learning algorithms. The Fluid Monitor system enables rapid video imaging of contamination droplet and particulate matter in any non-opaque fluid such as fuels, oils, lubes and aqueous solutions, providing consistent and repeatable detection and classification.

The Fluid Monitor uses machine vision and AI learning algorithms with microscope video imagery to determine size, shape, classification, and number of droplets and particles. Automatically generated test reports show actual captured particle and droplet imagery. Unlike particle counters, the Fluid Monitor uses high resolution images for much greater diagnostic accuracy enabling differentiation between droplet and solid contaminants.

The benefits of the Fluid Monitor system include:

  • Rapid fluid analysis and reporting of sediment and droplet contaminant levels for system failure prevention.
  • Low cost: Comparable to mid-range particle counters.
  • Analyzes fuel, oil, or other fluid directly using a standard glass cuvette.
  • Provides discrete particle and droplet images for further system diagnostic purposes.
  • Uses machine vision and AI learning algorithms to detect droplets and particles in microscope video imagery.
  • The Fluid Monitor is the ideal analyzer for a wide range of contamination or process monitoring applications from large hydrant systems to small lab-based quality control testing.
Date Project Started: 05/28/2021
Date Project Completed: 02/24/2022
Customer: DLA and Commercial Customers
Grantor: DCSO