SprayQuantAI® · ParticleTensorAI® · SprayConeAI®

AI-Based Optical Measurement Systems for Sprays, Droplets and Particles

ai-quanton develops optical measurement systems for characterizing droplets, particles and sprays. Our platforms combine optical measurement technology with AI-based analysis for research and process monitoring in automotive applications.

ProductsContact

SprayQuantAI® SQA1 with LSS1 measurement probe and ZEON control unit
SQA1LSS1 + ZEON

Our technolgy is protected by four patent applications and three registered trademarks.

Partners and Collaborations

Partners and Collaborations →
  • RWTH Aachen University
  • Technische Universität Darmstadt
  • NASA
  • Karlsruher Institut für Technologie
  • ITC – Institute for Technical Chemistry
  • University of Maryland
  • ABB
  • Universität Heidelberg
  • Kirchhoff-Institut für Physik
  • MeiLuft
  • Chalmers University of Technology
  • UCL
  • Duale Hochschule Sachsen
  • AOM Systems
  • Universidade de Coimbra
  • DYNEXA
  • HAW Hamburg
  • AKEMI
  • WAGNER
  • ANEST IWATA

01 — Products

Our Technology Platforms

SprayQuantAI® SQA1

SprayQuantAI®

SprayQuantAI® characterizes individual droplets in sprays and flows. Depending on the configuration, it measures droplet size, velocity and number using classical or AI-based calculation.

Explore SprayQuantAI®
ParticleTensorAI® PTA1

ParticleTensorAI®

ParticleTensorAI® analyses time-resolved light-scattering signal sequences as multidimensional data. AI models evaluate patterns in these data for spray or droplets characterization.

Explore ParticleTensorAI®
SprayConeAI® 3D spray pattern

SprayConeAI®

SprayConeAI® is a web-based tool for analysing spray cones and spray patterns from images captured with a smartphone, tablet or computer.

Explore SprayConeAI®

03 — Measurement Principles

From Light Scattering to Measurement Information

Our technology is based on incoherent light scattering from individual droplets or particles. Optical instruments record the resulting light-scattering signatures, including their temporal structure. AI-based analysis uses this information to determine properties such as droplet size, velocity, composition and concentration, depending on the measurement configuration and model.

PlatformInput dataOutput data
SprayQuantAI®Time-resolved signals from individual dropletsDroplet size, velocity and number
ParticleTensorAI®Buffered light-scattering signal sequences of dropletsTensor light scattering for labeling
SprayConeAI®Images of sprays and spray patternsSpray cone parameter
Ray tracing of light scattering at a droplet
Droplet size distribution
Particle tensor of buffered light-scattering signals

04 — Spray Analysis · Spray Monitoring

AI for Spray Analysis and Spray Monitoring

Our products address two main tasks: AI-based spray analysis and AI-based spray monitoring.

Spray Analysis

In spray analysis, the focus is on determining droplet properties and their distributions to understand and characterize the spray.

Spray Monitoring

In spray monitoring, the user teaches the system a reference spray condition. During operation, the AI compares the measured signals with this reference to detect deviations and help maintain stable process conditions.

Discuss Your Measurement Task

Tell us which droplets, particles or process changes you want to characterize. We can help define the detector configuration, optical setup and evaluation method for your application.