Software & Algorithms
Non-Contact Fluid Level Detection in Opaque Containers (No. T4-2469)

19393
Overview

A novel AI-powered imaging technology that accurately determines fluid levels in opaque containers. It employes a speckle-based vibrational imaging system using a cost-effective camera-laser system and a deep learning-based inference. Unlike traditional, costly methods such as Laser Doppler Vibrometry (LDV), this solution offers scalability, ease of deployment, and cost-effectiveness. It addresses significant market demands for precise, simple, and non-invasive fluid monitoring across various industrial applications.

Applications
  • Building and infrastructures: Structural monitoring and fault detection.
  • Food, beverage, and pharmaceutical industries: Non-invasive fluid level checks, authentication & contamination detection.
  • Industrial and manufacturing: Hazardous Leak detection, packaging integrity, real-time production quality assurance.
  • Healthcare diagnostics: Remote monitoring of physiological signals (pulse, blood pressure, breathing).
  • Potential survivor detection in disaster zones.
Differentiation
  • Simultaneous 2D grid scanning, high speed & accuracy
  • Cost-effective & scalable
  • Advanced AI-based inference
  • Adaptable to varied fluids, containers, and sensing tasks
  • Quick and simple 

Development Stage

The technology has been demonstrated for fluid level detection in opaque containers using multi-point vibration sensing in laboratory settings. Hardware and transformer-based AI components thoroughly validated, with ongoing research aimed at expanding applications and facilitating commercial deployment.

 Mark Sheinin

Mark Sheinin

Faculty of Mathematics and Computer Science
Computer Science and Applied Mathematics
All projects (1)
Contact for more information

Nir Stein

Director of Business Development, Exact Sciences

+972-8-9345164 Linkedin