Technology Overview
The REVA® In-Vitro is designed for the precise analysis of liquid samples. Utilising cutting-edge machine learning algorithms, this compact device delivers fast, accurate results displayed on an OLED screen, making it ideal for in-vitro assessments such as water quality testing and honey purity detection.
REVA In-Vitro is a portable, user-friendly platform for precise liquid analysis, integrating multi-spectral (NIR and UV-Vis) spectroscopy with machine learning to deliver rapid, reliable assessments across multiple applications, displayed in real time on its OLED interface
Key Features
The REVA In-Vitro is equipped with advanced features that enhance its functionality, precision, and versatility, making it an essential tool for liquid sample analysis across various industries:
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Multi-Spectral Analysis
Employs Near-Infrared (NIR) Spectroscopy and UV-Vis Spectroscopy to evaluate liquid parameters.
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Multi-Spectral Analysis
Employs Near-Infrared (NIR) Spectroscopy and UV-Vis Spectroscopy to evaluate liquid parameters.
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Portable Design
Small, lightweight, and powered by a rechargeable battery for on-the-go operation.
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OLED Display
Provides high-contrast, real-time data visualisation.
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Quantised Machine Learning Algorithm
Ensures highly accurate predictions of liquid sample characteristics.
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Edge Computing
Performs on-device processing for speed and independence from external systems.
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Sample Preparation Module
Integrated unit simplifies handling and preparation of test samples.
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Rechargeable Battery
Long lasting power supply for extended field or laboratory use.
Technology Benefits
Analyser Features:
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Real-Time Insights
Provides immediate analytical results, reducing turnaround time.
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Multi-Parameter Capability
A single platform can measure multiple quality indicators.
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Portable & Scalable
Compact design supports deployment in diverse environments.
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AI-Enhanced Accuracy
Integrated machine learning models improve continuously.
REVA In-Vitro is designed for the precise analysis of liquid samples. It applies advanced machine learning to produce fast, reliable results directly on its OLED screen. The technology supports multiple applications, including honey purity detection and water quality monitoring.
Applications
Quality Testing Types:
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Honey Purity
Detects adulterants and ensures product authenticity.
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Water Quality
Assesses physical and chemical properties and identifies contaminants.
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Biochemical Analysis
Analysis urine samples to evaluate hydration and identify haematuria.
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Cooking Oil
Assesses purity, freshness, and potential adulteration in edible oils.
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Halal Authentication
Supports halal compliance by identifying non-permissible contaminants.
