Backed by ScienceBuilt for Real-World Impact

GYROSEC

Revolutionizing Detection of Explosives and Narcotics.

Gyrosec Device

Why Choose This Tech?

Our portable spectroscopic detection system combines the power of photonics & AI to deliver real-time, high-accuracy identification of threats including explosives, narcotics & more.

1

Instant Detection

The hallmark of Gyrosec is its effortless usability. With the click of a button, one can scan a liquid, solid or gel and obtain its specific chemical composition in seconds, all the while maintaining a safe distance thanks to its world-first stand-off detection capability of up to 10 cm.

2

Molecular Structure Detector (MSD)

Gyrosec is a first-of-its-kind device capable of detecting the molecular structure of samples across various mediums such as solids, liquids, and gels. Unlike any other machine, it can precisely identify the exact contents of a sample and determine whether they contain any dangerous substances.

3

Accurate

A custom-built spectroscopy system combined with tailored software integrated with AI empowers Gyrosec to identify all chemical composition present in a sample with high accuracy and sensitivity, using a non-destructive method that minimizes false alarms for reliable threat detection.

4

Powered by AI

Gyrosec identifies known threats using a comprehensive threat database, and uniquely combines laser spectroscopy with AI to detect emerging unknown threats like new explosives and drugs. This ensures proactive security by anticipating evolving risks with precision and intelligence.

5

Detection Capabilities

While Gyrosec is highly effective at detecting explosives, narcotics, and other dangerous items, its customizable design and robust software capabilities also allow it to address broader applications such as pharmaceuticals, chemical warfare agents, and pesticides to name a few.

Applications in Security & Safety

  • Detection of Explosives and Hazardous Chemicals
  • Non-invasive Screening through Sealed Containers
  • Real-time Identification in High-stakes Scenarios