ScanTech Identification Beam Systems


Developer and manufacturer of non-intrusive security screening systems that combine fixed-gantry computed tomography (CT) hardware, multi-energy X‑ray physics, and machine learning to detect explosives, narcotics, radioactive material and other contraband in baggage, cargo and mail. The company describes capabilities in hardware design (fixed-gantry CT and high-energy cargo scanners), algorithmic material discrimination, simulation and synthetic-data-driven AI model development, and regulatory compliance for aviation and security checkpoints.

Industries

apps
electronics
manufacturing
security-4c60
venture-capital-b37d

Nr. of Employees

small (1-50)

ScanTech Identification Beam Systems

Buford, Georgia, United States, North America


Products

SENTINEL CT checkpoint baggage inspection system

Fixed-gantry CT baggage inspection platform with multi-plane architecture, automated material discrimination, 3D volumetric analysis and operator image manipulation for threat localization.

ALL SECURE multi-energy cargo inspection system

High-energy cargo inspection system using quad-energy X‑ray spectra (3–10 MeV) and multi-energy material discrimination to locate and identify materials inside large containers.


Services

Deployment and integration of CT-based screening systems

On-site deployment and integration of fixed-gantry CT and cargo inspection systems with baggage or mail handling infrastructure.

AI model development and algorithm upgrades

Development and refinement of AI detection algorithms using live and synthetic data, and delivery of software upgrades for improved detection performance.

Expertise Areas

  • Security screening system engineering
  • Computed tomography for non-intrusive inspection
  • Multi-energy X‑ray physics and material discrimination
  • AI/ML model development for imaging and threat detection
  • Show More (3)

Key Technologies

  • Fixed-gantry computed tomography (CT)
  • Multi-energy X‑ray imaging
  • Electron-beam-generated high-energy X‑rays
  • Machine learning for material discrimination
  • Show More (3)

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