VJ Technologies, Inc.
Provider of industrial X‑ray inspection systems and services focused on digital radiography (2D) and computed tomography (3D CT) for non‑destructive testing (NDT). Offers configurable hardware (benchtop to high‑energy systems), software for volumetric analysis and automated inspection, system integration, scanning services, and long‑term support for industries including aerospace, automotive, electronics, medical/dental, food, defense and space.
Industries
N/A
Nr. of Employees
small (1-50)
Products
Benchtop digital radiography / computed tomography system (30–130 kV)
Benchtop DR/CT system optimized for small component high‑resolution scanning; configurable micro/mini‑focus X‑ray tube and optional robotic load/unload for R&D, failure analysis, reverse engineering and QA.
Modular/scalable CT system family (including high‑energy and high‑throughput variants)
Modular CT system platform available in multiple form factors and energy ranges to address lab, production inline inspection, and high‑energy penetration use cases.
Benchtop digital radiography / computed tomography system (30–130 kV)
Benchtop DR/CT system optimized for small component high‑resolution scanning; configurable micro/mini‑focus X‑ray tube and optional robotic load/unload for R&D, failure analysis, reverse engineering and QA.
Modular/scalable CT system family (including high‑energy and high‑throughput variants)
Modular CT system platform available in multiple form factors and energy ranges to address lab, production inline inspection, and high‑energy penetration use cases.
Services
Scanning and inspection services using CT and DR for failure analysis, QA/QC, and additive manufacturing validation.
Turnkey system integration, installation, operator training and maintenance/support for CT and DR inspection systems.
Software modules and upgrades for volumetric reconstruction, automated analysis, and workflow automation for inline and offline inspection.
Pilot scans and data analysis to demonstrate CT suitability for a customer's parts and inspection criteria before capital purchase.
Scanning and inspection services using CT and DR for failure analysis, QA/QC, and additive manufacturing validation.
Turnkey system integration, installation, operator training and maintenance/support for CT and DR inspection systems.
Software modules and upgrades for volumetric reconstruction, automated analysis, and workflow automation for inline and offline inspection.
Pilot scans and data analysis to demonstrate CT suitability for a customer's parts and inspection criteria before capital purchase.
Expertise Areas
- Industrial computed tomography (3D CT)
- Digital radiography (2D DR)
- Automated inspection and Automated Defect/Deviation Recognition (ADR)
- Additive manufacturing (AM) inspection
Key Technologies
- 3D computed tomography (CT)
- Digital radiography (DR)
- Flat‑panel X‑ray detectors
- Micro/mini‑focus X‑ray tubes
News & Updates
Discussion of physics and technology challenges in applying CT to additive manufacturing, including part size, throughput, and high‑energy requirements.
Overview of 3D CT advantages for AM, data characteristics (voxels), and common use cases such as porosity analysis and nominal‑actual comparison.
Explains benefits of automated defect recognition via CT for high‑volume AM, and the need for 3D analysis algorithms and throughput improvements.
Covers operational challenges for automated CT, including personnel requirements, inline speed constraints, data volume and defining acceptance criteria.
Discussion of physics and technology challenges in applying CT to additive manufacturing, including part size, throughput, and high‑energy requirements.
Overview of 3D CT advantages for AM, data characteristics (voxels), and common use cases such as porosity analysis and nominal‑actual comparison.
Explains benefits of automated defect recognition via CT for high‑volume AM, and the need for 3D analysis algorithms and throughput improvements.
Covers operational challenges for automated CT, including personnel requirements, inline speed constraints, data volume and defining acceptance criteria.