MultiX, the world leader in spectrometric x-ray detection for airport security and non-destructive testing is pleased to announce a partnership with Gilardoni a leader for Xray systems for Hand and Hold luggage control. MultiX will bring its innovative multi-spectral x-ray detectors and proprietary algorithms and co-develop new software for material threat detection based on Gilardoni’s
MultiX, the world leader in spectrometric x-ray detection for airport security and non-destructive testing is pleased to announce the opening of its new subsidiary, MultiX, Inc. in Washington DC, the United States of America. The main goal of MultiX, Inc. is to foster close relationships with the Department of Homeland Security (DHS) and the Transportation
ISO 9001 2015 is key to demonstrate that we are fully committed to products and services permanent improvement. We are very proud to announce that MultiX has achieved ISO 9001 2015. That internationally recognized certification was conducted in accordance with the Bureau Veritas auditing and certification procedures. It is subject to regular surveillance audit. This
MultiX, the world leader in spectrometric x-ray detection for airport security and non-destructive testing, strengthen its organization to sustain the industrial growth of the company. Jacques Doremus, founder and CEO of MultiX appoints Patrice Gleizes (Grad Eng. Supelec and MBA) General Manager starting January 1st. Patrick Radisson, co-founder of MultiX remains CTO.
MultiX S.A, leader mondial en détection spectrométrique par rayons X pour la sûreté dans les aéroports et le contrôle non destructif, renforce son organisation en vue de sa croissance industrielle et nomme son Directeur Général. Patrice Gleizes (Supélec et MBA) est nommé Directeur Général de la société à compter du 1er février 2018. Jacques Doremus,
DTU Compute, Technical University of Denmark, released at the 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017 a paper about MultiX detectors As conclusion the authors say: We have demonstrated that we can achieve robust detection of certain foreign objects in the data sets used in this work. This was done in a