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PEOPLE@HES-SO – Annuaire et Répertoire des compétences
PEOPLE@HES-SO – Annuaire et Répertoire des compétences

PEOPLE@HES-SO
Annuaire et Répertoire des compétences

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Amand Axel

Amand Axel

Assistant-e HES

Compétences principales

Embedded Systems

C, C++

FPGA, vhdl

Python

Electronics

CAO électronique

Impression 3D

  • Contact

  • Enseignement

  • Recherche

  • Publications

  • Portfolio

Contrat principal

Assistant-e HES

Bureau: ENP.23.N313

HES-SO Valais-Wallis - Haute Ecole d'Ingénierie
Rue de l'Industrie 23, 1950 Sion, CH
HEI - VS
BSc HES-SO en Systèmes industriels - HES-SO Valais-Wallis - Haute Ecole d'Ingénierie
  • Digital Design
  • Embedded Systems
  • Summer School 1
BSC HES-SO en Informatique et systèmes de communication - HES-SO Valais-Wallis - Haute Ecole d'Ingénierie
  • Digital Design
  • Computer Architecture

En cours

ADGaL - No 74870.1 INNO-ICT
AGP

Rôle: Collaborateur/trice

Requérant(e)s: VS - Institut Systèmes industriels, Carrino Francesco, VS - Institut Systèmes industriels

Financement: Innosuisse

Description du projet : Pladex AG develops solutions to detect dangers or specific situations in public areas to react in real-time (e.g., detecting a person with a stroller in a ski resort to slow down the cable car with the right timing). The huge variability of objects, situations and conditions (lighting, weather, etc.) poses a major challenge to develop reliable computer vision algorithms for detection and segmentation. The training of such algorithms requires many images of the target object from all angles with the maximum variety. The process of data labeling is tedious and resource-intensive since it requires manual labelling by a human operator. A possible solution is the generation of artificial datasets. However, this approach is generally slow and complex, with unrealistic outcomes, resulting in suboptimal training. We propose to develop a novel approach that will simplify this generation by combining real images (backgrounds) with artificial ones (objects of interest). The principle is summarized by the following pipeline: - extract frames from videos to be used as background images - use a 3D graphics engine to generate artificial objects - merge the objects with the backgrounds creating perfectly labelled samples We will compare two approaches: - 'simple' copy & paste - 'Inpainting' using Generative AI To validate the concept, a simple GUI allowing the management of the dataset generation process needs to be developed.

Equipe de recherche au sein de la HES-SO: Amand Axel , Carrino Francesco , Demion Arnaud

Partenaires académiques: VS - Institut Systèmes industriels; Carrino Francesco, VS - Institut Systèmes industriels

Durée du projet: 11.10.2024 - 11.06.2025

Montant global du projet: 13'876 CHF

Statut: En cours

P3 - Prime soutien - Autre instance tierce - BASILIQ 1
AGP

Rôle: Collaborateur/trice

Requérant(e)s: VS - Institut Systèmes industriels

Financement: HES-SO Rectorat

Description du projet : P3 - Prime de soutien 2024 - Armasuisse - BASILIQ 1

Equipe de recherche au sein de la HES-SO: Clausen Michael , Rudaz Patrice , Sterren Thomas , Theytaz Alban , Rieder Medard , Berthouzoz David , Andersson Alexandra , Amand Axel , Rithner Aurélien , Métrailler Christopher

Partenaires académiques: VS - Institut Systèmes industriels

Durée du projet: 01.08.2024 - 31.07.2025

Montant global du projet: 15'000 CHF

Statut: En cours

Terminés

FPGA-EBS3

Rôle: Collaborateur/trice

Requérant(e)s: HEI, Sion

Description du projet :

Revision and update of the FPGA education boards used for labs and Summer School 1.

Equipe de recherche au sein de la HES-SO: Amand Axel

Partenaires académiques: HEI, Sion

Durée du projet: - 01.02.2023

Statut: Terminé

VR Headset for Special Needs

Rôle: Collaborateur/trice

Requérant(e)s: HEG, Sierre

Description du projet :

FPGA interfacing of an event-driven camera to recompose frames at high-speeds.

Equipe de recherche au sein de la HES-SO: Amand Axel

Partenaires académiques: HEI, Sion; HEG, Sierre

Durée du projet: - 31.12.2022

Statut: Terminé

Solution viable de métrologie à grande échelle, en production - P2
AGP

Rôle: Collaborateur/trice

Requérant(e)s: VS - Institut Systèmes industriels

Financement: HES-SO Rectorat

Description du projet : Metal extrusion is a versatile way to produce parts with a complex shape, in large quantities at a relatively low cost. The ability to produce custom shapes specific to customer's applications is also a major advantage. As a result, extruded aluminium profiles are widely used in construction, transportation, aerospace and other industries. However, their complexity, large size and relative low cost is also source of engineering problems: As applications become more and more advanced, customer require tighter and tighter dimensional tolerances, both in the cross section profile and along the length of the extruded part. Metrology on those extruded part is complicated. Firstly because of their size: A typical extrusion is delivered in length of 20 to 30 meter. Secondly, because of their complexity: Each profile is unique and most have internal geometry. Finally, because they are produced at relatively low cost, large investments for new technologies must be economically viable. As a result, no commercial solution is available to offer non-contact in production metrology for this type of manufacturing. Extruder carry on using age-old techniques for in production quality control: Samples are cut at the head and tail of each extruded length. The samples are then measured manually using callipers. Each measurement made is compared with the tolerance on a drawing. Each measurement is then entered in a database. This quality control method happens at the end of the production line, after the extrusion, quenching, cooling, stretching and cutting to size stages. When defect are detected at the end of the line, several tones of product have already gone through the extrusion press A Viable solution to precisely measure extruded profile in production would be invaluable to manufacturers. Firstly, it would help automate their quality control process. In the current Industry 4.0 paradigm, it would help collect more and more data. This data could then be used to improve the process and learn how to reach better and better tolerances. This would reduce costly rework and scraping of manufactured parts. It would then allow the manufacturer to offer high precision tolerance on specific geometry for a premium. Manufacturer could also start to offer digitally augmented products, delivered with their full digital quality control 3D model. This would allow customer to use that data for better planning of their process, for instance, by paring specific sections of profile that are due to be soldered together for optimum fit. And so on. As part of this project, we are planning to bring together existing metrology technologies and build a fully functional 'Proof of Concept' system for accurately measuring aluminium extrusion up to 30cm thick, 75cm wide and 30m long. This Viable Large Scale in Production Metrology POC will be tested as part of this project for a 1-month period in production at the Constellium Valais extrusion press. The outcome of this project will act as a springboard to gain further external funding, both in the form of 'mandate' from Constellium and in the form of 'innovation' projects funded by either of Innosuisse or European funds.

Equipe de recherche au sein de la HES-SO: Zahno Silvan , Matter Fabien , Amand Axel , Corre Jérôme

Partenaires académiques: VS - Institut Systèmes industriels

Durée du projet: 01.10.2020 - 01.03.2022

Montant global du projet: 110'750 CHF

Statut: Terminé

P7 - soutien au montage de projets FNS 2020 projet "Atomizer for AM powder"
AGP

Rôle: Collaborateur/trice

Requérant(e)s: VS - Institut Systèmes industriels

Financement: HES-SO Rectorat

Description du projet : P7 - soutien au montage de projets FNS 2020 projet "Atomizer for AM powder"

Equipe de recherche au sein de la HES-SO: Carreno-Morelli Efrain , Maître Gilbert , Amand Axel

Partenaires académiques: VS - Institut Systèmes industriels

Durée du projet: 01.12.2020 - 30.01.2022

Montant global du projet: 7'500 CHF

Statut: Terminé

2023

Dynamic project planning with digital twin
Article scientifique ArODES

Silvan Zahno, Jérôme Corre, Darko Petrovic, Gilles Mottiez, Loïc Fracheboud, Axel Amand, Steve Devènes, Gilbert Maître, Francesco Carrino

Frontiers in Manufacturing Technology,  3

Lien vers la publication

Résumé:

The digital twin (DT) concept plays a crucial role in Industry 4.0 and the digitalization of manufacturing processes. A DT is a virtual representation of a physical object, system, or process, designed to accurately reflect its real-world counterpart. In manufacturing, existing process data are often incomplete and do not qualify as a DT. However, with the help of specialized communication frameworks and cheaper, easier-to-use sensors, it is possible to integrate the existing manufacturing execution system (MES) and enterprise resource planning (ERP) data with the missing data gathered from the shop floor to create a comprehensive DT. In this paper, we present a digital shop floor decision support system (DSS) for non-linear aluminum manufacturing production. The system is split into five main components: digitization of shop floor orders; merging and sorting of MES, ERP, and shop floor data; custom and genetic optimization algorithms for the aging furnace production step; layout construction mechanism for optimal placement and stacking of orders in the furnace; and a user-friendly graphical user interface (GUI). The system’s performance was evaluated through three tests. The first test measured the efficiency of digitization, the second aimed to quantify time saved in finding packets in the hall, and the last test measured the impact of the optimizer on furnace productivity. The results revealed a 23.5% improvement in furnace capacity, but limitations were identified due to usability and human intervention.

Dynamic project planning with digital twin
Article scientifique

Zahno Silvan, Carrino Francesco, Petrovic Darko, Devènes Steve, Gilles Mottiez, Loïc Fracheboud, Maître Gilbert, Jérôme Corre, Amand Axel

Fontiers in Manufacturing, 2023

Lien vers la publication

Résumé:

The digital twin (DT) concept plays a crucial role in Industry 4.0 and the digitalization of manufacturing processes. A DT is a virtual representation of a physical object, system, or process, designed to accurately reflect its real-world counterpart. In manufacturing, existing process data are often incomplete and do not qualify as a DT. However, with the help of specialized communication frameworks and cheaper, easier-to-use sensors, it is possible to integrate the existing manufacturing execution system (MES) and enterprise resource planning (ERP) data with the missing data gathered from the shop floor to create a comprehensive DT. In this paper, we present a digital shop floor decision support system (DSS) for non-linear aluminum manufacturing production. The system is split into five main components: digitization of shop floor orders; merging and sorting of MES, ERP, and shop floor data; custom and genetic optimization algorithms for the aging furnace production step; layout construction mechanism for optimal placement and stacking of orders in the furnace; and a user-friendly graphical user interface (GUI). The system’s performance was evaluated through three tests. The first test measured the efficiency of digitization, the second aimed to quantify time saved in finding packets in the hall, and the last test measured the impact of the optimizer on furnace productivity. The results revealed a 23.5% improvement in furnace capacity, but limitations were identified due to usability and human intervention.

Réalisations

2021

Pegboard Holders

 2021 ; Private

Collaborateurs: Amand Axel

Lien vers la réalisation

Pegboard holders

Holder sample

To use within the new campus !

No glue, no screw, simply print and plug.
Use the base to create your own models or directly print the given samples (pen holders, painting holders ...).

Feel free to send me your own, so I can update the page for anyone to enjoy !

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