Demos
Thanks to the support of our dedicated R&D engineers team, we are able to showcase numerous scientific demos. Hereafter is a selection of this know-how:
EdgeFace : Efficient Face Recognition Model for Edge Devices
EdgeFace is a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of both CNN and Transformer models, and a low rank linear layer, EdgeFace achieves excellent face recognition performance optimized for edge devices. The proposed EdgeFace network not only maintains low computational costs and compact storage, but also achieves high face recognition accuracy, making it suitable for deployment on edge devices. The proposed EdgeFace model achieved the top ranking among models with fewer than 2M parameters in the IJCB 2023 Efficient Face Recognition Competition. Extensive experiments on challenging benchmark face datasets demonstrate the effectiveness and efficiency of EdgeFace in comparison to state-of-the-art lightweight models and deep face recognition models. Our EdgeFace model with 1.77M parameters achieves state of the art results on LFW (99.73%), IJB-B (92.67%), and IJB-C (94.85%), outperforming other efficient models with larger computational complexities. The code to replicate the experiments will be made available publicly.
Vine grape pruning with 3D2cut
Personalized Meshes for Brace Generation with the HEIA-FR
Pepper demo - visual, audio, and non-verbal perception
EnerMaps Open Data Management tool
This tool aims to improve data management and accessibility in the field of energy research for the energy industry and regulators. EnerMaps’ tool accelerates and facilitates the energy transition offering a qualitative and user-friendly digital platform to the energy professionals.
Mobile data for local causes
The dedicated Civique platform is made by people: requesters and contributors who create and participate in challenges. Challenges are mobile data collection initiatives that inform local civic causes. Photos, opinions, locations can all be gathered. Requesters are cities and organizations that create challenges on topics that matter to citizens and communities. Civique helps them document their cause, make sense of their data, and engage with people. Contributors join challenges via a mobile app, documenting issues, creating content, answering questions, and taking actions.
The BEAT Platform
The BEAT platform is a European computing e-infrastructure for Open Science proposing a solution for open access, scientific information sharing and re-use including data and source code while protecting privacy and confidentiality. It allows easy online access to experimentation and testing in computational science. You define what data and modules you would like to use, we make sure the system runs and provides you with a result. Data from different experiments can be easily compared and searched. The platform also provides an attestation mechanism for your reports (scientific papers, technical documents or certifications).
Robotics codes from scratch (RCFS)
RCFS is a website with interactive examples, as well as a collection of source codes to study learning and optimization techniques in robotics. It can be used to study and test learning and optimization techniques in robotics through simple 2D examples.