Your connected object at the cutting edge of innovation!
Rtone can combine applied research with engineering to design your connected solution.
The IoT in constante evolution
R&D allows us to respond to new problems presented by our customers, starting from a blank page.
Close links with research and the academic world.
INNOVATION
We master the most innovative technologies.
PERFORMANCE
We integrate the best-performing solutions for your project.
CHALLENGE
We build a team able to address complex, innovative requirements.
INFORMATION
We guide you towards academic partners or request their expertise if the subject requires prior research work.
Projects with integrated R&D
La Grangette
Growing vegetables using artificial intelligence and hydroponics.
Designing a set of image analysis tools to monitor plant growth.
Local image processing thanks to edge computing.
Machine learning to analyse growing times based on plant size and shape.
Subjects of our research projects
Artificial intelligence
Machine learning
Software-defined radio (SDR)
Cybersecurity in the IoT
Visible light communication (VLC)
A word from Alexis
R&D & security leader
“Applied research at an innovative company like Rtone allows us to learn and discover new things all the time. We need to take full advantage of academic research and engineering in our everyday work to solve new problems. Collaborating with industrial and academic partners across Europe is fascinating. I also love sharing our knowledge and promoting Rtone’s expertise through presentations and technical or scientific articles.”
Alexis, R&D & security leader
1 mot d’Alexis
R&D and security leader
“Applied research at an innovative company like Rtone allows us to learn and discover new things all the time. We need to take full advantage of academic research and engineering in our everyday work to solve new problems. Collaborating with industrial and academic partners across Europe is fascinating. I also love sharing our knowledge and promoting Rtone’s expertise through presentations and technical or scientific articles.”
Alexis, R&D & security leader
Subjects and projects in progress
Recherche areas
New IoT applications: drones, augmented reality
Green tech
IoT Cybersecurity and Privacy
Deep Learning for wireless network
Visible Light Communications : Kiwink patent EP3364565
Software Defined Radio
Indoor Localization
Smart City Paradigms
Projects and news
ANACONDA : Automation of security validation and penetration testing for smart objects
SDR4IoT : Fingerprinting and authentication for smart objects using software-defined radio and machine learning
FUI PACLIDO : Lightweight cryptography for the IoT. Cyberattack detection using machine learning techniques
IoT 3D FlexLab : robotic platform for 3D-printing electronic circuits, usable with no knowledge of robotic programming and compatible with industrial environments.
Partners
Member of the H2020 SPARTA : cybersecurity consortium as an associate partner
Alp Robotic
Grenoble INP
horizon-2020
fed4fire
commission-eu
bpiFrance
anrt
inria
insa
la-region
sdr4iot
paclido
I have a smart object project
Our publications :
MitM Attack Detection in BLE Networks
A. Duque, A. Lahmadi, N. Heraief, and J. Francq, “MitM Attack Detection in BLE Networks using Reconstruction and Classification Machine Learning Techniques” in Proceedings of the 2nd Workshop on Machine Learning for Cybersecurity MLCS’20, (Ghent, Belgium)
LED-to-smartphone bidirectional communication
A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Decoding methods in LED-to-smartphone bidirectional communication for the IoT” in Proceedings of the 2018 Global LIFI Congress (GLC) GLC’18, (Paris, France)
Unleashing the power of led- to-camera communications
A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Unleashing the power of led- to-camera communications for iot devices” in Proceedings of the 3rd Workshop on Visible Light Communication System VLCS’16, (New York, NY, USA)
View all the publications
A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Analytical and simulation tools for optical camera communications” in Elsevier Computer Communications Vol. 120, pp. 52-62, July 2020
A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Performance Evaluation of LED-to-Camera Communications” in Proceedings of the 22nd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems MSWiM’19, (Miami Beach, FL, USA)
A. Duque, R. Stanica, H. Rivano, C. Goursaud, and A. Desportes, “Poster: Insights into RGB-LED to Smartphone Communication” in Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks EWSN’18, (Madrid, Spain)
A. Duque, R. Stanica, H. Rivano, and A. Desportes, “SeedLight: Hardening LED-to-Camera Communication with Random Linear Coding” in Proceedings of the 4th Workshop on Visible Light Communication System VLCS’17, (Snowbird, Utah, USA)
A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Demo : Off-the-shelf bi-directional visible light communication module for IoT devices and smartphones” in Proceedings of the 2017 International Conference on Embedded Wireless Systems and Networks EWSN’17, (Uppsala, Sweden), 2017
A. Duque, R. Stanica, H. Rivano, and A. Desportes, “Demo: Unleashing the power of led- to-camera communications for iot devices” in Proceedings of the 3rd Workshop on Visible Light Communication Systems VLCS’16, (New York, NY, USA)
A. Duque, “TensorFlow Lite im Vertical Farming” in Linux Magazin April 2020
A. Duque, “Run TensorFlow models on edge devices” in ADMIN Magazine Issue 57, May 2020
A. Duque, “Machine Learning sur des objets connectés avec TensorFlow Lite pour l’agriculture verticale” in Linux Magazine France Issue 236, July 2020