Robohub.org
ep.

240

podcast
 

Biowatch: Biometric Identification Using Veins with Matthias Vanoni

Biowatch         
by
05 August 2017



share this:


In this episode, MeiXing Dong interviews Matthias Vanoni, co-founder and CEO of Biowatch. Vanoni speaks about Biowatch, a wrist-veins biometric reader that functions as a security solution for mobile payments and smart devices. They discuss the technical challenges of building a miniaturized wrist-vein reader and how this device changes the usual user authentication process.

Matthias Vanoni

Prior to being the CEO and co-founder of Biowatch SA, Matthias Vanoni (31) was a PhD student at EPFL and IDIAP Research Institute, specialised in biometric authentication and a former captain in French Gendarmerie. His Life is now dedicated to entrepreneurship, his wife and their little boy.

 

 

 

 

Links



tags: , , ,


MeiXing Dong





Related posts :



Interview with Dautzenberg Roman: #IROS2023 Best Paper Award on Mobile Manipulation sponsored by OMRON Sinic X Corp.

The award-winning author describe their work on an aerial robot which can exert large forces onto walls.
19 November 2023, by

Robot Talk Episode 62 – Jorvon Moss

In the latest episode of the Robot Talk podcast, Claire chatted to Jorvon (Odd-Jayy) Moss from Digikey about making robots at home, and robot design and aesthetics.
17 November 2023, by

California is the robotics capital of the world

In California, robotics technology is a small fish in a much bigger technology pond, and that tends to conceal how important Californian companies are to the robotics revolution.
12 November 2023, by

Robot Talk Episode 61 – Masoumeh Mansouri

In the latest episode of the Robot Talk podcast, Claire chatted to Masoumeh (Iran) Mansouri from the University of Birmingham about culturally sensitive robots and planning in complex environments.
10 November 2023, by

The 5 levels of Sustainable Robotics

Robots can solve the UN SDGs and not just via the application area.
08 November 2023, by

Using language to give robots a better grasp of an open-ended world

By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
06 November 2023, by





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association