SensoBody, a project led by Portuguese-based SENSOMATT that’s developing new ways to create 3D body detection methods through 2D images, has been named one of the finalists for the BonsAPPs program.
BonsAPPs, a European Commission funded project that is furthering the Fourth Industrial Revolution by stimulating Europe’s AIaaS scene, has announced that ten AI talent’s have moved to the next stage of its program, including Sensobody.
Announced in September 2021, BonsAPPs’s open call, where 30 AI Talents were selected from a pool of researchers, post-doctorates, developers and data scientists, were chosen to develop AI solutions for industry challenges by using the tools available on its marketplace.
Said Miguel de Prado, Senior Researcher at BonsAPPs, “We are excited to see the solutions proposed by each project integrate into established industry processes to streamline and optimise issues that will benefit consumers, founders, and researchers as the Fourth Industrial Revolution takes flight” .
The ten winners have provided solutions in areas of automotive, robotics, manufacturing and healthcare. They are:
CHEIRONOM, led by a team of 4 AI Talents from Greece in the quest to improve upon gesture recognition as a safety feature in the Automotive industry.
AUTO-MNET is striving to build MocapNETs (a high performance 2D to 3D single person pose estimator) for improved bodypart tracking in automotive applications, led by a team from Greece’s Foundation for Research and Tech. – Hellas (FORTH).
gAIze, an AI-enabled GAZE detection for lightweight driver monitoring systems that will allow AI systems in cars to know which on-screen element a person is looking at, led by Austrian-based VIRTUAL VEHICLE Research GmbH.
EENAKWS, an energy-efficient, noise-aware keyword spotting initiative for the robotics industry led by Zürich-based D-ITET Center for Project-Based Learning.
AWoid, a project led by Italy’s Elif Lab srl that will solve challenges related to Context-Aware Artificial Intelligence for Collision Avoidance in the robotics industry.
3Dlocator, by Spanish company LOGICMELT TECHNOLOGIES SL will develop novel solutions for object location in 3D space and other object detection challenges in the Manufacturing industry through the use of depth estimation networks.
MNE_OQC is led by 5 AI Talents from Montenegro and will seek to tackle high-speed defect detection in the Manufacturing industry using deep learning. methodologies.
Artificial, led by Artificialy SA from Switzerland, will attempt to solve the remote vital signs challenge in the Health Industry.
PULSE, led by THINGENIOUS PC from Greece, this project will deal with heart rate detection and estimation in the Health industry via PPG and IMU signal fusion for heart rate estimation.
SensoBody, a project led by Portuguese-based SENSOMATT Lda. that will seek to come up with novel ways to create 3D body detection methods through 2D images.
BonsAPPs will be announcing a second open call beginning in August 2022 aimed at Low Tech SMEs that will benefit from AI solutions.