Our main project goal was to create an AI system that can classify product images that may originate from various industries. This system can differentiate between 2 cases: a defective and non-defective product, and as well provide a location of the defec... read more of MNE_OQC (Defect Detection Challenge)

The main goal of this project is to have an AI system translate a streaming video of the actions of a driver, captured from within the car, to a stream of action recognition labels, i.e. have the car understand what the driver needs done from the gestures... read more of CHEIRONOM (Gesture Recognition Challenge)

We are a Swiss company born in 2020 with the purpose of pulling together excellent data scientist and engineers with a taste for making a difference in the real business world bringing AI in companies to solve problems. The group is investing in digital ... read more of Artificialy - Remote Vital Signs detection

Our goal is to bring keyword spotting solutions to noisy environments, specializing on the on-site noise in an energy-efficient manner. read more of EENAKWS (Robotics: R.2 Keyword spotting)

AWoid is a project carried out by ELIF LAB srl (www.eliflab.com). The main goal of the AWoid project is developing an artificial intelligence solution that could allow the onboard camera input of an autonomous vehicle, drone or robot to be used to estima... read more of AWoid (Collision Avoidance)

A 3D human pose estimator for edge devices. Automotive Challenge - Body Part Tracking read more of AUTO-MNET (Body Part Tracking)

PULSE goal was to develop a deep learning model that takes as input PPG (Photoplethysmogram) signals originated by wearable devices (e.g., smartwatch) and fuse them with triaxial accelerometer signals to estimate the user’s heart rate. The developed mod... read more of PULSE (Heart Rate Detection)