References
LYNRED
Neovision built a database of previously unpublished data (infrared RGB and composite images) and then exploited this dataset. Subsequently, Neovision designed and developed Deep Learning algorithms capable of detecting pedestrians in all lighting conditions.
Computer Vision · Deep Learning · Environnement · R&D · Smart Cities
PELLENC ST
Neovision designed and developed an artificial intelligence solution able to automate plastic wastes sorting running on NVIDIA GPU.
Computer Vision · Deep Learning · Environnement · GPU · On Premise · R&D
Découvrez la technologie développée pour Pellenc ST permettant le tri de déchets automatisé grâce à la classification par Deep Learning.
TRANSARC
Neovision designed and developed an artificial intelligence solution able to detect and recognize circuit breaker while running on a smartphone.
Cloud · Environnement · Recherche opérationnelle · Transport
SCHNEIDER ELECTRIC
After dimensioning the project and conducting a feasibility study, Neovision then designed computer vision and machine learning algorithms to detect human presence and activity. These algorithms were then embedded on a low-power microcontroller.
Computer Vision · Energie · Environnement · IA embarquée · Machine learning
