Artificial Intelligence for Digitizing Industry (AI4DI)
(AI4DI Grant Agreement No. 826060)
Total Budget: ~30M Eiro
Project Coordinator: Reiner John, Infineon Technologies AG
Countries (12): Germany, Austria, Czech Republic, Italy, Norway, Latvia, Taiwan, Belgium, Lithuania, France, Greece, Finland
AI4DI aims to strengthen and expand AI usage in European industry digitization process. Enabling of performance, industry and humanity by AI for digitising industry is the key to push the AI revolution in Europe and step into the digital age. Potential users of AI are not sufficiently supported to facilitate the integration of AI into their applications. Existing services providing state of the art machine learning (ML) and artificial intelligence solutions are currently available in the cloud. AI4DI project aim is to transfer machine learning and AI from the cloud to the edge in manufacturing, mobility and robotics. To achieve these targets AI4DI will connect factories, processes, and devices within digitised industry by utilizing ML and AI for human machine collaboration, change detection, and detection of abnormalities.
In this project, EDI will define functional and non-functional requirements and specifications for AI algorithms/methods as well as software and hardware components of the automatic robotic pick-up system. Also, EDI will define the autonomous robot arm pick-up system architecture and will design and develop image data acquisition, labeling and pre-processing methods for training and running AI models. EDI will also design CNN based models and their training SW for detection, recognition and classification of chaotically stacked objects, implement stereo vision and ML algorithms on FPGA based SoC as Edge platform, and implement robot control system using ROS. After that, autonomous robotic arm pick-up system will be integrated, tested, validated and demonstrated. Besides that, EDI will take part in the dissemination and exploitation activities.