AI TEF for AI for products bin picking

AI-based product bin picking systems involve the use of robotics and advanced AI algorithms to automate the process of selecting and handling components that are randomly placed in a bin.
The service aims at testing AI algorithms in a real-world setting. This involves deploying AI models to see how well they perform in identifying and picking objects from a bin. This testing process helps in fine-tuning the algorithms to improve their efficiency and effectiveness.
The service emphasizes testing the AI-based bin picking system in real manufacturing scenarios. This involves using actual components and conditions found in a production environment, ensuring that the solution is robust and capable of handling the complexities and variability encountered in everyday operations. This real-case testing is crucial for validating the system’s readiness for deployment and for identifying any potential issues that need to be addressed.

• A.1: HW Bin picking workstation, automotive and white goods components; 3D printed components (on-demand);


• A.2: SW Data acquisition system and API;


• A.3: DW Real Time DataSets, Historical DataSets provided