The task is solvable based on solely digital image data.
Hypothesis 1 evaluates whether visual image data is sufficient for task completion and if the image data can be acquired in the production process. We capture sample data and test digital task completion with your employees.
Duration: 2-3 weeks
An open source deep learning algorithm is able to learn the task.
Hypothesis 2 tests the compatibility of state-of-the-art neural networks with your task. We create a first training dataset and evaluate the training progress of neural networks.
Duration: 3-6 weeks