A few days were spent training the model because the accuracy level was not sufficient. Images for training was increased to 643 at various distances and angles and images for validation was increased to 131.
When tested by holding the camera above the objects, the results were far from satisfactory. The detecting was fleeting at best, and not very accurate.
Even with a different background, the percentage of accuracy was not acceptable.
However, after mounting the camera onto a stable stand, the results seems to be much better, as shown in the video below:
As for the UR10, instead of coding the script on the laptop, the pendant was used to code the UR10 to move and pick up object from a fixed location. The URScript was then transferred from the pendant to laptop. This helped solved the issue of not being able to code the grippers to work.
Meanwhile, data collection has begun for the object detection of the project's second part (hand / palm detection).
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