In ancient Greek, the word Argos (Ancient Greek: Ἄργος) primarily translates to watchful, bright or shining. It's also connected to the Greek word argos, meaning swift or bright.
Argos is also inspired by Argus Panoptes, the hundred-eyed giant of Greek mythology, representing observation, vigilance and the ability to identify what others might miss.
Argos monitors AI vision success and detects performance degradation. It then requests some real-word images of the issue and generates synthetic images to retrain the AI model. It can also do the initial training of an AI model with synthetic imagery.
When an AI model is initially trained, it has seen a specific dataset of images from the real world. But things change... lighting, dead leaves in a field, dead leaves over fruit on a conveyor, an LED fails in a glasshouse, changing the light and so on. AI vision systems will always need updating.
AgriSynth can demonstrate this in the field. If a linked robot in a field sees something new, it can upload a few of the problematic images to ARGOS, which will retrain the robot to restore its vision.