Computer vision has existed for decades but stayed niche because training models to recognize thousands of objects was too expensive and computationally demanding. Only recently has the cost dropped enough to scale beyond narrow uses like detecting bad pistachios. Broader adoption is accelerating now.
Computer vision's been around for a very, very long time, but it's still very nascent in its adoption and in its broader usage because it's expensive. It's really challenging, right? We haven't had the compute power to properly train a computer what 1,000 objects in a retail store looks like, for example, right? Yeah, we can train one to know what a pistachio looks like and if that pistachio's good, and you've seen it used in agriculture quite a bit, but the ability to grow and scale and expand it is really just becoming a reality here, you know, in the past year or two. So we're, we're definitely at the beginning of the growth phase.
