I have not utilized Azure AI Vision for quality control. I used it for facial recognition, especially in forensics applications. For real-time applications such as IoT, Azure AI Vision can be applied to industrial pollution monitoring and ship cargo inspection. Azure AI Vision has many applications combined with IoT, and we are building something in forensics. It can also be used in education, and I see significant scope for Azure AI Vision, especially in logistics. My use cases are limited to three or four applications. I did not know how Azure AI Vision image analysis integration impacted my inventory management accuracy because the requirement came from the government. We are building a forensics application where we need to capture an image and find the exact extraction of the image. In that context, we have used it. We have not used it in any other application such as quality control or others. For Azure AI Vision, we wanted a complete pre-trained model. Actually, we did not find any pre-trained model for a specific domain, so we are building from scratch. I know it is difficult to build it from scratch. For example, in a legal department, we are using the Iron Legal BERT model, a pre-trained model for law. We are expecting similar pre-trained models in medical or emergency services so that we can improve. I see Med-Image-Insight, which is one application being used. It is already open, but we want to see it more in different domains as well.
I have not utilized Azure AI Vision for quality control. I used it for facial recognition, especially in forensics applications. For real-time applications such as IoT, Azure AI Vision can be applied to industrial pollution monitoring and ship cargo inspection. Azure AI Vision has many applications combined with IoT, and we are building something in forensics. It can also be used in education, and I see significant scope for Azure AI Vision, especially in logistics. My use cases are limited to three or four applications. I did not know how Azure AI Vision image analysis integration impacted my inventory management accuracy because the requirement came from the government. We are building a forensics application where we need to capture an image and find the exact extraction of the image. In that context, we have used it. We have not used it in any other application such as quality control or others. For Azure AI Vision, we wanted a complete pre-trained model. Actually, we did not find any pre-trained model for a specific domain, so we are building from scratch. I know it is difficult to build it from scratch. For example, in a legal department, we are using the Iron Legal BERT model, a pre-trained model for law. We are expecting similar pre-trained models in medical or emergency services so that we can improve. I see Med-Image-Insight, which is one application being used. It is already open, but we want to see it more in different domains as well.