Update Readme.md

factory-ai-vision/Readme.md

@@ -10,14 +10,14 @@ products:
 - Onnxruntime
 - azure-iot-edge
 page_type: sample solution
-description: "This is a easy to use UI solution showing how to realize a concept in a single day and setup a prototype without require any expert to complete a task, and get running on Azure IoT Edge."
+description: "This is a easy to use UI solution showing how to realize a your own machine learning solution concept in a single day without requiring any Machine Learning expertise, run with hardware accleration on edge with retraining loop ."
 urlFragment: custom-vision-azure-iot
 ---
 
 
 # Custom vision + Azure IoT Edge for Factory AI
-This is a sample showing how to deploy a Custom Vision model to Azure IoT edge device and get AI model up running in a single day. 
-Custom Vision equipped with image classification and object detection that are trained in the cloud with your own images. You can define your location, camera and set up objects to detect any manufacturing parts, defeat area, etc. while keeping your vide footage private, lowering your badnwidth costs and even running offline. 
+This is a sample showing how to deploy a Custom Vision model to Azure IoT edge device and get Machine learning solution up and running in a single day. 
+You can define your location, camera and set up objects to detect example: any manufacturing parts, defected parts, etc. while keeping your video footage private, lowering your badnwidth costs and even running everything offline. We use onnxruntime to acclerate your models on edge device using Open Vino for CPU and TensorRT for Nvidia GPU.
 
 Check out [this video](https://channel9.msdn.com/Events/Build/2020/BOD131) to see brief introduction in action and understand how the value is delievered: 
 [![video](https://mediusprodstatic.studios.ms/video-28874/thumbnail.jpg?sv=2018-03-28&sr=c&sig=svseIEcORPXo2vyKdEbzetamD9qDI3gXgzKhlTbIHUM%3D&se=2025-05-15T13%3A06%3A01Z&sp=r)](https://channel9.msdn.com/Events/Build/2020/BOD131)