Intelligent Edge for Defect Detection

Computer vision is a field of study focused on the problem of helping computers to see. At an abstract level, the goal of computer vision problems is to use the observed image data to infer something about the world. It is a multidisciplinary field that could broadly be called a subfield of artificial intelligence and machine learning, which may involve the use of specialized methods and make use of general learning algorithms like image classification and detection.

Quality assurance is one of the most important things for manufacturers because affects the reputation of a company.
A typical production line, components pass from one station to another, and at the end, an inspector steps in to look for problems.
Computer Vision makes it possible to early detect defects on products in a manufacturing context. Executing AI workloads at the Edge, devices spend less time communicating with cloud services and operate reliably even in extended offline periods. Azure Computer Vision and Azure IoT Edge perfectly fit a defect detection scenario building an intelligent edge.



Computer vision reduces human effort enabling early error detection to improve quality control



AI algorithms are used to train the model for image recognition leveraging the cloud resources



Once the AI model is ready it should be deployed to the edge to improve performance and reliability


Azure IoT Edge moves cloud analytics and custom business logic to devices so that the organization can focus on business insights instead of data management. It’s made up of IoT Edge runtime that runs on each IoT Edge device and manages the IoT Edge modules that are containers that run Azure services, third-party services, or your own code. A cloud-based interface enables you to remotely monitor and manage IoT Edge devices.

Key features:

  • Move cloud and custom workloads to the edge, securely
  • Seamless deployment of AI and advanced analytics
  • Easy leverage of local hardware (CPU, GPU, FPGA, TPU) for workload acceleration
  • Configure, update and monitor from cloud, a.k.a cloud-centric-edge
  • Compatible with popular operating systems and packaging options (containers first)
  • Code symmetry between cloud and edge for easy development, testing, and deployment

Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics.

Key features:

  • Image classification applies one or more labels to an image
  • Object detection is similar, but it also returns the coordinates in the image where the applied label(s) can be found
  • Is optimized to quickly recognize major differences between images, so you can start prototyping the model with a small amount of data. 50 images per label are generally a good start.

Azure Custom Vision is used to train the AI model through example images that must be provided; once the model is ready it’s deployed to IoT Edge to start processing images and videos for defect detection. Images upload and tagging could be performed manually using the Azure Custom Vision portal. Another option is to use an IoT Module deployed on IoT Edge that is able to automatically recognize and tag images from a multimedia stream and then upload them to Azure Custom Vision service.


Cluster Reply is the Reply Group Company specialized in consulting services and systems integration on Microsoft technologies.

The Company is focused on innovation and offers Microsoft solutions, both cloud and on-premise, in the areas of Modern Workplace, Business Applications, Applications and Infrastructure, Data and AI.

With over 20 years of experience working with Microsoft, Cluster Reply is able to help its customers to choose the best Microsoft solutions, thanks to its Microsoft certifications and a distinctive knowledge of the market and its processes.

Industry 4.0 revolution may leverage on Microsoft IoT and Data platform that with cloud and edge technologies helps customers to transform factories into Connected Smart Factories and products into Intelligent Connected Products. Cluster Reply supports customers into Digital Transformation and adoption of new technologies, optimizing Smart Factories processes and enhancing products with new added values services.

Ready to improve quality control in your plant?