Challenges Of Edge AI Inference

Bringing convolutional neural networks (CNNs) to your industry--whether it be medical imaging, robotics, or some other vision application entirely--has the potential to enable new functionalities and reduce the compute requirements for existing workloads. This is because a single CNN can replace more computationally expensive image processing, denoising, and object detection algorithms. However, in our experience interacting with customers, we see the same challenges and difficulties arise as they move an idea from conception to productization. In this article, we'll review the common challenges and address some of the solutions that can smooth over development and deployment of CNN models in your edge AI application. We see a lot of companies attempting to create models from the ground up.