Leveraging IoT-Based CNN for Streamlining Business Application

Internet of Things (IoT) has evolved over years and has proven to be reliable making it a viable choice for multi-disciplinary applications. IoT led to the development of numerous smart applications. The low cost and less implementation overhead in IoT have made it a feasible solution for application in many fields. Convolutional neural network (CNN) is very extensively utilized in research and industries. Several computer vision applications have employed CNN for image, face, and object classification and recognition. High performance is required by IoT application using CNN due to its rigorous computation involving billions of operations over an input. Modern-day businesses have been touched by the strong waves of technology over the past few years and there is no denying that the IoT is one such technology that has transformed a lot of business into making them successful by optimizing their operations, upgrading products, empowering employees, encouraging customers, and so on. It is essential to understand IoT-based CNN to adopt and apply in business models to harness its true potential. This chapter is designed to begin with an understanding of architectures of IoT and CNN to embed and harness their potential in business. The next section discusses several IoT-based CNN applications in business emphasizing the need of this technological implementation. While implementation it is also vital to consider the challenges that pose roadblocks in implementation to avoid risks and gain future insights. Businesses looking to have long-term returns with adoption of modern technology would find all the information to make apt choices.