Empowering Intelligent Manufacturing with the Potential of Edge Computing with NVIDIA's Jetson Nano

Manufacturing must use technology to meet demand since it is crucial to the supply chain. Particularly, artificial intelligence has been essential in helping to oversee and support the manufacturing process. This study puts forth the notion of how edge computing aids manufacturing. This article uses NVIDIA's Jetson Nano to address the demand for edge computing in preventing resource overstocking and understocking in the production unit. The concept of quality inspection is examined, as well as the quality inspection of the goods received in the production facility and its effective management through the use of image recognition. The paper primarily focuses on the implementation of deep learning and machine learning models on edge devices. By striking a balance between the computational capacity and memory limits, a domain-specific technique is applied for edge computation in the manufacturing industry employing artificial intelligence networks.