Boosting performance of computer vision applications through embedded GPUs on the edge

Recent advancements in computer vision applications, particularly those leveraging augmented reality, are gaining traction in mobile devices. However, these applications often require substantial resources. To address this challenge, edge computing can offload demanding tasks to enhance performance on devices with limited capabilities. This development is significant as it allows for more efficient use of technology in everyday devices, making advanced applications accessible to a broader audience.