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Real-time object detection has come a long way since its inception in the early 2000s, thanks to advancements in computer vision and deep learning. It is now used in various industries, from public transit systems to smart home products, to enhance safety, security, and automation. However, challenges around run time and computing load have hindered its proper adoption and utilization. A Region Proposal Network (RPN) has been proposed as a potential solution for faster R-CNN, which could help to increase processing speed and accuracy.
