Smart Cameras Integrated with Artificial Intelligence (AI) and Human Pose Estimation: A Study

Abstract

From the earliest daguerreotypes to the latest smartphone cameras, photography has always sought to capture moments in time. Yet, despite incredible technological advancements, the act of “taking a photo” often still requires a conscious, manual action, pressing a button, setting a timer, or asking someone else to click. This reliance on human intervention often leads to missed opportunities, awkward timer sprints, or less-than-candid shots. Enter the next evolution: “Smart cameras integrated with artificial intelligence (AI) and human pose estimation”. This groundbreaking convergence empowers cameras to not just passively record light, but to understand the scene, recognize human intent, and capture moments spontaneously and intelligently, often without a single tap or verbal command. This ground-breaking skill is mostly the result of sophisticated AI, particularly deep learning and computer vision. The camera system can now analyse the live video input with previously unheard-of detail thanks to these technologies. Here, human pose estimation is the main attraction. In contrast to simple object detection algorithms that only recognise a “person,” pose estimation systems go further. In order to create a real-time “skeleton” of the human body within the frame, they recognise and track important anatomical points, such as elbows, knees, wrists, and even face features. It determines the best time to “click” on its own, without waiting for a button to be pressed, using pre-established or learnt human pose criteria.