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Human presence detection is a range of technologies and methods [1] for detecting the presence of a human body in an area of interest (AOI), or verification that computer, smartphone (or other device controlled by software) is operated by human. Software and hardware technologies are used for human presence detection.
Windows Camera is an image and video capture utility included with the most recent versions of Windows and its mobile counterpart. It has been around on Windows-based mobile devices since camera hardware was included on those devices and was introduced on Windows PCs with Windows 8, providing users for the first time a first-party built-in camera that could interact with webcam hardware. [4]
Face detection is gaining the interest of marketers. A webcam can be integrated into a television and detect any face that walks by. The system then calculates the race, gender, and age range of the face. Once the information is collected, a series of advertisements can be played that is specific toward the detected race/gender/age.
A webcam is a video camera which is designed to record or stream to a computer or computer network. They are primarily used in video telephony , live streaming and social media , and security . Webcams can be built-in computer hardware or peripheral devices , and are commonly connected to a device using USB or wireless protocol .
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
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Motion detection can now be distributed, so that the cameras do motion detection themselves and only send video when motion is detected. Alternately, motion detection can still also occur in the VMS. Some VMS do not have motion detection and rely exclusively on it being done in the camera.
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