Abstract: This examination intends to plan and execute a home security framework with human location ability. Customary home security frameworks,i.e., Closed-Circuit Television (CCTV) can catch and record recordings without he capacity of giving notice input assumig there is any dubious object. Hence, an extra item discovery and cautioning technique is required. The proposed plan is executed utilizing Raspberry Pi 3 and Arduino, that is associated by USB link. The PIR sensor is introduced on Arduino and webcam is mounted on Raspberry Pi 3. The Raspberry Pi 3 is used to deal with inputs from sensors and interaction pictures for human identification. PIR sensor recognizes the development around the sensor to initiate the webcam to catch an image. Then, at that point, the item acknowledgment is performed utilizing Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM) to distinguish the dubious item.Expecting that the questionable article is distinguished, then, the alert is ordered and sends an email to alert the house proprietor about the presence of the gatecrasher. The outcomes show that it takes onnormal 2 seconds for the proposed framework to distinguish an intruder and that the framework can really perceive the interloper
Keywords: Closed-Circuit Television ,Support Vector Machine ,Histogram of Oriented Gradient
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DOI:
10.17148/IJARCCE.2022.11121
