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Title |
Secure Internet of Things Based Human Detection in Computer Vision |
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Author |
Fatima Ashraf, Sheraz Arshad Malik, and Muhammad Ayub Sabir |
| Citation |
Vol. 24 No. 10 pp. 154-158 |
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Abstract |
Billions of the objects around us are transformed to the IoT device by connecting them with the internet and control in that way of collecting and sharing data. Privacy is required to keep the data save from the security attacks in internet of things. Computer vision is used for monitoring the people. Computer vision algorithms, application and tools are primarily used in IOT for human movement’s analysis. Traditional system and algorithms are unable to detect the human in a perfect manner. Use of the thermal camera is degraded the movements of human detection. In this paper we propose a new IoT system that is combined with the latest feature of computer vision to detect the position using computer vision. It is a useful technology that helps to keep an eye on your house and office. It will alert you if anybody enters your home or office and do any harm at your place. For that purpose, the credit card size Raspberry PI card will be used. Histogram of oriented gradient (HOG) algorithm is used to detect the person in the image. |
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Keywords |
Computer vision, Internet of Things, Raspberry PI, Histogram of oriented gradient |
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