Human detector and counter using raspberry Pi microcontroller

A novel initiative towards the digital image processing technique by the application of histogram of oriented gradients (HOG) feature descriptor using the OpenCV library coded with the High-level programming language Python, booted with the help of Raspberry Pi microcontroller fitted with a RaspiCam to capture moving images of objects passing under it has been presented in this paper. The project utilizes image samples in top-view which are used to set predefined models containing a great number of motion variations for identification of humans entering a room through a door or gate. Pair of Passive Infra-Red (PIR) sensors has been used to instruct the system to capture images of incoming or outgoing objects that cross it. This method of image detection combined with a sensor feedback has been used along with an ability to send data via bluetooth to local servers for security or record purposes.