Having a digital camera with a feature to count people in a gathering without recounting a face will help to fortify modes of acquiring attendance figures for large gathering and provide exact data for records. There have been convectional methods used to know attendance in a gathering such as ticket sales. For some other gathering it is manually determined by dividing an area occupied by a crowd into sections, determining the average number of people in each section and multiplying the number of sections occupied. Aerial photography and satellites are also used for crowd counting.
These methods provide close estimation and conflict sometimes when two or more methods are used. Digital camera technology develops yearly; the technology proposed in this paper suggests adding a new feature to digital cameras, such that it can be used to count people in a gathering aside covering the event normally.
To have this feature, face detection and face recognition technology will be used. Face detection to detect human faces and count them; such that faces counted will be saved temporarily and the face recognition technology will ensure that faces counted at the time will not be counted again. This paper presents crowd count feature in details.
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General Terms Digital Camera, Computer Vision 1.
Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary images, it simply detect faces and ignores everything else. This technology is used for applications like video surveillance and image retrieval. Face detection technology is also used for computer-human interaction. 
This also makes it measure up for use for the crowd count feature proposed in this paper. Face recognition is a biometric identification by scanning a person’s face and matching it against a library of known faces. It is used for applications such as security systems and psychological processes.  The face recognition technology will compliment the face detection technology to accomplish the crowd count feature proposed here.
To achieve this crowd count feature; face detection technology will detect faces; such faces are counted and saved temporarily in a library. Since the camera will still be used for its convectional purpose, it will return to positions where it has counted faces. The face recognition system will help compare faces with those in the library to ensure that no face is recounted. Facial images will be stored temporarily to avoid count repetition; saved images are automatically deleted after that viewing session especially when figures have been computed. This feature is expected to have high accuracy since it is concerned with detecting human faces. This technology will give correct figures since its accuracy will exceed other methods of crowd counting.
The interesting part of this technology is that it will be a feature that can be enabled or disabled in coming models of digital cameras. Meaning that along with a camera’s high resolution, high zoom lens magnification and picture quality; digital video cameras will also be used to count people …