Submitted by admini on Thu, 2012-01-19 13:23
Face Detection and Recognition
Face detection and recognition refers to a technology in which human face is detected and a number of its features are recognized in arbitrary digital images automatically by a machine. The technology is primarily employed in images where human face is not the main object in the picture i.e. there are other objects in the image as well, the task of the algorithm is to recognize the face without any human interference at all.
You find our face technology algorithms is in various digital cameras with face detection feature. Here, we use mathematical algorithms to detect face and its features like a smile or eyes. Our further typical face related R&D projects projects are often used in biometric security systems to automatically detect and recognize faces of the people visiting an office building or a public place. Another widespread use of face recognition technology is in image database management by law enforcement agencies and other authorities. An image fed in the system is matched with the database and recognition is returned to the operator. The technology has evolved much since its advent a few years back, face detection and recognition algorithms can easily collect demographical information like age, gender, race and age etc. It is finding new areas of applications with every day passing. Moreover, so far, many large organizations have employed ou R&D services in thi fiels to automate the attendance recording process and keeping records of visitors.
The core of a face detection and recognition system is the algorithm used to detect the face. However, all face detection and recognition algorithms are NOT created equal; a less accurate method can give a large number of false results. When you shop for such an algorithm for your business or personal use, make sure you look for real professionals in the field.
Gender and Age Recognition
Here, our algorithms take image of a person from and subjects it to analysis to extract information regarding the demographics of the person in the image. The technology founds numerous applications. Age and gender recognition technology is based special image processing algorithms, which enable the machine to recognize the person standing next to the camera as male or female without interference of a human.
Gender and age recognition technology will open new frontiers in the industry. As the technology enables a machine, which is most likely a computer, to differentiate the person based on demographics- the machine can then offer more specific services or messages to the person. Marketing firms are using web cameras to recognize age and gender of a buyer in electronics market and then based on the information they play targeted advertisements on TVs, which are of interest to the age group and gender.

