Image recognition is a popular technology today. Here, computers are used to gain high-level understanding from videos or digital images. Input for the retina, i.e., visual images are transformed into descriptions which can find interface with other thought processes to produce symbolic or numerical information for appropriate decision making and actions. Image data may be in the form of still images from multiple cameras, videos or from a medical scanner. Image recognition technology is widely used to automate tasks which human visual system can do. For more info, visit ImageRecog.com
Image recognition technology plays a vital role in many common applications such as reading of QR codes, optical character recognition (OCR), identification of a particular vehicle in crime detection, operations of a robot arm in identifying and retrieving objects from a bin or conveyor belt and detection of a tag-vehicle at an automatic road toll plaza.