The last
few decades have seen technological advancements at a pace much faster than the
preceding many decades. Bar codes, magnetic stripes and smart cards are
inseparable from the modern day lifestyles. With such widespread ingress of
technology in our everyday lives, highly sophisticated recognition technologies
have also become an integral part of our lives. Some of the more prominent
recognition technologies in use today include image recognition, iris
recognition, speech recognition and auto recognition. In addition to crime
detection, these recognition technologies find widespread usage in safety,
security, identification, detection of traffic violations and facial
recognition etc. They greatly facilitate automation of tasks which human
sensory systems can do.
Here, we briefly look at the different types of recognition technologies that are in use today.
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.
Iris recognition is being used successfully in many passport-free automated border-crossing programs and also in national ID programs. The system works fine with eyeglasses, clear contact lenses and non-mirrored sunglasses. For more info visit, IrisRecog.com
Here, we briefly look at the different types of recognition technologies that are in use today.
Image
Recognition
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.
Iris
Recog
Iris
recognition technology is based on the fact that the complex random patterns in
each iris of an individual are unique and stable and can be seen from some distance,
quite unlike retinal scanning. It is a widely used automated biometric
identification method today. Search with the database of enrolled templates is
extremely quick with a low false-match rate. Many million people around the
world form the database for iris recognition systems.
Iris recognition is being used successfully in many passport-free automated border-crossing programs and also in national ID programs. The system works fine with eyeglasses, clear contact lenses and non-mirrored sunglasses. For more info visit, IrisRecog.com
Speech
Recognition
Speech
recognition is a rapidly developing technology in the field of computational
linguistics. It deals with the recognition and very often translation of spoken
language into text using computers. In addition to using the research and
knowledge in the field of computer science, it also depends heavily on
linguistics and electrical engineering. Speech recognition technology finds
usage in speech to text processing, aircraft direct voice inputs and e-mails.
It is also used to verify or authenticate the identity of a speaker during a
security exercise.
Significant
progress has been made in the field of speech recognition technology in the
last two decades. However, many more hurdles still remain to be crossed before
this technology too finds its place in the day to day lives of the common
people and government agencies alike. For more info, visit SpeechRecog.com
Audio
Recognition
Voice recognition
technology is a very recent development in this field. For getting the output
on the computer screen, one had to type on the keyboard. With voice
recognition, one can simply talk to a computer. In other words, as you speak,
you can see your spoken words on the computer screen. This greatly increases
the speed on your working on the computer. People with a variety of physical constraints
or even disabilities can use this technology in a very efficient manner.
Voice
recognition plays a very important role in virtual reality too. As the user
speaks to his computer, he is free to control the simulation in whatever manner
he wants as his hands are totally free. Fans of virtual reality find this to be
a real boon for them. For more info visit, AudioRecog.com
Auto Recognition
Auto recognition technology, also
called Automatic Identification and Data Capture (AIDC) is perhaps the most
widely used recognition technology today. It is also referred to as Auto-ID,
Automatic Identification and Automatic Data Capture. Here, external data in the
form of images, videos or sounds is obtained or captured and analyzed. A
transducer is used to convert this data into digital form. It is stored as such
for reference and use in future. The data is captured and stored without any
human involvement.
Common applications of Auto recognition technology include Radio Frequency Identification (RFID) for tracking moving objects like vehicles and cattle, bar codes, Optical Character Recognition (OCR), magnetic stripes, smart cards and biometrics like iris and facial recognition systems.
