How Image Recognition Technology Is Changing Our Lives

Technology in today’s world is a very curious beast. There are many people who are confounded and do not understand how it works and even have trouble operating a smart phone. Computers have been on a steady incline of advancement since the 80’s and are only going to grow more and more complex as the years go on. The technology that they employ finds a way to seep into the fabric of our daily lives for better or for worse. However, the benefits to having stronger technology are stronger security, safety and interaction.

With the rise of apps, many people are taking to their phones to use software that can perform useful operations. Even on desktop computers, software has become so advanced that we can now use webcams and image capturing software to alter and interact. This advanced technology has given rise to image recognition. Image recognition is software that can detect faces, logos, words, objects and people. This software is often present on devices such as computers, phones, and cameras. An optical device to scan the area in or around a person is often required.

Image recognition falls into a field of artificial intelligence where the software detects certain patterns through the lens of the camera and then uses that information to perform certain operations. One example of this is seen in photographic cameras as facial recognition, where when taking a picture of someone, a box forms around their face in order to focus the lens and create a clearer picture. Image recognition software has many different practical uses and one of the most recent is using a camera lens on, say, a smartphone to detect telephone numbers on paper or other mediums and having it transfer over to the phone itself to be used to call, text or store.

Other practical applications that are gaining steam concerning image recognition software are security and safety. Many car companies are using image recognition software in their cars as a means of preventing accidents. An example this is when backing a car up, a camera in the back of the car may alert the driver when they get dangerously close to bumping something. While driving, image recognition software may be used to help alert the driver when they are falling asleep, to prevent an accident. In order to do this, the camera inside the car, focused on the driver’s face, detects if the eyes of the person driving are closing and then emits a piercing buzzing noise to jolt the driver awake.

Another great application for image recognition is security. Many high-tech companies and top-secret facilities are using facial recognition to help protect their buildings from intruders. The computers inside the building keep a database of faces of the employees that work there and before entering, people must look to the camera and if their face is a match, they are admitted.

One of the leading companies in the field of image recognition technology, Slyce, has made significant strides in perfecting the use of image recognition in many different mediums. Slyce launched its visual recognition platform in February of 2013 and is headquartered in Toronto, Canada. With many different uses for image recognition technology, you can be sure that with companies like Slyce and bright minds in the rapidly growing field, the future is going to be way more interesting.