During a recent annual developer conference by Facebook, Mark Zuckerberg outlined the plans of the network’s artificial intelligence to build systems that have better perception than humans. He went on to make a demonstration of image recognition technology designed for the blind that could “see” what was happening in the picture and elaborate it using voice.

According to Tech Crunch, Image recognition is taking the world by storm and is being used by many industries from the automotive industry to the social media front. The uses range from programs that aid the visually impaired to safety features fitted in cars to detect large animals to extracting business insights from photos that are shared socially; the possibilities are endless. These benefits are just the beginning.

LDV Vision Summit is already in its third year. The conference is dedicated to visual tech such as VR to medical imaging to cameras and is held annually. According to an organizer of the Summit, Evan Nisselson of LDV Capital, there are tremendous opportunities in image analysis that are arising from the advancements in computer vision. These opportunities are available to every business vertical, from augmented reality to advertising to the automotive industry. Learn more: http://techcrunch.com/2016/04/30/why-image-recognition-is-about-to-transform-business/

Computer vision has benefited from the expansion of open-source, deep learning technology, as with other forms of artificial intelligence. There has also been a growth in user-friendly programming tools as well as faster and reasonably priced computing. Artificial intelligence is referenced by many headlines as the next big thing.

With the help of deep learning techniques, computers can be trained in the identification of what is contained in pictures faster than ever. However, this needs large amounts of data to succeed – Why image recognition is about to transform business.

This is where ImageNet and Pascal VOC come in. These are databases that contain millions of images. The images contain keyword tags that describe what is in the pictures. These open datasets are used as the basis of machine learning when it comes to images.

Among the companies that have made a name for themselves in visual technology is Slyce. Slyce is a company that make use of image recognition, both on phones and computers, to activate image recognition.

This can be on existing product images or by snapping a photo. The company provides image recognition solutions to both retailers and E-tailers. The professionals at the firm are shaping the future of the internet as well as commerce with their visual search technology.

One thought on “Why Visual Search Technology Is The Future

  1. The uses of Visual Search Technology ranges from programs that aid the visually impaired to safety features fitted in cars to detect large animals to extracting business insights from photos that are shared socially; the possibilities are endless, hence the future determines the possibilities. With respect to essay services review, among the companies that have made a name for themselves in visual technology is Slyce. Slyce is a company that make use of image recognition, both on phones and computers, to activate image recognition.

Comments are closed.