MARCH 27TH, 2014
At A.N.Lab, we develop various applications based on the image-matching and AR (Augmented Reality) technology.
For example, we have developed applications to detect celebrities’ faces from recorded TV programmes, to do book stocktaking from bookshelf pictures, or to recognize corporate logos on paper printings.
Continue reading “Introduction to image-matching principles”
MAY 14TH, 2019
We have been working on image recognition for almost ten years, for various clients and business cases.
There are many ways image recognition technology can be applied to drastically improve work efficiency.
In this article, we are going to introduce these examples.
JUNE 3TH, 2014
PicMatch is the engine to search for images matching with a given image.
PicMatch can search through several hundred thousand images in a database in a few seconds.
At A.N.Lab, we have recently been developing smartphone applications utilizing ultrasound technology.
The smartphone microphones can record the sounds of frequencies up to 22 kHz (22,000 Hertz), but human can only recognize the sounds up to 20kHz.
That means the sounds in the range from 20kHz to 22kHZ is non-audible to human, but is “audible” to smartphone applications.