Computer Vision

Being one of the most exciting AI fields, computer vision is a multidisciplinary area that deals with intelligent processing of visual information. It is behind the scenes of fingerprint recognition and biometrics in your smartphone, automated translation from an image, automotive safety, streamlined visual inspection of mass production, and many other fascinating tasks. Here, at It-Jim, we are passionate about computer vision R&D and engineering.

Computer Vision
Image processing
Image processing

Since any arbitrary physical parameter can be encoded and visualized as an image, proper digital image processing solutions can be really handful in projects from many domains. Indeed, visual information like images and videos is the most widely used in all businesses, which is no surprise as the human brain instantly understands and interprets it. Basically, image processing can be considered as a type of two-dimensional signal processing applied to image pixels.

Machine Learning

Today, when we have long entered the era of artificial intelligence, computer vision (CV) could not stay aside from various techniques of machine learning (ML). Moreover, with a rapid progress of deep learning algorithms and, in particular, convolutional neural networks (CNNs), automatic analysis of visual information is reaching a new level.

Machine Learning
Signal Processing
Signal Processing

From smartphones to wearable devices, from healthcare to finance, signal processing is much closer than you think. Basically, any information can be represented as a signal: speech, audio, image, video, text, stock or electricity prices, medical parameters or any other arbitrary data. The signal processing engineering, then, can be used for the extraction, interpretation and transformation of many different types of information.