The field of 3D computer vision is rapidly expanding, with a growing number of applications emerging for 3D world understanding and interpretation. Modern trends in extended reality (XR), metaverse, digital twins, the automotive industry, and AR/VR clearly indicate that efficient machine learning, computer vision, and data processing solutions have a high demand in the 3D domain.
The iPhone isn’t just a device for consumers – it’s also a powerful computational unit with a wide range of sensors and hardware that’s ideal for running machine learning algorithms. By leveraging this capability, businesses can enjoy low-latency performance, local inference, and significant cost savings by avoiding cloud infrastructure fees. At It-Jim, our team of mobile AI developers is here to help you harness the power of the iPhone for your business needs.
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.
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.
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. Signals are used to encode information in almost every imaginable domain.
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 (DL) algorithms and, in particular, convolutional neural networks (CNNs), automatic analysis of visual information is reaching a new level.
The new future is literally at your fingertip – with fascinating technologies like mixed or augmented reality, making interaction with digital content a truly immersive experience. More and more industries are now turning towards AR and MR to get more advanced customer engagement: entertainment, retail, healthcare, sports, education, real estate, gaming, engineering, interior design, etc. With augmented reality technology, different types of content like images, video, text, audio, and 3D models are superimposed on real-world objects.