Computer vision is that field of science which deals with increasing the understanding of computers till the point that they develop an understanding to look at and understand the digital content ranging consisting of images and videos. This study can be defined as the sub-field of artificial intelligence and machine learning, focusing on utilization of specialized methods and learning algorithms. This method is utilized to extract the information available in the digital content and providing this information to the concerned consumer
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Computer vision market is growing due to adoption of artificial intelligence into the business segments, demand for image and video analysis applications from various industry segments; the effects of these factors are mentioned below:
Strategic acquisitions and product innovations presented by various market players:
The market is segmented on the basis of component as hardware, cameras, frame rate, format, standard, sensor, frame grabbers, optics, LED lighting, processors, FPGAS, DSPS, microcontrollers & microprocessors, visual processing units, others; software is categorized into traditional, deep learning; product as PC-based, smart camera based; vertical as industrial, non-industrial.
“According to Data Bridge Market Research, global computer vision market is expected be growing with a substantial CAGR of 8.2% during the forecast period of 2018 to 2025”
Some of the major players operating in market are Google LLC, Facebook Inc., Microsoft Corporation , Nvidia Corporation, Mercedes-Benz , IBM Corporation, Autoliv Inc., PlayfulVision, Wikitude GmbH, Cognex Corporation, National Instruments Corporation, General Electric, VideoIQ, KLA-Tencor Corporation, Cognex , Basler, OMRON, KEYENCE Corporation, Sony, Teledyne Technologies, Texas Instruments, Intel, Baumer Optronic, Tordivel, ISRA VISION, MVTec Software, MediaTek, Cadence Design Systems, CEVA, Synopsys, SICK and JAI A/S among others.
Computer vision is finding a valuable application with the wide-spread demands of Industry 4.0, also known as “The Industrial Internet of Things”. This trend focuses on automation of manufacturing applications and various other different industries, and thereby requires the usage of artificial intelligence, machine learning for its successful deployment. One of the major technologies associated with this implementation is computer vision, which essentially improves the capabilities of computers of their surroundings resulting in faster processing.