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Top 10 Computer Vision Companies in India to Watch


Computer vision is an important Artificial Intelligence application that will transform many industries and many business processes. Also known as machine vision technology, this data-driven innovation allows machines to interpret the world visually. This visual data can be in the form of photos, videos, or feed from infrared and thermal cameras too. As a way of imitating the human visual system, the researchers in the field of computer vision intend to develop machines that can automate tasks that require visual cognition. One of the most commonly known examples of this technology is facial recognition.

IEEE Xplore: IEEE Transactions on Intelligent Transportation Systems

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In recent years, the range of sensing technologies has expanded rapidly, whereas sensor devices have become cheaper. This has led to a rapid expansion in condition monitoring of systems, structures, vehicles, and machinery using sensors. Key factors are the recent advances in networking technologies such as wireless communication and mobile ad hoc networking coupled with the technology to integrat... View full abstract┬╗ This paper provides a review of the literature in on-road vision-based vehicle detection, tracking, and behavior understanding. Over the past decade, vision-based surround perception has progressed from its infancy into maturity. We provide a survey of recent works in the literature, placing vision-based vehicle detection in the context of sensor-based on-road surround analysis.

Difference Between Computer Vision and Deep Learning


Over the last few decades or so, the then-technologies of the future like AI and machine vision have now become mainstream embracing many applications, ranging from automated robot assembly to automatic vehicle guidance, analysis of remotely sensed images and automated visual inspection. Computer vision and deep learning are among the hottest topics these days with every tech industry and even start-ups rushing to head on the competition. Computer Vision is an interdisciplinary field of artificial intelligence that enables computers to process, analyze and interpret the visual world. There is a massive number of objects exists in the real world and while different objects might have similar visual appearance, it's the subtle details that separate them from each other. Image recognition is regarded as the most common application in computer vision.

Top 108 Computer Vision startups


Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Country: China Funding: $1.6B SenseTime develops face recognition technology that can be applied to payment and picture analysis, which could be used, for instance, on bank card verification and security systems. Country: China Funding: $607M Megvii develops Face Cognitive Services - a platform offering computer vision technologies that enable your applications to read and understand the world better. Face allows you to easily add leading, deep learning-based image analysis recognition technologies into your applications, with simple and powerful APIs and SDKs.

Why Computer Vision is So Amazing!


One of the most impressive and convincing kinds of AI is computer vision which you've doubtlessly experienced in any number of ways without knowing. Computer vision is the field of computer science that focuses on repeating parts of the intricacy of the human vision system and empowering PCs to distinguish and process objects in images and videos similarly that people do. As of not long ago, computer vision just worked in a constrained limit. On account of advances in artificial intelligence and innovations in deep learning and neural networks, the field has had the option to take incredible leaps in recent years and has had the option to outperform people in certain tasks related to detecting and labeling objects. One of the driving elements behind the development of computer vision is the measure of information we create today that is then used to prepare and improve computer vision.