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Machine Vision and the Impact of Artificial Intelligence
For many years, machine vision was extremely limited in its application due to required highlight-controlled environments, expensive sensor technology, and restrictive feature detection technology. The advent of new Deep Learning (DL)-based machine vision technology is set to change the dynamics of this technology and ignite the industry, creating new classes of applications and enormous market opportunities. Machine vision technology is in the process of transition and dramatic expansion.
In this report, ABI Research takes a deeper look at the technology developments that have taken place in the machine vision space, the technical challenges in implementing machine vision, the new applications enabled by DL-based AI, and the total size of the machine vision market opportunity. This report gives a holistic overview and assessment of vendors in every segment of the machine vision technology stack: sensor manufacturers, chipset vendors, software suppliers, DL-Frameworks, and the end market applications and purchasers of the technology.Continue
Reports & Data
Robots, for the most part, are highly inflexible systems that cannot operate outside a highly structured environment. This does not matter so much if their task is arc welding or assembly, but if the use case dictates an unstructured, unmapped, or uneven environment, then today’s robots are not up to the task of mass deployment. While emphasis is played on the value of machine learning and the drive toward collaboration, all this potential means very little if the systems cannot locate themselves within a workspace, map out their surroundings, and navigate accordingly. Fortunately, advances in localization, mapping, and navigation, enabled by sensors and machine vision, are changing this.
On November 27, 2017 , ABB and Kawasaki announced they would form a strategic partnership on sharing knowledge and promoting industry awareness about the benefits of collaborative robotics. The partnership comes at a time of considerable optimism regarding the present and future health of the collaborative robotics market. Collaborative robots are human scale systems that are easy to set up and program, are capable of being used by workers with a wide range of qualification levels, can support multiple types of automation, and can work safely near human workers.
Every client is assigned a key member of our research team, based on their organization’s needs and goals. And, an unlimited number of Analyst Inquiry calls are available to answer your specific questions.
ABI Research is developing its forecasts for the potential growth of robotics in industrial and commercial applications. As the primary market for robotics traditionally, the industrial space is seeing a number of varied developments; including relative stagnation among the major industrial providers, challenges related to connectivity and cloud operations, the rise of the Chinese market, the use of cobots and the introduction of mobile robots for in-house logistics. In the commercial space, advances in navigation and mobility have opened robotics to a range of verticals. But how do commercial entities, with very little experience, deploy and manage these solutions?
Our webinar will also address the following questions:
- What is the mid-term outlook for the Industrial Robotics market and dynamic for future growth?
- Where will future revenue come from in relation to hardware and software products and services?
- How important are some of the more nascent robotic technologies like cobots and exoskeletons relative to the traditional technology?
- Which verticals will see the largest opportunities for commercial robotics?
- Which types of companies (both providers and end-users) are best placed to succeed in this new environment?
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