Did you know machine learning institutes in Delhi are training their AI engineers on novel techniques of computer vision, also called machine vision? Yes, if you are fascinated by the new emerging stream of machine learning related to visual recognition, 2021 is a great year, to begin with.
Imagine what happens when you rely on your camera lens to accurately detect the frames and angles to render that perfect image of yours. Most smartphones from the high-end variety are laced with AI cameras that do this exactly.
And, according to the survey on mobile AI cameras, a majority of these users are fully satisfied with the results. But, there is more to this unique AI function within the camera business than what meets the eye. The applications are broad spectrum and we are exploring new ways how machine guided vision works.
In this article, I will explain this unique technology
Machine Vision is Powering New Age AI and Automation for Manufacturing Companies
We have seen so much happening in the field of AI and machine learning in this century. From creating robotic arms to automation platforms, there are numerous examples in the industry that could be termed as game changers for many depleted industries that were staring at a potential extinction during the last decade. For example, many enterprise software companies were facing redundancy and obsolescence from their software markets.
But, things changed suddenly. What happened? The coming of age or maturity of voice AI changed the paradigm for software service providers, especially the ones that are catering to the CRM, Customer management and social media, and so on.
The AI vision recognition system works on the simple combination of highly advanced cameras, sensors, and processors that analyze millions and millions of data points and combine the results to improve the quality of the final image.
Now, powered by machine-guided vision, complemented by voice AI, we have a fully developed robotic system that can hear, see and perform tasks that are expected from manual labors at the generic level of skill expertise.
Here’s an example of machine level voice and vision technology work in tandem.
In an industrial automation process, machine vision tools are used with autonomous control linked to a human operating system. The commands could be manually fit using text or speech. The speech could be recorded or analyzed by a computer system to feed as input into the vision technology system. The final result is delivered through a series of actions performed by the motor arms or driving parts of the mechanical system.
In the commercial world, we can see this sync happening between the in-car voice experience tool and the camera kit fitted into your car dashboard. With voice control, you can control the angle of the camera and also zoom in and zoom out to specifically analyze the terrain. Makes driving so much easy, isn’t it, especially when you have to park your car in the dark, or maneuver through a difficult terrain!
