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The ability to perform tasks like human beings is one of the characteristics of Artificial Intelligence, a constellation of technologies capable of bringing efficiency and resource savings to the industry. Computer Vision is one of the examples of advancement, acting directly on image processing in a more advanced way than human vision. If we follow the dictionary definition of the term Artificial Intelligence (AI), we will face a series of technological possibilities, including the ability of machines to learn and act in a similar way to humans. The difficulty in defining AI lies precisely in the breadth of its performance, after all, it is not something unique and immutable, in addition to being far from reaching its maximum potential. Basically, AI can be defined as a constellation of technologies capable of transforming the way we see the world today, especially in the industrial sector. This is the case with Computer Vision, a branch of AI that has been transforming the industry due to its ability to capture and process images in a more advanced way than human vision. If defining AI and its different branches in a single concept is a challenging task, presenting its ability to bring advances to the market is the solution found by Pix University, a project dedicated to demystifying concepts for industry leaders interested in adding innovation, efficiency, and resource savings to the companies they work in. Want to know more about computer vision solutions? Discover here!
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Market innovation with artificial intelligence and computer vision
Image: Artificial Intelligence and Computer Vision
Both AI and Computer Vision should be viewed as business strategies. After all, their introduction into organizations is capable of bringing competitive advantages, agility in production processes, and cost reduction. The estimate is that AI solutions will continue to expand in 2022, proving their applicability in different segments. In the case of Computer Vision, it is possible to capture and process images faster and more securely than human vision, ensuring better repeatability of the evaluation within quality standards. This is the case with solutions that operate in the predictive maintenance of conveyor belts in the mining sector and item counting in the steel industry. Contrary to what one might imagine, investing in technology in industry decreases production costs, reduces wasted money, and expands the capacity to produce more in less time. A global trend, investment in innovation by major players in the global market grows every year. According to Forbes Magazine, cumulative revenue from image recognition and classification systems, for example, will exceed $8 billion by 2025.
Disruptive technologies in industries
The ability of machines to perform tasks with levels of intelligence similar to those of human beings can surprise and even cause a certain strangeness. However, it is undeniable that the global technological landscape has grown exponentially, opening doors so that technology can help managers in solving problems in a cheaper and more efficient way, generating value for production chains in an unavoidable way. According to an estimate by the Brazilian Agency for Industrial Development (ABDI), the introduction of AI technologies in the equipment maintenance process carried out in industries can generate savings of up to R$ 35 billion per year. Of the total amount, R$ 31 billion are linked to productivity efficiency gains, which proves the urgency of adopting disruptive solutions in the most diverse industrial sectors. The reduction of maintenance expenses is just one of the points in which technology in the industry can act. After all, meeting the real pain points of the market is the main mission of businesses focused on the development of disruptive technologies. Making leaps in productivity and promoting safer conditions for workers' activities is another advantage possible thanks to the new solutions available on the market. Estimates point out that every 48 seconds a worker has an accident in Brazil, which proves the urgency of technology in the industry as an ally to human labor. The myth that hovers in the collective unconscious linked to machines completely replacing human action needs to be overcome, after all, disruptive technologies are ready to protect workers from repetitive and high-risk tasks. This is the case of counting items in the industry, a repetitive and exhaustive process, as can be understood here.
Why invest in innovation?
The inclusion of new technologies in the production chain can be carried out gradually, following the main needs of each company and segment. In this process, relying on the work carried out by startups specializing in the development of disruptive technologies becomes essential, especially for organizations that need to find cheaper solutions for real demands faced in production chains. By betting on partnerships with startups already consolidated in the market, managers have the possibility of making more assertive and secure decisions, having in hand advancements that go far beyond the simple automation of tasks. This is precisely the necessary posture in the post-pandemic world, swallowed by an unprecedented technological acceleration that must be followed by organizations that do not wish to lose space in the market. Research shows that more than half of Brazilian executives observed growth in the digitalization of operations during the pandemic. Businesses evolved months or even years ahead of what was expected, thanks to the incorporation of technology experienced in recent months. Following the flow of innovation is the task of managers who intend to evolve their sectors in the coming years. Want to keep learning? Understand here the use of Computer Vision in image capture in industry.
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
