Applications of computer vision range from helping in medical diagnostics and inspecting products for quality control to optimizing crop yields and monitoring livestock health, showcasing the promise of the technology.
Today, almost every industry has embraced digital technology in its quest to survive in the competitive market. In order to build brand growth and loyalty, businesses nowadays have to follow the latest tech trends. One such technological concept that has recently gained tremendous popularity from industries worldwide and also tech-enthusiasts is computer vision. And what exactly is computer vision all about? Well, computer vision refers to machines that have image-processing capabilities and can respond appropriately to different situations in various surroundings.
Let’s take a day-to-day scenario to explain the concept in simpler words. When we look at a particular thing or a person, our brain starts capturing the images simultaneously. While all this happens, our brain processes the captured images to understand the situation and the surrounding for reacting accordingly. For example, if we see a known person, our brain signals us to greet the person or interact with her. Similar things happen with computer vision systems. Computer vision includes three steps - capturing images/videos in real-time, processing the acquired content with AI, ML, and DL, and taking actions based on processing results. Realizing the remarkable potential of computer vision, several industries have already embraced this technological breakthrough to grab the opportunities it presents. Let’s take a look at some compelling applications of computer vision in the industries listed below:
Manufacturing, an industry that has had to deal with the production of items according to evolving customer expectations, is not new to adopting new-age technologies. Computer vision has also made inroads in the manufacturing industry to benefit companies with its novel applications.
From shelf merchandizing to quality assessment, retailers are piled with numerous tasks to ensure high customer satisfaction levels. As AI-enabled computer vision can think as humans do, the machines can automate a majority of cumbersome tasks. This can help retailers to focus on more critical roles, which can help in achieving productivity goals and generating greater revenue. And, it is quite impressive to know that even in its infancy, 30 percent of retailers will use computer vision by 2020. Let’s check out some potential applications of computer vision in the retail industry.
Another industry that has always been an early adopter of modern-age technologies is healthcare. Digital technology helps the healthcare industry to precisely diagnose and treat diseases, helping patients to recover quickly. One such technology, computer vision, is set to revolutionize the way hospitals have been diagnosing and treating their patients. The report from MarketsandMarkets reveals that the market for computer vision technology in healthcare will reach 1457 million dollars by 2023.
Applications of computer vision extend far beyond just the ones mentioned above. The technology has innovative uses in the logistics, real estate, and insurance industry too. Indeed, the scale at which computer vision is changing the landscape of various industries is quite impressive. In the future, as the technology matures, industries will identify more breathtaking business applications and use cases. To survive and thrive in the competitive market, industries (regardless of the size and the work they do) should evolve with these technological innovations.
Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.