Computer Vision

What are the Top Trends in Computer Vision for 2022?

Remember Joey from the famous American Sitcom- Friends! Despite being one of the most entertaining characters on the show, Joey was definitely not the smartest. Let’s say he was just bad at ‘reading the room.’ And Joey was a human, not a machine.

Twenty years have gone by, and in 2022 there are machines that are not just smarter than Joey but a lot more capable. They can’t just read the room but are good at identifying sounds, images, texts, and other visual and acoustic forms of data, deriving meaningful insights and even progressively learning from them.

And while these machines can do a lot of innovative stuff, everything pales in comparison to the way they read and understand visuals. And that is what we call Computer Vision. Simply put, Computer Vision is a state-of-art AI application with use-cases reaching out to manufacturing, healthcare, security, retail, and more.

Ambitious Computer Vision Trends to watch out for 2022

Computer Vision isn’t as widespread as other AI applications like Natural Language Processing. Yet, it is slowly coming up the ranks, making 2022 an exciting year for larger-scale adoption. Here are some of the trendy computer vision potentials (mostly the domains) that are expected to be better explored by businesses in 2022 and beyond:


Artificial Intelligence is leading a paradigm shift across the automotive sector. And things in 2022 have started moving at a warped pace with computer vision added into the scheme of things. As far as trends and implementations go, Computer Vision for 2022 will make self-driven and connected cars bigger than what they were in 2021.

With best-in-class training data powering the algorithms and high-end annotation techniques making the models more intelligent with time, computer vision for 2022 will focus on transforming autonomous vehicles into intelligent visual readers.

As a result, we can expect the in-car cameras to be able to detect facial expressions better, avoiding accidents by a significant margin. From seatbelt monitoring to developing depending pedestrian tracking modules, Computer Vision in 2022 will change the way the world looks at self-driven cars.


Computer Vision is already making waves in Healthcare. Yet, in 2022, we can expect this AI application to work alongside the likes of Deep Learning to help medical startups develop highly proactive tools and machines— focused on identifying key ailments faster, measuring the loss of blood accurately, improving the diagnostic accuracy, and even offer better medical imaging standards.


With Amazon pioneering the elusive yet much-revered concept of cashier-free stores in the form of ‘Go Grocery’ initiatives, it is a matter of time that Computer Vision, bolstered by other AI tools, starts making it big even in the retail space.

In 2022 and beyond, we can expect these machine-run stores to get bigger as large-scale adoption of Computer Vision will assist with billing, tagging, item recognition using cameras, and faster turnaround times.

You may also like: Top use cases of AI Prompt engineering in 2023

And yes, we can even expect better geo fencing standards with the stores followed by improved aggregated customer behavior analysis.

Please check out: PaydayPot

Edge Computing

In 2022, we can see Edge Computing taking the lead as compared to Cloud Computing in specific areas— especially where data privacy is of paramount importance. Also, with edge computing relying on on-premise tools and real-time interactions between the origin and source, Computer vision in 2022 will aim at providing quicker responses.

The large-scale adoption of Edge Computing will make Computer Vision a technological commonplace in the months to come, reducing the existing lag between data identification, data classification, and data comprehension.


Going deep into 2022, Computer Vision will start impacting the BFSI (Banking, Financial Services, and Insurance) verticals like never before. And while some technologies and implementations like quick KYC processing and fraud detection are already active, expect the startups to bring in the likes of smarter branches, better data extraction, and customer behavior analysis while at ATMs, and other applications.

To get help paying for new computer vision, go to


In addition to the mentioned domains, Computer Vision in 2022 will disrupt surveillance, data annotation, 3D imaging, manufacturing, supply chain management, and other key verticals. With machines starting to get more and more intelligent with each passing day, the current year and the subsequent ones to follow will see Artificial Intelligence and Machine Learning make life easier for the business and customers in the immediate and even distant future.