Computer vision is changing how we see the digital world. Here are three predictions for how it’ll continue to shape experiences in 2023.
Computer vision is being employed everywhere. This field of artificial intelligence trains computers to understand and interpret the visual world. To do this, machines use large sets of digital imagery and videos in conjunction with deep learning models, all of which help them identify, classify, and “see” objects.
Whether it concerns applications in healthcare, commercial industry, or content moderation, we are reliant on computers to understand the world around us. As such, computer vision technologies are integrating into more and more software solutions.
We are well past the age of AI theory. We’re edging out of an era focused on building AI itself. Now, we’re firmly experiencing a bloom of AI in applications.
As you learn more about the future of computer vision, you’ll be curious as to what happens next. Here are a few of our predictions.
1. Expect to a See Growth of AI Applications
The fields of AI and computer vision will grow. According to the Shutterstock white paper, the computer vision market is “set to increase from $6.6 billion in 2015 to $48.6 billion by the end of this year, at a compound annual growth rate (CAGR) of 32.9%.”
A McKinsey report¹ notes that “by 2024, more than 50% of user touches will be augmented by AI-driven speech, written word, or computer-vision algorithms, while global data creation is projected to grow to more than 180 zettabytes by 2025, up from 64.2 zettabytes in 2020.”
More broadly, AI is set to contribute $15.7 trillion to the global economy. This contribution exceeds the current output of China and India combined.
2. In 2023, Computer Vision Will Grow in Numerous Fields
Among growth areas for computer vision, we can expect to see edge computing, healthcare, LiDAR (mapping), retail, health and safety, and autonomous driving. In all of these areas, computer vision will be used to detect and analyze a growing stream of data.
Some examples include:
- Healthcare: Computer vision was important in the COVID-19 pandemic and continues to see use cases grow. Microsoft’s InnerEye software detects tumors and other abnormal cells, by reading 2D images and then rendering them into 3D. Ellogon.ai quantifies significant immunogram biomarkers, such as tumor-infiltrating lymphocytes, using computer vision.
- Retail: Amazon, with its Go Grocer stores, has pioneered the concept of cashier-less stores. These stores are equipped with cameras that recognize which items customers are taking from the shelves. Other retailers are also jumping on the bandwagon, including Tesco, who opened the first checkout-free supermarket.
- Health and Safety: With 2.7 million injuries caused due to workplace accidents every year, computer vision methods have been developed to allow computers to detect unsafe behavior on construction sites.
- Autonomous driving: Since fatigue is a factor in up to 25% of fatal and serious car crashes, systems have been developed that use “cameras to track facial expressions to look for warning signs that we may be getting tired and risking falling asleep at the wheel.”
3. Expect Ethics and Sustainability to Remain a Concern
In 2023, there will be efforts to overcome the most-often cited problem of AI: The development of responsible, ethical AI.
“Those responsible for putting AI systems in place will work harder to ensure that they are able to explain how decisions are made and what information was used to arrive at them. The role of AI ethics will become increasingly prominent, too, as organizations get to grips with eliminating bias and unfairness from their automated decision-making systems,” shares the Future of Tech newsletter².
It’s still a complex moment for AI growth and new technologies. Expect computer vision to be employed in more and more technologies you encounter in your everyday life.
Shutterstock is at the forefront of developing these responsible and ethical AI technologies, and we’re excited to bring them to the world.
Shutterstock’s latest white paper on Computer Vision looks at the growth of computer vision applications across industries. It examines current legal discussions and ethical concerns. It presents a four-point framework for creating trustworthy computer vision and ensuring maximum benefits for organizations and individuals alike.
Footnotes:
- McKinsey Digital “Tech at the edge: Trends reshaping the future of IT and business”
- Future Tech Trends “The 5 Biggest Artificial Intelligence (AI) Trends In 2023”
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