What is Computer Vision?
Computer vision refers to the use of AI algorithms to understand, analyze, and reconstruct visual scenes from image or video content. Computer vision operates through image classification, object detection and tracking, semantic segmentation, image reconstruction, and other capabilities that depend on artificial intelligence algorithms. Computer vision is commonly associated with self-driving cars and security systems, but its use cases are expanding rapidly to encompass fields as diverse as agriculture, medicine, and insurance.
Real-World Use Cases for Computer Vision
Computer vision is coming of age, the market is maturing, and it is growing at a rapid rate. To keep up with the growing market, we break down 5 real-world use cases for computer vision.
Aragon Live: The Future of Computer Vision
In this episode, Marketing Associate, Katie Bartenslager, and Assoicate Analyst and Editor, Adam Pease, sit down to discuss how computer vision is breaking into different markets and how to keep up with this rapidly expanding market.
Agot.AI Brings Computer Vision to Fast-Food
In this blog, we review Agot’s recent funding success and consider what the product’s implications are for the integration of computer vision into the contemporary workplace.
Mobius Labs Brings Low-Code Computer Vision to the Enterprise
This blog describes the implications of Mobius Labs' funding round and the place of computer vision platforms in the market more broadly.
Computer Vision for Critical Infrastructure Protection
This blog discusses the rise of computer vision in critical infrastructure and what this may suggest about the future of computer vision in general.
Watching Plants Grow Goes High-Tech with Computer Vision
Nokia Bell Labs and AeroFarms recently announced their plans to deploy a computer vision system to all of the crops and indoor farms managed by AeroFarms. The partnership signals the growing salience for computer vision in the enterprise—this blog discusses its implications for the market.