In computer vision, action recognition is the task of identifying when a person in an image or video is performing a given action. AI models can be trained to recognize a variety of actions, from running and sleeping to drinking, falling, or riding a bike.
Healthcare facilities throughout the world are suffering from critical staff shortages, and the COVID-19 pandemic has only made the situation worse. According to November 2020 statistics from the U.S. Department of Health and Human Services, 18% of U.S. hospitals said that they were critically short on medical staff. Patient monitoring AI can dramatically improve the ability of hospitals and medical facilities to monitor situations.
Within the field of computer vision, there are many possible subfields and tasks, each of them suitable for different applications. Event detection is a subfield of computer vision that analyzes input videos with the goal of determining when a particular anomalous event has occurred. AI models for event detection can be trained on a wide range of potential occurrences, from recognizing fights and traffic accidents to identifying falls, smoke, and fire.
The field of computer vision seeks to help computers “see” images and videos at a high level, in the same way that humans can—but within this domain, there are many different subfields and applications. Facial authentication is a task in computer vision that seeks to verify a person’s identity by using their facial characteristics and features as biometric identifiers.
Computer vision is an extremely broad domain with dozens of subfields—so it’s no surprise you might get all these applications mixed up. Image recognition is a task in computer vision that seeks to identify the single best label for a given image, based on the most prominent object, person, or activity within the image.
Computer vision is a tremendously broad field, with dozens of domains and potential applications. Motion tracking is a subfield of computer vision that seeks to follow the motion of a person or object across multiple frames in a video.
The speed of technological innovation in the healthcare industry has been moving at a breakneck pace for decades. Now, artificial intelligence – and computer vision solutions in particular – are now poised to deliver increasingly powerful benefits to patients and providers. In this webinar you will learn about a wide range of solutions including cell identification, procedure tracking, gesture analysis, safety and security.
Computer vision can offer benefits to your business ranging from greater efficiency and productivity to dramatically lower expenses—but are you familiar with the different subdomains of computer vision, and which one might be right for you?
Chooch AI models have been developed and deployed for a growing number of applications and demos are available for these healthcare applications. Now, we’ll be demoing a wide variety of applications in healthcare at HIMSS 2021 in the startup area C100-78. Please contact us to meet. We also contribute a blog post to HIMSS about the value of computer vision in healthcare and did a healthcare podcast with HIMSS.
Executive computer vision briefings from Chooch AI cover a wide variety of topics – from computer vision use case, to edge AI deployments, to partnerships with smart cities technology providers. Please get in touch if you would like a deeper dive into any of these computer vision solutions.