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.
Counting and identifying cells is a tedious and time-consuming process. In many cases, highly paid Ph.D. scientists perform these tasks in the fields of histology, immunology, oncology, and pharmaceutical research. Unfortunately, the painstaking process involves long hours of looking at samples under a microscope and manually counting each cell – even worse, traditional cell counting methods leave a lot to be desired in terms of accuracy.
Chooch AI, the leading computer vision AI platform, has been cited for accelerating adoption of computer vision–powered solutions across industry verticals by leading research company IDC. Chooch AI models are ready to deploy now both in the cloud and on edge devices. Clients include Fortune 500 companies and the US Government. Partners include NVIDIA, Intel, Dell, Deloitte, Convergint and Vantiq.
Ready for Drone AI and Security AI? This webcast is presented by Security Systems News and Security Industry Association featuring Asylon, Ceva Logistics and Chooch AI. Joe Goodings, Director of Standards at Security Systems News moderated the panel. Jim McDonald, VP of Global Security, CEVA Logistics, Logan Selby, Vice President of Operations at Asylon, and Michael Leal, Vice President of Strategy and Growth at Chooch AI present.
Computer vision is a broad and well-established field that has developed many different subdomains and applications—so which of them is best for your organization? Defect detection is a task in computer vision with the goal of recognizing potential defects, errors, anomalies, and issues with products or machinery.
Computer vision is a subfield of computer science, artificial intelligence, and machine learning that provides computers with an “understanding” of digital images and videos. The ultimate goal of computer vision is to enable machines to “interpret” visual data in the same way that humans do—detecting objects, people, faces, events, actions, even time.