Retail shrinkage is a multi-billion-dollar sore fundamental problem in the retail industry. According to the National Retail Federation, in 2019, the inventory loss due to shoplifting, employee theft, or other errors and fraud reached $61.7 billion in the United States alone. To overcome the issue, retailers have implemented various loss prevention strategies and techniques, from electronic article surveillance, reporting systems, surveillance cameras, and plenty of policies to control the shrink.
Image recognition is one of the most advanced, and most widely used, applications of artificial intelligence. In this article, we’ll discuss the difference between an image recognition SDK and an image recognition API, and how the choice is clear when considering computer vision platforms.
Researching AI solutions? Recent technology breakthroughs have made edge AI a go-to method fro implementing computer vision. Need evidence? Market intelligence firm IDC has predicted that the number of edge AI processor shipments will soar to 1.5 billion in 2023, with a five-year annual growth rate of 65 percent. But what is edge AI exactly, and how do edge AI platforms work? Keep reading for all the answers.
As artificial intelligence technologies continue to develop and advance with the advances in deep learning and more powerful GPUs, businesses are taking notice. But deciding to use enterprise AI solutions is just the tip of the iceberg—in particular, you need to decide between a single-purpose AI system vs. an AI platform. In this article, we’ll discuss why AI platforms are generally more flexible, expandable, and agile than alternatives such as a single-purpose AI system.
This round table was hosted by Irena Cronin, CEO of Infinite Retina. Speakers include Robert Coneybeer, Managing Director & Co-founder, Shasta Ventures, Everette Phillips, Director, Lyric Robot, Brian Crowley, CEO, Alitheon, Lindy Rauchenstein, Lead Scientist, Computer Vision, Artie, and Emrah Gultekin, CEO & Co-founder of Chooch AI
As computer vision is becoming increasingly sophisticated, it brings business benefits to a wide variety of industries. From defect detection to loss prevention, computer vision is a powerful tool with the potential to improve processes and results in many contexts. But before we dive into the use cases of computer vision, let’s define what it is.
This 30 minute panel from NVIDIA, Convergint Technologies & Chooch AI discusses advances in edge AI performance and deployment and is followed by Q&A. The implications for costs savings and quality improvements from edge AI are massive for every industry. Chooch AI performs rapid AI training in the cloud, then exports AI models to industry leading NVIDIA Jetson devices. The edge AI deployments achieve extreme response-time performance of 0.02 seconds on multiple video feeds with extremely high accuracy for a wide variety of use cases. As a systems integrator, Convergint is able to help clients design, deploy, and manage advanced AI Video solutions using Chooch and NVIDIA technology on a global scale.
Facial recognition is often seen in a bad light due to our fear of Orwellian surveillance states. But facial recognition – when used for the public good especially in the form of facial authentication – can bring numerous benefits. Because while facial recognition certainly can be employed in some shady ways, facial authentication actually increases individual security rather than decreases it.
Join a panel from NVIDIA, Chooch AI & Convergint Technologies to discuss edge AI deployment strategies that achieve breakthrough performance in this 30 minute technology for business presentation followed by Q&A.
Computer vision and artificial intelligence have been used for years in the media and entertainment industries—but thanks to recent advances in deep learning, the potential applications of image recognition are broader than ever before. What’s more, these technological developments coincide with an explosion in the use of images and videos, especially for marketing and advertising purposes. It’s estimated that 1 trillion photos were taken in 2015 alone, and posts with visual content receive 94 percent more visits and engagements than text-only posts.