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.
The massive growth of IoT devices and its new applications is driving edge ai with an explosive increase in revenues expected to go from 2.8 billion U.S. dollars in 2019 to 9 billion by 2024. The rise of edge computing has been significantly transforming how organizations are collecting their data, processing it, and gaining insights for more data-driven business decisions. But, what is an edge device?
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.
Over the past decade, computers using deep neural networks have been able to approach—if not exceed—human performance at object recognition tasks. In 2015, the PReLU-Net deep network became the first computer model to surpass human accuracy on the ImageNet 2012 dataset, with 4.94 percent error compared with humans’ 5.1 percent.
Chooch AI offers live ai demos to enterprises that understand the value of computer vision and are seeking to replicate human visual tasks. If your organization is seeking a demo of the Chooch ai platform, please request a demo and we will provide you with a calendar link to schedule a time.
Chooch AI is a visual AI platform that can process real-time images and extract relevant metadata. Emrah Gultekin CEO and founder of Chooch AI explains how their solution solves a fundamental problem in Visual AI, the ability to acquire visual expertise in a structured way similar to human knowledge. Originally published by IT Chronicles.
Carl Lewis host of The Connected Enterprise Podcast, an exploration of the stories of market leading businesses and how they connect and collaborate in the digital economy. In this episode, Cark interviews Emrah Gultekin, CEO of Chooch. Originally published on Vision 33, you can read the transcript below or Listen to the Vision 33 Podcast