An AI platform has many advantages, the most powerful being the ability to create many possible solutions, providing greater flexibility and agility over single-purpose systems. That’s why Chooch has built an AI platform that makes it easy for organizations of all sizes and industries to bring computer vision into their workflows – from data collection, to training, to inferencing on the edge and in the cloud.
In this 15 minute presentation, Emrah Gultekin, CEO of Chooch AI, presents how the Chooch AI platform ingests visual data, trains the AI, and exports AI models to the edge. This allows scalable inferencing on the edge on any number of devices from any number of cameras. A transcript of the presentation is provided below the video.
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.
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.
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.
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.
Deploying IoT involves the installation of infrastructure, specific sensors, computers and cameras. However, to successfully deploy IoT this must also include real-time analytics, and introducing AI technologies into the mix creates AIoT.