An AI (artificial intelligence) model is a program that has been trained on a set of data (called the training set) to recognize certain types of patterns. AI models use various types of algorithms to reason over and learn from this data, with the overarching goal of solving business problems. There are many different fields that use AI models with different levels of complexity and purposes, including computer vision, robotics, and natural language processing.
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.
Chooch AI is creating AI models that can be deployed quickly into the field with clear benefits. Ensuring that workers wear mandated safety equipment can lower insurance costs, increase productivity and save lives. Watch this video that demonstrates how detects when safety equipment isn’t being worn.
Safety and security must be paramount for any business that wants to protect its employees, customers, and assets from potential issues and malicious actors. Yet with more cameras and sensors than ever before, how can organizations lower their risk by quickly and efficiently analyzing the flood of images and videos at their fingertips?
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 you can choose between them.
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. It 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.