Boulder AI Briefing Note



Document ID: CGBN115 | Last Updated: Mar. 25, 2018

One of the key capabilities that Artificial Intelligence (AI) provides is the ability to perform a wide range of computer vision tasks, from image recognition and identification to anomaly detection and object counting. However, it’s a challenge to get access to AI-enabled computer vision capabilities when you are disconnected from the network and operating with limited compute and storage resources. Boulder AI’s DNNCam Deep Learning Camera, is a low-power, environmentally tough device that provides built-in, on-board AI capabilities “at the edge” — without needing a network connection to central servers, cloud, or other external sources to provide accurate, effective, and efficient computer vision functionality.

Login Or Register


Register to View Event


Get The Boulder AI Briefing Note


AI Best Practices

Get the Step By Step Checklist for AI Projects


Login to register for events. Don’t have an account? Just register for an event and an account will be created for you!