Boulder AI Briefing Note

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.

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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.
Briefing Note PDF. Source: Copyright © Cognilytica LLC