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Real-time smart video analytics application development and edge device deployment is a tricks task. In the last few years, the industry players built platforms to support this activity. Notable examples include NVIDIA Metropolis, Intel’s OpenVINO, and AWS Panorama. While these solutions make some aspects of the video-analytics application development more straightforward, there are still many issues to deal with before deploying a video analytics application in production. This post introduces SpyGlass, the first in a series of open-source tools to make developing AWS Panorama application simpler.
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aws-panorama-samples
This repository has samples that demonstrate various aspects of AWS Panorama device and the Panorama SDK
Backpack is open source and available on GitHub. You can build and run the example docker container on an ARM64 based system. For example, suppose you’ve already set up the Panorama Test Utility on a t4g type EC2 instance. In this case, you can build and launch a shell in this container with the following commands on the EC2 instance:
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Photo by Lucas George Wendt on Unsplash
