Sieve: Process ~24 hours of video footage in <10 min (semantically searchable per-frame!)

This page summarizes the projects mentioned and recommended in the original post on /r/JetsonNano

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
  • automatic-video-processing

    Discontinued Turn any live video stream or locally stored video into a dataset of interesting samples for ML training, or any other type of analysis.

  • It's why we built Sieve. Sieve is a simple API that allows you to store, process, and automatically search your video data–instantly and efficiently. Just think 10 cameras recording footage at 30 FPS, 24/7. That would be 27 million frames generated in a single day. Instead, with our API, you can take raw video footage that you captured on the edge in your deployment environments, upload it, query based on different metadata like motion, number of people, lighting, contrast, etc. and download a dataset of relevant labeled images.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts