This workflow automates the process of searching for images on Google based on a specific keyword, analyzing those images using AWS Rekognition to identify labels, and then logging the image details along with detected labels into a Google Sheet. It starts with an HTTP request to fetch images related to ‘street’ from Google Custom Search API. The selected image’s title and link are extracted and stored. Subsequently, the image binary data is sent to AWS Rekognition to detect labels, which are then captured and appended to a Google Sheet along with the image’s name and link. This workflow is ideal for automating image analysis and record-keeping tasks, especially in scenarios like monitoring street scenes for research or project documentation.
Automated Image Search, Label Detection & Data Logging
Node Count | 0 – 5 Nodes |
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Nodes Used | awsRekognition, googleSheets, httpRequest, set |
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