Automated video analysis

Title: Python Developer Needed to Automatically Catalogue Comics from Video into Excel I have overhead iPhone videos showing comic books being placed on a table one at a time. I need a simple Python-based tool that processes the video and creates an Excel spreadsheet containing one row for each comic. The tool should: 1. Detect each comic shown in the video. 2. Capture the clearest frame of each comic cover. 3. Crop and straighten the cover image. 4. Identify the comic as accurately as possible using the cover, visible text, barcode, OCR, online comic databases, or an existing image-recognition API. 5. Create an Excel spreadsheet with: * Embedded cover image * Series title * Issue number * Publisher * Publication year, when available * Confidence or review status * Image filename * Notes column 6. Clearly mark comics that cannot be identified confidently so I can review them manually. The camera position, lighting, and background will remain consistent. Comics will be shown individually with a brief empty-table gap between them. Requirements: * Runs locally on Windows * Full source code included * Simple setup instructions * May use existing open-source projects and APIs * A basic script is acceptable; I do not need a polished application or custom interface This is a proof-of-concept project. Please explain briefly how you would approach it and provide examples of relevant Python, OpenCV, OCR, image-processing, or inventory automation work.