New notebook + 1 video + 1 image file

[anurag-openai]

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Summary

Briefly describe the changes and the goal of this PR. Make sure the PR title summarizes the changes effectively.

This PR introduces a detailed notebook demonstrating how to leverage GPT-4o's vision capabilities for analyzing video frames to extract structured operational insights in a manufacturing warehouse. It provides step-by-step instructions, best practices for bounding boxes, structured data extraction, confidence scoring, and cost considerations to effectively implement an AI-driven monitoring system.

Motivation

Why are these changes necessary? How do they improve the cookbook?

Warehouse managers often lack real-time visibility into their operations, relying instead on delayed or manual reporting methods, leading to reactive rather than proactive decision-making. This contribution addresses these issues by using GPT-4o's vision capabilities to analyze video footage, enabling rapid identification of safety concerns, monitoring space utilization, and detecting operational inefficiencies in near-real-time. This significantly improves decision-making speed, enhances safety compliance, and reduces operational inefficiencies.

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