Advances in machine learning have simplified the process of identifying objects in videos, as demonstrated by a tutorial on using Clarifai's APIs to analyze video clips. By utilizing Python and tools such as PyCharm, users can set up an environment to access Clarifai's video recognition capabilities, allowing them to receive JSON responses with detailed predictions. The tutorial guides users through setting up the necessary Python packages, obtaining an API key, and understanding how to send videos for analysis. The Clarifai API returns predictions with confidence scores, and the tutorial provides code to filter and display tags with high confidence for each frame in the video. The approach is versatile, enabling users to incorporate video object recognition into applications, with potential real-time implementation using Clarifai's SDKs.