You work for a company that captures live video footage of checkout areas in their retail stores. You need to use the live video footage to build a model to detect the number of customers waiting…

The Vertex AI Vision Occupancy Analytics model is a pre-trained, purpose-built solution specifically designed to detect and count people in video streams, making it ideal for monitoring customer occupancy in retail checkout areas. Using this managed service allows for quick implementation and minimal effort, directly meeting the project requirements for near real-time detection.

While the Person/Vehicle Detector can detect people, the Occupancy Analytics model is more specifically designed for counting and occupancy analysis, making it a more precise fit for detecting the 'number of customers waiting for service'.

Training a custom AutoML object detection model requires collecting, annotating, and training data, which goes against the requirement for a quick implementation with minimal effort.

A Seq2Seq+ object detection model is not a standard pre-trained or minimal-effort solution for this task, and custom model training is explicitly excluded by the 'minimal effort' requirement.