Intent Detection Computer Vision Project

Here are a few use cases for this project:

1. Surveillance Systems: The model can be used in an advanced security or surveillance system, where understanding the orientation of people is crucial in civilian safety and crime prevention. Any suspicious activities like a person facing a restricted area consistently can be detected.

2. Human-Robot Interaction (HRI): For robots interacting with humans, detecting a person's facing direction from images or live video feed can enhance the communication and interaction experience. This can be particularly useful for service robots in hospitality or healthcare sectors.

3. Traffic Management: In the context of smart cities, the model can be used in pedestrian traffic management systems to monitor and manage pedestrian flow direction, specifically in crowded places like airports, shopping malls, or sports stadiums.

4. Augmented Reality Experiences: The model can be used in AR experiences where the orientation of the person dictates the content presented. For instance, facing different directions might trigger different AR narratives or information overlays.

5. Advertising Analysis: Retailers may use this technology to track how customers navigate through their stores, determining which products or sections receive the most attention based on the direction customers face when they stop. This information can be used to optimize store layout and advertising placements.