Design & Media: Building Phygital Games with Computer Vision / Automated Persona Profiling
Creative Stack & Specs:
- Core Toolset: Astra (Hardware) + Computer Vision AI
- Target Medium: Phygital (Physical+Digital) Interactive Installation or Digital Profile Generation
Step-by-step Production Workflow:
- Phygital Setup: Configure projector system to display content on room walls. Use hand tracking for control input without physical contact.
- Computer Vision Integration: Implement camera sensors capable enough to track movement (`hand + eyes`) if building any touchless interface based on developer logic mentioned in source.
- Profile Extraction Pipeline: Upload single photograph/imageto the `They See Your Photos` service powered by Google’s Computer Vision API.
- Data Parsing (Analysis): Run image through algorithms designed to extract metadata such as age, income level, political views, religious beliefs, and personal hobbies (e.g., vinyl collecting).
- Marketing Personalization Logic: Map extracted demographic data against commercial product categories like specialty coffee, audio equipment (Ableton Live), stationery (Muji), and apparel (Patagonia).
Style Consistency & Quality Controls:
- Ensure high accuracy of CV algorithm detection even with a singular photo sample.
- Maintain correlation between detected lifestyle habits and recommended consumer goods or advertising targets.
Bottom Line: The ability to derive deep psychographic profiles from a single visual asset demonstrates how computer vision can bridge person-specific content delivery at scale.
! DYOR (Do Your Own Research)