As we prepare for our whitepaper, it’s essential to dive into the technical backbone of Size Matters and the innovative AI algorithm that powers our Proof of Dick Measurement (PoDM) protocol. Here’s how it all works under the hood:
1. Body Parameter Computation
At the core of our measurement process lies the PoseNet algorithm, which runs directly on the frontend. PoseNet is a deep-learning-based system designed to detect and estimate key points on the human body (e.g., shoulders, hips, and legs). By analyzing these body landmarks:
• We derive ratios and measurements based on established human anthropometry.
• These measurements serve as the primary input for further computations.
This ensures that the entire computational process is initiated seamlessly and locally, prioritizing privacy and efficiency for the user.
We’ve added a unique twist to the process by incorporating a mid-hip focal point in our analysis. This design choice not only enhances the accuracy of body ratio calculations but also adds an element of humor and fun to the experience.
By placing a virtual “point” at the center of the hips during measurements, we ensure the app feels lighthearted and engaging, creating a playful vibe while maintaining the technical precision of our AI-powered predictions. This quirky detail helps us strike the perfect balance between delivering accurate results and making the entire process enjoyable and memorable for users.
2. Ethnicity and Age Recognition
To refine our estimates further, we integrate DeepFace, a state-of-the-art facial recognition and analysis library.
• DeepFace is used to analyze facial features and predict the ethnicity and approximate age of the user.