An empirical investigation evaluating how modern facial recognition and embedding architectures respond when tested against synthetic, photorealistic AI-generated human portraits versus authentic physical camera captures.

An in-depth exploration of Midjourney's text-to-image architecture, its distinct painterly aesthetics compared to Stable Diffusion and DALL-E, advanced prompt crafting, and model parameters.

Step-by-step implementation of an end-to-end mobile document scanner: edge extraction, contour sorting, perspective transformation with homography, and adaptive thresholding for clear black-and-white scanned documents.

Designing a biometric authentication gate with depth-based presentation attack detection (PAD). Leveraging stereo disparity on OAK-D spatial AI hardware to defeat 2D screen and paper photo spoofing attempts.

Leveraging MediaPipe Face Mesh's 468 3D landmarks to calculate 3D head poses and render dynamic augmented reality sunglasses, hats, and face masks seamlessly over camera frames in real time.

Combining edge MobileNet-SSD spatial object bounding boxes with pixel-level stereo depth cameras on DepthAI to calculate accurate X, Y, Z metric world coordinates for robotics and spatial monitoring.