Hi, there is too much more to OAK than Realsense or ZED so I will just try to tackle the Computer Vision/ML part. ZED and Realsense are basically 'simple' depth cameras, where ZED also requires external GPU to produce depth. With OAK 4 I can Use all sensor data (High-res images, Depth, IMU), run e.g. Object detection with YOLO, fuse it with depth to compute e.g. object distances and finally send those distance values out to my app/platform. You can use well established libraries like OpenCV, PyTorch and build your whole pipeline on-device so you save bandwitdth and do not need any host PC in most situations. OAK 4 is so powerful that you can run e.g. YOLOv8 Large at 85 FPS or DINOv3 at 40FPS. SImple models like Yolov6 and Text recognition or QR code decoding are running at 500+ FPS so there is plenty of room to combine them to get full vision stack.