Ever needed a performance boost when running Machine Learnt AI Systems (like facial recognition) with a Raspberry Pi Single Board Computer? Or wanted some Depth Data from your Camera feed? Then the OAK-D Lite is for you!
Full Article (with Terminal Commands, 3D Printable Mounts and more AI Scripts!) - [ Ссылка ]
OpenCV AI Kit Depth = Oak-D
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This is a single USB-C powered module that sports 3 Cameras and a suite of circuitry. It is like a Google Coral but with auto-focusing cameras. It has an autofocus RGB high-resolution 4K central camera that can run at 60FPS and two 480P Binocular Vision (Stereo) Cameras that can run at 200 FPS. There is also internal circuitry to the Oak-D Lite that does the hard yards of machine-learned processing and provides the Raspberry Pi with the results. Thus this offloads the computational operations to the module and leaves your Raspberry Pi free and capable to perform other tasks. The brain of the OAK-D Lite is an Intel® Myriad™ X Visual Processing Unit (VPU).
OAK-D was the world’s first Spatial AI camera and OAK-D Lite is Luxonis's most recent offering. The two stereo cameras pointed forwards enable the OAK-D Lite to create depth maps and determine accurately the distance to identified objects. This is similar to human binocular vision, except much more accurate. They both can run multiple neural networks simultaneously for visual perception tasks like object detection, image classification, segmentation, pose estimation, text recognition, and more while performing depth estimation in real-time. Also, Happy Birthday to me! A number of these machine-learned systems I have explored before running directly on a Raspberry Pi 4 Model B, Face Recognition with the Raspberry Pi, Hand and Gesture Control with Raspberry PI, and Object Detection with the Raspberry Pi (to name a few). But none of these guides run at the high FPS (frames per second) or high resolution like the OAK-D Lite. This higher FPS speed unlocks new AI capabilities and ways to stack multiple AI systems in a single Python script that I have not been able to explore with previous hardware.
This guide will demonstrate exactly how this kind of AI processing can be harnessed by the everyday maker, whilst allowing them a peek in the programming back room to see and understand exactly what levers there are to adjust. By the end of this guide, you will have a Raspberry Pi single-board computer with a Spatial AI Camera capable of keeping up with the most current advances in Edge Machine Learnt technologies. Edge computing is the idea of pushing computing and data closer to where they are used, which means no cloud computing.
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OAK-D Lite - [ Ссылка ]
OAK-D (Original) - [ Ссылка ]
Raspberry Pi 4 Model B (4GB) Ultimate Kit Bundle (AVALIABLE!) - [ Ссылка ]
USB3.1 to USB-C Cord - [ Ссылка ]
Raspberry Pi Single Board Computers and Gear: [ Ссылка ]
0:00 Intro
0:33 Oak-D Lite Overview
1:04 Depth Overview
1:35 OAK-D Lite on LEFT, Oak-D Original in MIDDLE, Raspberry Pi on RIGHT
2:07 What You Need
3:12 Assembly of Hardware
4:40 Software Set Up
5:55 Luxonis GUI Demo
7:59 GUI Demo Exploration
11:45 Available Open Source AI Systems
12:15 Remote Heartbeat Monitoring with AI
14:20 Face Blurring with AI
15:20 VR Projected CAD Control
16:12 Where to Now
16:49 Outro
