Explore the Google Coral Dev Board Micro's capabilities in this comprehensive 33-minute tutorial on low-power object detection. Learn to train a custom MobileNetV2-SSD object detection model and deploy it to the Coral Micro, achieving 8-12 FPS inference speeds using 320x320 color images at under 1 watt. Follow along as the process of data collection, labeling with makesense.ai, model training using MediaPipe, and deployment with the coralmicro SDK is demonstrated. Gain insights into debugging techniques, including visualizing camera output and bounding box information through a web server. Perfect for developers and enthusiasts looking to harness the power of AI in edge computing applications.