Real-time bike detection and instance counting running on Raspberry Pi with Google Coral TPU.
Wheat Detection + Edge Device for Agrobot
Comparative of the performance of computer vision models designed by hand and models designed using Hardware-Aware Neural Architecture Search (HW-NAS)
Train, Quantize and Export a YOLO model for the Coral USB Accelerator.
A library to help with the development of AI models with Keras, with a focus on edge / IoT applications. Based originally on https://github.com/yingkaisha/keras-unet-collection
ROS 2-based real-time emotion recognition with Coral Edge TPU, using a quantized Mini-XCEPTION model trained on FER-2013.
Simple Computer Vision-based Security Camera object detector for Home Assistant
Includes Coral Dev Board Setup Guide (v1.0 - Model 2019), Edge TPU Server and Remote Client Setup
Coral TPU, Haar, AprilTag, Caffe, Object Detection with ROS publisher and Flask MJpeg Stream
Work in the form of a research internship at TUM. Consists of benchmarking the inference of ML models on different hardware.
A framework to make Google Coral hardware easier to install, manage, develop, test, and deploy.
Experiments with the google coral edge TPU. Using image segmentation to create a greenscreen virtual cam for OBS
Pocket Kitchen | Custom TensorFlow object detection for food items with Raspberry Pi, HD Camera and Coral TPU
Raspberry Pi and Coral TPU based Dalek automation - enables the Dalek to recognise friends and foes and either welcome or shout at them. Includes convincing dalek voice and integrates with dome and iris lights and servo to provide additional scares...
Real-Time Tracking Turret project using the Coral Edge TPU and mobile-net SSD.
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