Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
-
Updated
Dec 12, 2022 - Python
Neuralet is an open-source platform for edge deep learning models on edge TPU, Jetson Nano, and more.
Social Distancing Detector using deep learning and capable to run on edge AI devices such as NVIDIA Jetson, Google Coral, and more.
Object detection at the edge, with Google's Coral dev board
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
Performance testing of 24 Machine Learning models on Raspberry Pi using TensorFlow Lite and Google Coral USB Accelerator
Machine Learning Based Real-Time Traffic Light Alert on Your Car with Raspberrypi
Benchmarking machine learning inferencing on embedded hardware.
Testing Google Coral USB Accelerator's performance with 04 models of Raspberry Pi. Results have shown 10 times faster inferencing speeds with the Coral hardware attached.
Use the TensorFlow Object Detection API to train models for the Google Coral Edge TPU.
Coral Edge TPU compilable version of DeepLab V3
Pigeon Repellent with Artificial Intelligence
High FPS live stream Raspberry Pi cam with object detection by Google Coral EdgeTPU
An AI powered rear facing radar for your bike. Instead of using mmWave radar tech, this project uses an inexpensive raspberry pi zero 2, a camera and Coral.ai TPU accelerator to detect objects behind you.
A simple and real-time traffic monitoring solution using TensorFlow and OpenCV.
This work consists of designing a miniature autonomous car that can follow a road, detect signalisations and obstacles.
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...
Add a description, image, and links to the coral-tpu topic page so that developers can more easily learn about it.
To associate your repository with the coral-tpu topic, visit your repo's landing page and select "manage topics."