Showing my progress in building the dashboard and flight control systems,follow up on channel and github repo to keep track:
Make a voice-activated Internet streaming radio with your Raspberry Pi and Google AIY. Can also be used to play MP3s or other audio files.
They took our jobs, they will take our fun!
This smart dog collar offers an immediate reward marker to reinforce correctly obeying the trainer's commands.
Detect human face details with the help of an Arduino. Store detection results in into cloud data storage.
The project focuses on a real-time robust human detection and tracking system for video surveillance that can be used in varying situations.
This toy will help children learn a new language in a fun and interactive way.
Tutorial on object detection with Kendryte K210 and raccoons!
We aim to bring proper heart care to developing countries. An early detection of these pathologies its vital for an effective treatment.
Double deep learning CNNs with face and emotion recognition, feeding predictive machine learning, to bring you the optimal caffeine kick.
Let's teach Neural Network how to do a job for us.
Fully automated 6'x4' whiteboard. Give it any image and it renders the edges and sketches them in huge, precise, monochromatic glory.
This project uses artificial intelligence (deep learning) to detect when rooms in the house are messy or clean (via cameras & TensorFlow).
The irrigation system based on AI is made with an Arduino UNO and soil moisture sensor. The control system uses neurons to make decisions...
Combine the power of autonomous flight and computer vision in a UAV that can detect people in search and rescue operations.
Implementation real time image captioning and speech on Raspberry Pi by deep learning CNN and RNN.
FPGA-based Binary Neural Network acceleration used for Image Classification on the Avnet Ultra96 based on the Xilinx Zynq UltraScale+ MPSoC.
CNNs on EEG readings help predict seizures with a wearable device. Patients can prepare for an event and reduce anxiety and side effects.
A sassy virtual assistant, with Wolfram API access and real-world control
Faster than real-time! Based on Mozilla's DeepSpeech Engine 0.6.1.
Self-driving rover using computer vision and deep learning to identify and clean up small pieces of trash.
Using Ultra96 and NCS to detect and classify skin cancer.
Now, you can track your parcels using voice commands to a Raspberry Pi running Google Assistant SDK.
Allows the reading impaired to hear both printed and handwritten text by converting recognized sentences into synthesized speech.