DL and GenAI Hands-On with the Raspberry Pi
Teach your robot to find a path in a maze of traffic cones using the camera and state-of-the-art deep learning model.
The system prevents you to forget the mask at home and also remind you to sanitize your hands when come come
Training and synthesizing a BNN for a very small Zynq SoC.
This is a Cheering Watch using M5StickC and M5StickV. Estimate what action you are taking from this device acceleration and cheer up!!
In the new version 0.4.9Class of HuskyLens, a new function “Object Classification” is released.
Learn how to configure and boot your Jetson Nano for the first time.
Use Pixy2 and Arduino to train your robot car to follow road signs!
An embedded application for wake word detection which is implemented on Arduino Nano 33 BLE Sense
This project contains my entry to the Build2gether Inclusive Innovation Challenge with Hardware from Blues and Useful Sensors
Classify various traffic signs using Deep Learning
Hydra is an Intel OpenVino Deep Learning based Apple Vegetation Monitoring and Feeding system integrated with AIoT Technology
We experiment with visual anomaly detection to develop techniques for reducing bandwidth consumption in streaming IoT applications.
AI-powered easy-to-use vision sensor which can learn a new object, face, and color just by clicking.
Use machine learning to build a system that can recognize audible events, particularly your name through audio classification.
Using ML to detect pests, mosquitoes, cutting trees using audio analysis. Also predicting fire, greenhouse adaptation and plant growth.
Autonomous humanoid robot uses Edge Impulse YOLO-Pro model on Particle Tachyon with Qualcomm AI Accelerator for balls detection and kicking
Based on Raspberry Pi, myCobot Pi has gradually become a necessity for RPI lovers.
Use the Coral Dev Board Micro to listen for potential leaks and then leverage the onboard camera to remotely view the pipe.
We have build the DPU TRD for Ultra96 FPGA as the "DPU Integration Tutorial - GitHub, Xilinx."
EdgeAI made simple - Exploring Image Processing (Object Detection) on microcontrollers with Arduino Portenta, Edge Impulse FOMO, and OpenMV
An experiment of using SEFR, a fast and simple tiny machine learning classifier to detect colors on an Arduino Nano 3.0 (ATmega328P).
NeuralPi is a Raspberry Pi guitar pedal using neural networks to emulate real amps and pedals.
Controlling DJI Tello drone with gestures via the M5Stack FIRE module and Edge Impulse.
