Smart device detects shower sound and warns via Home Assistant when the fan is off, preventing steam build‑up and stopping mould growth
Homework, or a homework assignment, is a set of tasks assigned to students by their teachers to be completed outside the class.
Collect irrigation level data by thermal imaging, build and train a neural network model, and run the model directly on Wio Terminal.
This project demonstrates how to control the PMOD I/O on the KV260 carrier board and develop IP for it using Vitis HLS.
Collate forearm muscle soreness data on the SD card, build and train a neural network model, and run the model directly on Wio Terminal.
Robot that drives around autonomously in greenhouse environment and identifies diseases.
Via OpenCV, recognize villagers to display their birthdays, loves, likes, and hates while playing Stardew Valley on LattePanda Alpha.
A smart device that detects running faucets using a machine learning model and sends alert messages over a cellular network.
Realtime lighting control, live temperature, lighting and electric cost monitoring, real time energy cost calculation and anomaly detection.
Drowsiness detector by artificial vision software programmed in python with machine learning techniques and Euclidean geometry.
Supercharge Your ZUBoard: Unleasing Unprecedented Performance with the Hailo-8 AI Accelerator.
Translating Sign Language into English speech in real-time using an AI Model trained using a convoluted neural network.
Collect data to train a NN to detect synthetic fertilizer contamination. Then, get informed of the results via WhatsApp over LoRaWAN.
This device classifies human emotions, snores, sign languages, visual objects using EI and provide haptic feedback through Neosensory Buzz.
This article is on general steps and methods for creating the Vitis AI enablement project with DPU design in 2024.x tool for Kria or MPSoC.
We created a robotic hand that reacts to your hand gestures—powered by Android Things and built on the NXP Pico i.MX7 development board.
Deploying Tiny machine learning at the edge, on Xilinx Zynq Devices.
Enhancing Retrieval-Augmented Generation with Graph Neural Networks and Reinforcement Learning
Edge Impulse based TinyML model using Audio data acquisition to predict the vehicle failures like faulty drive shaft, Brake pad noises.
Track lateral and vertical movements of a 3D printer via AprilTags. Then, get informed of malfunctions related to motion via Telegram.
A model of neuronal functioning & synaptic modification allow replications of drives, behaviors, affects & learning (Operant Conditioning).
Develop a simple, low-cost AI-powered wearable with the XIAO nRF52840 Sense that detects hand gestures and controls real-world devices.
The sequel to my Raspbinator Terminator Skull project.
Multiple Object Tracking with the use of the DeepSORT algorithm based on YOLOv4 object detector tested and benchmarked on edge devices.
