Hup is an AI home assistant that watches out for you, offering visual task recognition, reminders, and configuration to your needs. It detects clutter, identifies safety hazards, checks on family members/pets, creates tasks automatically, sends real-time reminders, tracks habits, and integrates with Hup Cameras.
A lightweight intelligent solution designed to monitor and identify abnormal vibration patterns in real-time. The project details the hardware (XIAO ESP32-S3, Grove Shield, LIS3DHTR accelerometer) and software (SenseCraft AI platform) used to detect vibration anomalies. It explains the GEDAD algorithm used for learning normal vibration patterns and identifying deviations.
This document provides a developer guide for the Tiny Code Reader from Useful Sensors, a small, low-cost hardware module that reads QR codes. It covers connecting, mounting, powering up, reading data, configuration, sensor characteristics, example code, privacy considerations, and an appendix with data formats and CAD files.
A review of the Tiny Code Reader, a $7 QR code sensor, detailing its setup, functionality with I2CDriver, limitations (tight centering requirement), and internal components (RP2040 microcontroller and Arducam image sensor).
This article details a project to display sensor data (temperature, humidity, pressure, luminosity, date, time, and IP address) on an ESP32 CYD board using LVGL and a 2.8" TFT touchscreen. The project uses a BME280 sensor and a built-in LDR on the CYD board, retrieving the current date and time from the WorldTimeAPI via WiFi. It guides users through the necessary setup, including installing libraries (LVGL, TFT_eSPI, ArduinoJson, Adafruit BME280), configuring WiFi credentials, and wiring the BME280 sensor. The code creates a responsive table to display the data, with a refresh button for updates.
AI-On-The-Edge-Cam is an ESP32-S3 board with a 2MP camera, microSD card, WiFi, BLE, and PoE Ethernet connectivity designed to digitize legacy utility meters such as water meters, gas meters, or electricity meters that require manual onsite reading. It supports Tensorflow Lite, has a web interface, and integrates with Home Assistant.
phyphox turns your smartphone into a mobile lab, allowing you to use its sensors for physics experiments. It offers data export, remote control, and the ability to create custom experiments. The project has received several teaching awards and is supported by various organizations.
Meshnology offers a range of IoT and Meshtastic related products including ESP32 LoRa modules, batteries, antennas, development boards, sensors, and cases.
The article announces the launch of the OpenMV AE3 and N6 cameras on Kickstarter. These cameras feature onboard AI acceleration for computer vision applications, making them suitable for various Edge AI tasks. The AE3 is a compact, efficient device with dual NPU cores, while the N6 offers higher performance with a larger form factor and more features.
This article provides a hands-on guide to classifying human activity using sensor data and machine learning. It covers preparing data, creating a feature extraction pipeline using TSFresh, training a machine learning classifier with scikit-learn, and validating the model using the Data Studio.
