Meet NE301: An open-source Edge AI cam powered by STM32N6. 0.6 TOPS NPU, ultra-low power & zero-cloud privacy. Built for developers.
An open source router using Raspberry Pi 4, PoE(power over ethernet) HaT and camera module V2
Driver Monitoring System to detects & monitor the Driver drowsiness, distraction, yawning, fatigue etc.
Recognize faces, open doors with a servo, and greet visitors by name using text-to-speech—all built visually, no coding needed
StickandSee helps people with visual impairment walk on the street by giving notification of obstacle in front of them
A computer vision-assisted system that accurately detects defects in pharmaceutical pills using Edge Impulse FOMO.
Create a video processing pipeline in the browser and apply image processing filter to create a full functional line follower car.
In many places today, we are required to recognize license plates of various vehicles for a variety of reasons.
Pi-based hemispheric photography and image analysis in R and ImageJ for in-situ monitoring of tree canopy
Using Arduino and RPi to create a home security system. It is part of assignment submitted to Deakin University, School of IT, Unit SIT210/7
A drone that autonomously sanitizes classroom desks which would limit virus exposure and helps schools more efficiently accomplish this task
A Simple mini-project that detects eye blink and controls electrical appliances like lights, fans, etc.
In this tutorial, I go through the steps on how to How to connect 16x2 LCD with Raspberry pi4.
A compact, low-cost IP camera system built using a Raspberry Pi and USB Camera module, powered by custom RTP software written in C++.
A novel idea to efficiently improve the process of retaining lost items in campuses and schools
The Digital Bird motion control system projects offer a complete DIY 3D printable Camera motion control system with all the high end feature
I added wireless single-axis joystick control to a BaseCam gimbal control board using 2 x ESP32-S3 dev boards over Bluetooth Low Energy!
nav-IRIS is a project that uses Machine Learning to recognize traffic signs, interpret their meaning, and manage bot movement.
Have you wanted to create one of those daily picture videos, but you didn't want to align each picture? Well, now you don't have to.
This project shows integration of Ethernet connectivity with the Raspberry Pi Pico and TensorFlow Lite Micro for efficient person detection
Automate plant growth monitoring on Raspberry Pi: capture photos twice daily, seamlessly upload to Google Drive with Crontab.
Interfacing a camera with a Raspberry Pi allows you to capture images or videos directly from the Pi.
Use AI to recognize gestures and then play a real-time rock-paper-scissors game with the user.
Applied initially in PCB inspection
