This project is built upon vision processing and IoT. Google Cloud connected camera for all difference classification and detection
Computer Vision Exploration with the help of OpenMV, Edge Impulse and Arduino.
A home brew robot using a Raspberry Pi cluster to experiment with AI, machine learning, and robotics.
This tutorial will take you through the steps required to get started on the WisCAM Linux Camera module from RAK Wireless.
Intelligent camera module featuring advanced AI, voice interaction & night vision capabilities. Ideal for Surveillance & Smart Assistants
Use a DFRobot MiniQ chassis to create a robot that streams video over WiFi. It can be used to move around your house and spy on anything.
TCP controlled camera keeps tracked object in center of video.
Reduce water consumption by triggering irrigation events when drought stress is identified via Arduino image classification.
Make your own hand command classifier and deploy on Edge AI device - Google AIY Vision kit.
MaskCam is a smart mask detection camera based around the Jetson Nano that features 30FPS video processing and web server connectivity.
Magia Transformo is a playful physical experience with digital augmentations.
Learning Image Classification on edge devices (Android)
Have AI watch your 3D prints without a mothly fee using Seeed's Vision AI Module V2 and Home Assistant.
When using Vizi-AI to inference from either a video or webcam I wanted to drive something in the real world. Enter Twilio integration.
Teach your robot to find a path in a maze of traffic cones using the camera and state-of-the-art deep learning model.
With a custom image classifier running on the ESP32-CAM you can match FlipperZero payloads with recognized targets
An Alexa voice-controlled, Lego robot that can read and turn pages of books for the visually impaired.
This reference tutorial shows the details and steps for "interfacing Avnet-FMC-HDMI converter with ZedBoard and implementing Sobel HLS IP".
This easy-to-build system will notify you via text message when it detects a face it doesn't recognize.
Creating a MIPI Imaging platform in PYNQ we can use to explore the Vitis Vision Libraries.
Our research study aims to improve accessibility for visually impaired and blind people by developing a novel image captioning system.
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.
