This project shows how you can bring the Wizarding of Harry Potter to reality with computer vision and machine learning!
The project focuses on a real-time robust human detection and tracking system for video surveillance that can be used in varying situations.
Tutorial on object detection with Kendryte K210 and raccoons!
Perform facial recognition on a doorbell camera and announce who is home over text-to-speech. All data capture and processing is local.
This project used as arduino interface to control the motors, and the Creator Ci20 as image processor with a script in python.
Sudoku-robot is a robot that solves and fills Sudoku grids!
Project ARIES - A system of intelligent and connected autonomous vehicles to provide an immediate response and action to emergency scenarios
iRobbie is the revolutionary app that brings smartphone power to your Arduino project.
Combine the power of autonomous flight and computer vision in a UAV that can detect people in search and rescue operations.
Self-driving rover using computer vision and deep learning to identify and clean up small pieces of trash.
Allows the reading impaired to hear both printed and handwritten text by converting recognized sentences into synthesized speech.
We collaborated with Nanonets for automation of remotely monitoring progress of a housing construction project in Africa.
Using Azure IoT Edge on Nvidia Jetson Nano with Time Series Insights to detect objects in video feeds with offsite recording to the cloud.
Hardware platform combined with DeepLib, an easy to use but yet powerful DeepStream based Python Library, and a web IDE
The title says it all! This project uses OpenCV and a convolutional neural network in PYNQ on an Ultra96 V2 to create a smart lock.
A simple way to identify objects in a room using the Grid-EYE, a Raspberry Pi, OpenCV, and the Helium Network.
Sphero automatically follows you as you walk around, using your phone as leash.
Home robot-tank for AI researches, built with open-source hardware, powered by Raspberry Pi, has OpenCV and TensorFlow onboard.
Connect Nvidia Jetson devices to Azure IoT Central with IoT Plug and Play to command and control DeepStream workloads in a custom dashboard!
Using AI to detect dangerous bacteria and harmful particles in the water.
Push the arcade button to ring "the doorbell" and take a photo -then review on Google Cloud. Adding Vision enables powerful prototyping!
Object recognition and detection for visually challenged people!
In the future, crops will be watered NOT because it is time, but because smart pumps SEE that they are thirsty!
This project uses the Google Vision API to describe things, identify logos, and read text aloud.