I built an automated M&M launcher that finds your face, and shoots chocolate into your hands/mouth/cup!
Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.
The image extraction is based on a novel algorithm which effectively works with the encoding system of the robot movement.
A robotic arm that uses Google's Coral Edge TPU USB Accelerator to run object detection and recognition of different recycling materials.
Pose estimation on a Raspberry Pi to guide and correct positions for any yogi.
Kindbot packs an app, sensors, voice-control, and state-of-the-art computer vision to eliminate guess work & maximize yields.
Using the TensorFlow Lite library, we can flash tiny machine learning models on an Arduino to detect humans from a camera.
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.
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
Combine the power of autonomous flight and computer vision in a UAV that can detect people in search and rescue operations.
Allows the reading impaired to hear both printed and handwritten text by converting recognized sentences into synthesized speech.
Using Azure IoT Edge on Nvidia Jetson Nano with Time Series Insights to detect objects in video feeds with offsite recording to the cloud.
Sphero automatically follows you as you walk around, using your phone as leash.
Using AI to detect dangerous bacteria and harmful particles in the water.
Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform.
breakthrough. automated. [kannon]. instrument.
Vectron AI interfaces with the Vectron 64 computer (6502 CPU @ 1MHz, 32KB RAM, 32KB ROM) to provide gesture detecting AI.
We introduce an IVA pipeline to enable the development and prototyping of AI social applications.
An autonomous car able to drive along a lane and react to roadsigns, obstacles and smart RFID markers, powered by OpenCV and Embedded Linux.
Hack an Arduino toy car and turn it into autonomous rover searching for (and chasing) the human faces with Google Vision AIY Kit.
Using AI to detect and monitor objects, then to connect and record it on the IoT platform.
Use computer vision to control a Nerf gun, aim, and fire, all on its own!