Use OpenCV and Tesseract on MaaXBoard to find letters in magazine pages for your ransom note.
A system which is capable of locating a license plate in a given car
Yogal is a Tensorflow. js web app developed to provide relief through recommended yoga poses for menopause symptoms right on your browser
Python is a very handy language to develop a multifunctional application with including Image, Hardware interface and etc...
We will learn step by step, how to use a PiCam to recognize faces in real-time.
IoT Raspberry Pi security camera running OpenCV for object detection. The camera will send an email with an image of any objects it detects.
Vectron AI interfaces with the Vectron 64 computer (6502 CPU @ 1MHz, 32KB RAM, 32KB ROM) to provide gesture detecting AI.
Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.
Version 2 of my lane detection system!
A robotic arm that uses Google's Coral Edge TPU USB Accelerator to run object detection and recognition of different recycling materials.
Are you having problems in compiling OpenCV in Raspberry PI? Here you can learn how to do it easily.
Simple road lane detection on Raspberry Pi 3 using OpenCV and Python. Frame rates obtained up to 17 FPS.
A simple lane detection system I had developed a while back.
Pose estimation on a Raspberry Pi to guide and correct positions for any yogi.
A pan/tilt servo device helping a camera to automatically track color objects using vision.
A motion tracking airsoft or Nerf gun turret with autonomous and manual operation modes, controlled by a Raspberry Pi.
This project shows how you can bring the Wizarding of Harry Potter to reality with computer vision and machine learning!
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!
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.
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