This paper presents an object recognition and tracking method using multiple light detection and ranging sensors (LiDARs) set in an environment. Each LiDAR recognizes objects, such as cars, ...

This report introduces an innovative, low-cost approach to using Arduino as a measurement tool for scientific investigations in education. When using Arduino for science investigations, teachers and ...

The research presents an object recognition approach based on next-token prediction, using a language decoder that predicts text tokens from image embeddings to create labels. Auto-regression is ...

Object recognition and image processing are just two areas where the ImageAI library hopes to assist developers by providing a wide variety of computer vision algorithms and deep learning approaches.

To this end, we develop a novel Gaussian Prototype Learning method for robust tactile object recognition. Particularly, the proposed method converts feature distributions to probabilistic ...

The recognition of this object uses a visual sensor, namely the Pixy2 CMUCam5 camera. The Pixy camera is used to detect colors in objects, which are then processed by the Arduino Mega 2560 using the ...

In this project I have made an object following robot based on Arduino that uses proximity sensors like ultrasonic and infrared sensors (IR) to identify and track objects like the human hand and ...

object-tracker-robot An object tracker surface robot project. It uses 2 Arduinos (One is possible with some modifications) and a single board computer (in this case it is Raspberry Pi with Ubuntu Mate ...

If you are interested in artificial intelligence and gesture recognition you may be interested in a new article published to the official Arduino blog this week by the Arduino Team. Using a ...