fbpixel
Raspberry Pi object detection and TensorFlow Lite

Raspberry Pi object detection and TensorFlow Lite

To improve performance on the Raspberry Pi, you can use the C++ language and optimized libraries to accelerate the computation speed of object detection models. This is what TensorFlow Lite offers. A good place to start is QEngineering. Hardware Raspberry Pi 4...
Object detection with Yolo on Raspberry Pi

Object detection with Yolo on Raspberry Pi

It’s possible to embed object recognition models like Yolo on a Raspberry Pi. Of course, because of its low performance compared with computers, performance is lower in terms of real-time recognition. However, it is perfectly possible to develop algorithms using...
Bluetooth communication with ESP32

Bluetooth communication with ESP32

In this tutorial, we’ll learn how to activate, manage and test Bluetooth on an ESP32 using the Arduino programming language. Bluetooth is a wireless technology widely used for communication between electronic devices. It enables you to quickly transform your...
Training a TensorFlow2 model with Keras

Training a TensorFlow2 model with Keras

In this tutorial, we’ll train a MobileNetV2 TensorFlow model with Keras so that it can be applied to our problem. We’ll then be able to use it in real time to classify new images. For this tutorial, we assume that you have followed the previous tutorials:...
Object recognition with Yolo and OpenCV

Object recognition with Yolo and OpenCV

In this tutorial, we’ll look at how to perform object recognition with Yolo and OpenCV, using a neural network pre-trained with deep learning. We saw in a previous tutorial how to recognize simple shapes using computer vision. This method only works for certain...
Prepare an image bank for Model training

Prepare an image bank for Model training

To prepare an image database for training a neural network in object recognition, you need to recognize the images in the database yourself. This means giving them a label and a recognition zone. This tutorial follows on from the article Creating an image bank....
Object recognition with TensorFlow and OpenCV

Object recognition with TensorFlow and OpenCV

In this tutorial, we’ll look at how to perform object recognition with TensorFlow and OpenCV, using a neural network pre-trained with deep learning. We saw in a previous tutorial how to recognise simple shapes using computer vision. This method only works for...
Lightweight Raspberry Pi image backup

Lightweight Raspberry Pi image backup

We present here a method for making a light backup and restoring a Raspberry Pi. Creating a backup, an image of your Raspberry Pi, is essential in the event of SD card corruption or power failure. On Raspberry Pi and other single-board computers, the SD card often...
Creating an application with React Native and VSCode

Creating an application with React Native and VSCode

In this tutorial, we’ll look at how to program a smartphone application using React Native and VSCode. React Native is a powerful tool for creating cross-platform applications (Android, IOs) using the JavaScript language. Visual Studio Code is a code editor for...
Text recognition with Python

Text recognition with Python

In this tutorial, we’ll look at how to recognize text from images using Python and Tesseract. Tesseract is a tool for recognizing characters, and therefore text, contained in an image (OCR, Optical Character Recognition). Installing Tesseract Under Linux To...