Hi friends! Today’s tutorial is Part 03 of the Raspberry Pi learning series. You will learn how to transmit video that from PiCamera library over the wifi. This video stream can be received on any mobile device connected to wifi and can open up an HTML webpage. Again, in this tutorial, we do not require Flask or Django. All we need are two libraries; 1) picamera and 2) pyshine.

This is an experiment to assess the performance of Coral USB Accelerator with various versions of Raspberry Pi computers while running a TFLite Machine Learning Image classification model (MobileNet V1). The metric of performance is the time taken by the various Pis during inferencing process. With each Pi, the performance is observed with and without Coral USB Accelerator. You can see the drastic improvement in the inferencing speeds when the Coral USB Accelerator is used. The results are summarised through a graph.
#CoralUSBaccelerator #RaspberryPi #CoralAI

Download Code and Model files:-
https://github.com/jiteshsaini/coral_USB_ml_accelerator.git


Read the article:-
https://helloworld.co.in/article/google-coral-usb-accelerator-performance-raspberry-pi-3b-3a-4b


More Projects 👇👇

****** Robotics: Level 1 ******

👉 Making of Web-based Raspberry Pi Robot
https://youtu.be/69w6Q40CBWw

****** Robotics: Level 2 ******

👉 Interfacing Camera with Raspberry Pi robot and Creation of Web Control panel
https://y…

Learn how to perform object detection and image classification using the Google Coral USB Accelerator and your own custom Python scripts.