Wiznet makers

simons

Published May 18, 2023 ©

30 UCC

11 WCC

3 VAR

0 Contests

0 Followers

0 Following

Provide solutions to help organizations adopt A.I. technologies

I propose to utilize the existing wiznet chip to perform AI projects using ChatGPT.

COMPONENTS Hardware components

WIZnet - WizFi360

x 1


WIZnet - W5500-EVB-Pico

x 1


PROJECT DESCRIPTION

I want to work on a project that combines IOT and AI. Use ChatGPT to train an AI project locally and apply model serving to IOT devices to create an AIOT solution.

  1. WizFi360 
  2. Rasberry Pi  boad
  3. Cloud Computing
  4. Data Base
  5. ChatGPT
  6. Camera Modules

Utilizing the above six pieces of equipment, we can create a solution.

  • While the wired w5500 modules sell well and are important, I think there is another opportunity for WizFi if we can capitalize on its unique strengths.

The industry is ripe for an upgrade from the relatively simple solutions of traditional IOT to AI solutions.

Adaptation examples

  • Detection (Sports collision detection)
  • Tracking(Vehicle Tracking)
  • Classification(Image Classification)

Expectations

  1. Development of AIOT and expansion of industrial scale as it evolves
  2. Lightweighting models to impact the AI industry
  3. Combining AI and IOT can solve many problems

Real Problems

  1. Not easy to apply to AI environments such as IOT storage
  2. Both are rapidly evolving industries, making it difficult to reflect on them immediately
  3. Overcoming hardware limitations

https://github.com/ultralytics/yolov5 YOLOv5

You can utilize yolo to leverage your computer vision AI project.

You can create your own AI module by learning the tasks you want and serving them to the Raspberry Pi.

pip install ultralytics
git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install
Documents
  • Simon

Comments Write