YoVDO

Sensor Fusion Using Machine Learning for Smart Forehead Temperature Sensing

Offered By: tinyML via YouTube

Tags

Sensor Fusion Courses Machine Learning Courses

Course Description

Overview

Explore sensor fusion techniques using machine learning for smart forehead temperature sensing in this tinyML Asia 2021 conference talk. Delve into PixArt Imaging's innovative solution that combines FIR sensors, ultra-low-power CMOS image sensors, and machine learning processing chips to efficiently detect human presence, measure forehead temperature, and identify mask usage. Learn about the background, applications, and benefits of this integrated approach in response to COVID-19 pandemic demands. Gain insights into the challenges faced, data processing flow, and the advantages of low-power sensors in this context. Discover how Tiny Machine Learning enhances this application and its potential impact on automated temperature measurement methods.

Syllabus

Intro
Welcome
Agenda
About pixar
Low Power Sensors
Advantages
Hardware
Image Processing
Low Power Intelligent Upgrade Detection
Data Process Flow
Challenges
Data
Heat Influence
Thermal Image
Benefits
Applications
Summary
Questions


Taught by

tinyML

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent