Explore the journey of tinyML from face detection demos to real-life commercial deployment in this 25-minute partner session from the tinyML Summit 2021. Delve into Emza Visual Sense's experience in driving tinyML to a design win, planned for deployment in millions of notebooks. Discover the challenges of bridging the gap between available demos and real-life use cases, addressing issues such as object distance and light conditions. Learn about the potential of tinyML in consumer applications, the advantages of using low-cost MCUs, and the technological advancements needed to convert demos into successful business implementations. Gain insights into topics such as contextual privacy, adaptive dimming, and the impact of COVID-19 on the development process.
TinyML Journey: From Face Detection Demo to Real-Life Commercial Deployment
Overview
Syllabus
Introduction
CES 2019
Map out the landscape
Nonprivate domain
Use cases
Demo
Contextual Privacy
Adaptive Dimming
Questions
Challenges
Specifications
Detectors
Two stages of detection
ML vs Neural Network
COVID19 impact
Illumination
Production
Evolution
Conclusion
Sponsors
Taught by
tinyML
