Explore practical applications of TinyML for industrial safety and personnel performance monitoring in this tinyML Talks Ukraine presentation. Delve into Leantegra's journey from custom MCU-side ML algorithms to implementing a standard TensorFlow Lite stack for RTLS devices. Learn about TagML, a customized version of TensorFlow Lite for UWB and BLE tags used as wearables or embedded in industrial equipment like cap lamps for underground miners. Discover use cases focusing on personnel safety and performance monitoring through motion recognition from IMU data. Gain insights into hardware and software examples, R&D activities, IMU theory, and various industrial applications. The talk covers topics such as battery life, data labeling, model validation, device status monitoring, certifications, firmware upgrades, collision avoidance, and future developments in the field of industrial TinyML implementations.
TinyML Talks Ukraine - Practical TinyML for Industrial Safety and Personnel Performance Monitoring
Overview
Syllabus
Introduction
Strategic partners
TinyML Summit
TinyML Talks
About Ukraine
Speaker
About our company
Case study DTEK
Hardware Software
Hardware Examples
Software Examples
RD Activities
IMU Theory
Additional Details
Other Use Cases
Motion Recognition
Demo
Questions
Battery life
Common filter
Endtoend deployment
Data labeling
Model validation
Hardware chipset
Device status monitoring
Certifications
Firmware upgrades
Local data storage
Collision avoidance
MQTT broker
Data collection
Poll
Model size
Future releases
Collision avoidance beacons
Summary
Taught by
tinyML
