Главная
Study mode:
on
1
Introduction
2
Strategic partners
3
TinyML Summit
4
TinyML Talks
5
About Ukraine
6
Speaker
7
About our company
8
Case study DTEK
9
Hardware Software
10
Hardware Examples
11
Software Examples
12
RD Activities
13
IMU Theory
14
Additional Details
15
Other Use Cases
16
Motion Recognition
17
Demo
18
Questions
19
Battery life
20
Common filter
21
Endtoend deployment
22
Data labeling
23
Model validation
24
Hardware chipset
25
Device status monitoring
26
Certifications
27
Firmware upgrades
28
Local data storage
29
Collision avoidance
30
MQTT broker
31
Data collection
32
Poll
33
Model size
34
Future releases
35
Collision avoidance beacons
36
Summary
Description:
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

tinyML
Add to list