Data collection automation, IoT and sensor technology applications and solutions in industry

AIRE, in collaboration with TalTech Faculty of Engineering, Institute of Industrial Mechanics, is organizing a webinar to introduce the possibilities of data collection automation and IoT in industry. The webinar presents the possibilities of using sensor technologies and the different solutions using industry examples. All interested industrial companies are invited to the comprehensive webinar with practical application examples and experience stories.

Participation in the webinar is counted as minor aid (VTA) in the amount of €200 per participant.

TARGET GROUP
Small and medium-sized processing industry (EMTAK C) and manufacturing companies are invited to participate. The webinar is aimed at employees of industrial companies who want to get acquainted with smart production systems, modern solutions and solutions based on sensor technology and examples of their implementation (industrial managers, engineers, foremen, automatists, mechatronics, technicians and locksmiths, industrial operators, product manufacturers, warehouse workers, electricians, IT specialists etc.).

PURPOSE
The objective of the webinar is to introduce the Internet of Things (IoT) applications to industry in relation to sensor data collection, analysis and practical examples. To introduce modern usage possibilities in the automation of industrial processes based on smart systems and to introduce the possibilities of artificial intelligence application. The webinar will be conducted by subject matter experts from TalTech Institute of Industrial Mechanics.

➠ Participants of the webinar will receive a certificate of continuing education from Tallinn University of Technology.

THEMES
– Automation of data collection
– What is IoT (internet of things) and how it is applied in industry
– Modern applications of sensor technologies in industrial automation
– Data collection, data protection in industry, we implement
– The future of technology, future opportunities and weaknesses
– Artificial Intelligence Application Experience Stories
– Practical solution examples from industrial companies (Alise Technic, Kulinaaria, etc.)

➠ Registration deadline for the webinar is April 25, 2023

SCHEDULE

10:00 – 10:10 Introduction
10:10 – 11:00 Automation of data collection and overview of the Internet of Things (IoT); possibilities of use; what types of data can be collected and what can be done with that data; different examples of solutions
11:05 – 11:45 The future and weaknesses of technology; coherence with AI application capabilities
11:45 – 12:00 Break
12:00 – 13:10 – Practical examples and experience stories of industrial companies (projects with AI-based applications)
13:10 – 13:15 – Summary of the webcast

TEACHERS

Tõnis Raamets Tõnis has over 20 years of work experience in the field of automotive and delivery. He has been involved in the management and development of the Estonian Machinery Industry Association for a long time and is familiar with the daily problems of manufacturing companies in addition to a number of product development and production projects. Tõnis is currently working as a doctoral student-junior researcher at Tallinn University of Technology, and his main research area is the development and implementation of digital optimization and control models in production processes. Tõnis has been a member of the artificial intelligence and robotics center AIRE since the beginning of 2022.

Karl-Robert Läll TalTech Institute of Industrial Mechanics. Karl is a TalTech specialist and graduate student who teaches the IoT subject at the MA and BA levels at TalTech. Karl has worked for many years in the TalTech Autonomous Vehicle Laboratory, where his daily task is testing and developing iseAuto, other autonomous vehicles and MaaS systems, and conducting research related to these fields.

NOTES

• By registering for the webinar, the company confirms permission to use the VTA balance for participation, which is non-refundable in case of non-participation of the participant in the training (up to 10 working days before the start) or interruption.