Join us for this Meetup that will feature two talks from Vinnter and Ekkono Solutions. From predictive maintenance powered by custom AI solutions to real-time object detection on resource-constrained devices, these real-world applications showcase how embedded AI is transforming industries!
This time, we’re excited to welcome a larger audience (up to 100 guests) so feel free to share this event with your network of AI enthusiasts!
Agenda
Talk 1: Anders Berg (Ekkono Solutions)
Using machine learning for Predictive Maintenance: “How I learnt to be unique instead of trying to find faults”
Abstract:
Predictive maintenance plays a crucial role in enhancing the productivity, cost-effectiveness, and sustainability of industrial devices. In today’s global market, product companies face diverse conditions and applications for their products. What’s normal for one may be an anomaly for another.
To address these challenges, Ekkono has developed a custom machine learning library that can be deployed on even the smallest devices. Moreover, we enable training on all devices.
Join us as we delve into the challenges of incremental learning on tiny microcontrollers and explore the remarkable benefits it brings for various use cases, including predictive maintenance.
Bio:
Anders is an embedded systems engineer with 20 years of experience designing solutions for the telecom, medical, and industrial automation sectors. For the past seven years, he has focused on developing custom machine learning solutions at Ekkono Solutions, where he leads the development department as Director of Engineering.
Talk 2: Gustav Evertsson (Vinnter AB)
Lesson learned from implementing objected detection on resource constrained embedded platform
Abstract:
Let us take you on a journey into the world of embedded AI through the lens of a fun, smile-activated candy dispenser project. We’ll explore the unique challenges and solutions of running image-based object detection on a resource-constrained embedded chip, examining what sets embedded AI apart from other types of AI. Lessons learned, discuss hardware and software trade-offs, and highlight the crucial factors for successful on-device intelligence.
Bio:
Gustav brings over 20 years of experience in embedded software development, working across a diverse range of industries and technologies. Currently serving as a senior consultant at Vinnter AB. Outside of work, Gustav enjoys diving into creative projects, whether it's tinkering with electronics, exploring new technologies, or building unique prototypes.
