Quick success with tiny machine learning for SMEs
Together with college students, André Gerver is putting tiny machine learning into practice. Use cases are running at several companies and significant results have already been achieved! For a number of companies, the cost of energy consumption has been reduced by as much as 30% [Potentially between 10 and 30%].
SMEs looking to save energy consumptionand want to avoid peak loads, take note!
To strike a blow together, André and the students are offering their help to SMEs from the IJmond region. Do you also want to save on your energy bill using tiny machine learning! Contact Andre now. Attention, be on time because there are still limited places available.
Investment for the future
With tiny machine learning, in addition to energy consumption, your company's production process can be mapped. The students working on the use cases are building a lot of knowledge by applying tiny machine learning. Through the experience they have now gained at several companies, they find that results are getting faster and faster in a short period of time.
Graduation project Kasper Tiebie
We are happy to share the project of Kasper Tiebie, former student who just graduated cum laude from the HvA, about his graduation project which he carried out together (under the guidance of) André. He investigated whether it was possible to run predictive maintenance models without historical data on an edge device using tiny machine learing.
Nice development without expensive investment
Kasper used AI (a sliding Windows Convolutional autoencoder) to build an autoencoder that could run on a network of M5Stack devices that measured whether a machine was freezing in the factory with the goal of preventing it. Using the autoencoder, without historical data of failure mechanisms, he could still monitor whether the machine was operating within its normal configuration. With this solution, no expensive investment was required. With less than 300,- worth of hardware, Kasper was able to monitor the alorithm in real time. A wonderful development in the field of tiny machine learning.
Learn more
Want to know more or tiny machine learning or sign up as an SME for use cases? Contact André at a.gerver@techport.nl, he will be happy to help you!