Maxim Integrated and Elektor are pleased to announce the winners of the MAX78000 AI Design Contest! Engineers from around the globe implemented the Maxim Integrated ultra-low-power MAX78000 microcontroller in a project and shared it through the Elektor Labs platform.
Maxim Integrated and Elektor are pleased to announce the winners of the MAX78000 AI Design Contest! Engineers from around the globe implemented the Maxim Integrated ultra-low-power MAX78000 microcontroller in a project and shared it through the Elektor Labs platform. In total, nearly 40 innovative projects were submitted. An overview of all participating projects can be found here.
MAX78000 AI Design Contest Winners
A team of Maxim’s MAX78000 experts reviewed the projects and created a shortlist which was then handed over to the head of the jury, Professor Terence O'Donnell from the School of Electrical and Electronic Engineering in University College Dublin (Ireland). It was up to him to come to a final judgement. Congratulations to the winners! And a special thanks to all who participated.
First Prize (€2,000): Anomaly Detection System for IoT Using the MAX78000
Posted by Cathal Kelly, Dominic Lightbody and Duc Minh Ngo (Cork, Ireland)
Professor Terence O'Donnell: “This innovative project implements several solutions to the very topical issue of IOT cyber security. The approaches are based on anomaly detection at the network level and anomaly detection in the power consumption signature. The project demonstrates a high degree of technical complexity with a very complete set of results.“
Second Prize (€1,000): CNN-Based Intelligent Bolt Failure Detection Vehicle for Railway System
Posted by Zhu Qingyang (Beijing, China)
Professor O'Donnell: “An innovative project demonstrating the use of the MAX78000 for detection of bolt failure in high speed trains via image recognition. Impressive implementation of the MAX78000 combined with a microprocessor controlled model vehicle for collecting images.“
Third Prize (€500): Batteryless Long Range Smart Camera for Face Detection
Posted by Marco Giordano (Zürich, Switzerland)
Professor O'Donnell: "This interesting project demonstrates the use of the MAX78000 for remote face detection, which combines the MAX78000 board with a LoRa wireless transmitter and a power management system to achieve batteryless operation. The special emphasis put on low power, batteryless operation is a nice feature."
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