Build AI for the IoT

The challenge

The current generation of IoT products are all about using sensors and connectivity to gain a fresh perspective to solve everyday problems. The next era of the IoT involves unlocking the potential of AI on edge devices, where you can run complex AI algorithms right on the edge. Infineon and Hackster.io are dedicated to making this a reality with the Build AI for the IoT Design Contest.

We're inviting you to re-invent the way we interact with everyday objects in our home by using Infineon's flexible, ultra-low power PSoC™ 6 technology combined with the secure connectivity of the AIROC™ wireless chips and industry-leading sensors in the XENSIV™ family. Enhance your project’s potential capabilities with the power of machine learning.

Want to build a smart, connected, security module that will alert you if someone broke into your house using the power of Edge AI? Or make an advanced solution for home healthcare that can detect arrhythmia? Or even make a fully functioning voice-controlled coffee machine that can make that perfect cup of espresso? It’s all possible and we’re excited to see what the Hackster community can do!

The Hardware

Use any of any one of Infineon's PSoC™ 6 and XENSIV™ products, alongside ModusToolbox™ Machine Learning software to build your project.

😇 We're giving away 50 free PSoC™ 6 62S2 Wi-Fi BT Pioneer Kit & IoT Sense Expansion Kit hardware bundles to the top hardware applications. Submit your project proposal in the Apply for Hardware tab and you could win one of our 50 hardware bundle giveaways.

If you don't want to wait, you can get a head start and purchase any one of Infineon's PSoC™ 6 and XENSIV™ platforms to participate.

The Software

Start exploring your application’s machine learning potential with Infineon’s collection of easy-to-use software and tools, ModusToolbox™ Machine Learning. Its middleware libraries and configurators, board support packages, peripheral APIs and code examples make it possible to automate almost every step of your development process.

🙋 The Infineon Developer Community provides additional access to online documentation, online videos and regular live developer trainings to support you as you go.We recommend also checking out some of our AI software partners like Picovoice and SensiML to unlock the potential of AI on edge IoT systems. Check out the resources section below for more details and the Submission Requirements to see what technology is eligible.

Prizes

1st Place

1 winner

$1000 Mastercard

2nd Place

1 winner

$500 Mastercard

3rd Place

1 winner

$500 Mastercard

Judges

Danny Watson is a Principal Software Product Marketing Manager who is responsible for bringing developers the best in class machine learning software through Infineon and partner enablement. Danny's background is in engineering and customer support, involved in some of the most innovative products using voice and audio, with a focus on making it easier for product makers and developers to build solutions faster.

Gary Sugita is the Director of Solutions for the IoT Compute and Wireless business unit in the Connected Secure Systems division of Infineon Technologies. Gary leads efforts to create hardware and software systems and reference designs that demonstrate IoT use cases with Infineon technology. Gary has 30 years of experience in embedded systems and holds a Bachelor of Science degree in Electrical Engineering from Santa Clara University.

Ashutosh Pandey is currently a Lead Principal Systems Engineer at Infineon Technologies where he is responsible for Machine learning solutions, architecture, and tooling. He holds a PhD from the University of Utah and has over 40 papers and patents on speech/audio/machine learning systems and algorithms.

Nicholas Sharp is a Senior Applications Engineer at Infineon in the MCU division. Currently he is working on developing Machine Learning with Infineon MCU's and designs firmware for digital systems. Nicholas holds a Computer Engineering degree from Seattle Pacific University.

Resources

🎯 Required Technology

• PSoC™ 6 MCU Landing Page (code examples, documentation, technical reference manual, etc)
• PSoC 6 Developer Documentation
• XENSIV™ Sensor(s)

✅ Featured Technology

• ModusToolbox™ Landing Page + Download here
• PSoC™ 6 62S2 Wi-Fi BT Pioneer Kit Landing Page
• IoT Sense Expansion Kit Landing Page
• SensiML Analytics Toolkit + a free trial account with SensiML is available here
• Picovoice end-to-end Voice Platform + start building for free here

🧑‍🏫 Tutorials and Demos

Webinar: Implementing Machine Learning on the Edge with ModusToolbox™, Picovoice and SensiML.

• Webinar | Building AI-based smart voice solutions using PSoC™ 6, XENSIV™ and Picovoice
• Software Training | ModusToolbox™ training (Github)

🚀 Additional Helpful Resources

• PSoC 62S2 Wi-Fi BT Pioneer Kit Quick Start Guide (CY8CKIT-062S2-43012)
• IoT Sense Expansion Kit Quick Start Guide (CY8CKIT-028-SENSE)
• Getting Started with PSoC 6 MCU (AN228571)
• PSoC 6 MCU Low-Power modes and Power reduction techniques (AN219528)
• Low-power system design with AIROC™ CYW43012 Wi-Fi & Bluetooth® combo chip and PSoC™ 6 MCU
• SensiML - Getting Started Building Edge AI for the PSoC™ 6

About us

Infineon is a world leader in semiconductor solutions that make life easier, safer, and greener. Our solutions for efficient energy management, smart mobility, and secure, seamless communications link the real and the digital world.