Overview
Welcome to the Boss Battle in the AI Arena! You have journeyed through PSOC™ Edge City and gained the knowledge to design, build, and deploy AI-powered projects using PSOC™ Edge MCUs. Now it's time to take on Infineon's in a design challenge for the ages.
Meet the BossThe Infineon Team is group of Infineon engineers who create hands-on projects, tutorials, and code for sensors, MCUs, connectivity, security, power, and IoT using the latest and greatest Infineon technologies.
Beat the BossYour challenge is to build a project to help you survive and thrive in PSOC™ Edge City using the PSOC™ Edge 84 AI Kit. You will have 8 weeks to create a project to outwit, outsmart, and outplay the Infineon Team's Survival Sensor Box project.
Show us your best futuristic AI project using the PSOC™ Edge AI Kit and software, including DEEPCRAFT™ Studio, in your best cyberpunk way.
Your project should be creative and connected to life in PSOC™ Edge City whether it's a sustainable and cyberpunk light source to help you traverse the city streets and tunnels, a flying friend to deliver assistance through the city, even water-resistant tech gear when you find yourself underground or underwater, or cybernetic detection system that alerts you when the Boss's underlings are near.
Check out the Boss Project here: https://www.hackster.io/Infineon_Team/survival-sensor-box-taking-on-the-psoc-edge-ai-boss-battle-9e7664
Read the blog here: https://community.infineon.com/t5/Blogs/Survival-Sensor-Box-Taking-on-the-PSOC-Edge-AI-Boss-Battle/ba-p/1268593
The HardwareInfineon's PSOC™ Edge AI Kit (KIT_PSE84_AI) is the perfect platform for easy prototyping and collecting real-life data to build compelling edge IoT products fast.
This kit features the PSOC™ Edge E84 series MCU, Infineon's high-performance MCU built for the future and a multitude of on-board multimedia, Machine Learning, and connectivity features.
PSOC™ Edge enables this transformation by combining hardware-accelerated neural network compute support with "always-on" low-power operation and high-performance capabilities. This fully integrated microcontroller features right-sized peripherals, on-chip memories, and advanced security with Infineon Edge Protect Category 4 to meet the demands of modern edge AI applications.
The PSOC™ Edge E84 AI kit is pre-programmed with two demos to help you get started with your project:
Voice Assistant: The PDM mic on-board is used to detect wake words and commands that will control an LED.
Gesture Detection: the on-board radar sensor is used to detect different gestures like Push and Swipe Right/ Left/ Up /Down.
>> Scroll down to the resources section for additional documentation.
<< Purchase a kit here >>
(NOTE: Free kits were already given away as part of the PSOC™ Edge City engagement program, but you can still purchase a low-cost kit for this contest. Who doesn't want to one-up the Infineon Bosses with a cool new project for a chance to win great prizes?? Get a kit and get started!)
With ModusToolbox™ and DEEPCRAFT™ Studio you can go through the full Machine Learning to Embedded Software flow from data collection and training to reference deployment.
There are various Code Examples to evaluate the PSOC™ Edge E84 AI kit, which familiarizes you with PSOC™ Edge E84 MCU and helps you creates your own design. These examples can be accessed through ModusToolbox™ Project Creator tool.
DEEPCRAFT™ AI Suite is a development platform for machine learning on edge devices. This platform will enable you to bring AI into various embedded applications, enhancing functionalities, control, energy efficiency, and privacy. With DEEPCRAFT™ AI, you can benefit from a faster time to market, serving a wide range of applications for global customers.
DEEPCRAFT™ Ready Models
DEEPCRAFT™ Ready Models are the fastest way for Infineon's customers to take AI features into production. These fully tested, market-ready models are designed to give companies a way to add AI into products without developing machine learning models on their own.
DEEPCRAFT™ Ready Models are optimized to work with Infineon's sensors and MCUs.
A helpful tutorial project "Using DEEPCRAFT Ready Models in ModusToolbox" is posted for your use as you develop your project.
Prizes
Beat the Boss
The Beat the Boss winner will receive $1000.
Beat the Boss Runner-Up
The Runners-Up will receive $500 each.
Judges
Clark Jarvis
Clark is a senior software technical marketer at Infineon. Building on nearly two decades of product experience for embedded software and development tools, Clark focuses on creating efficient and intuitive design experiences to help embedded engineers ultimately master and speed the development of IoT and industrial applications.
Lukas Wirkestrand
Lukas Wirkestrand is the System Application Engineer working on Edge AI solutions at Imagimob. After completing his master’s degree in machine learning, Lukas joined Imagimob and specialized in embedded software and making efficient models. He is responsible for customer and internal trainings, providing a technical overview of the entire DEEPCRAFT offering and accelerating your journey into production.
Clare Mills
Clare joined Imagimob (An Infineon Technologies Company) in 2023, where she leads Sales & Marketing for the DEEPCRAFT™ AI Suite of edge AI software. She has nearly 15 years of experience in commercial B2B roles within software companies. Clare holds a Master’s degree in Consumer & Business Marketing, and a Bachelor’s in Psychology. Originally from the United States, her studies and career brought her to Sweden.
Vivek Shankar Kannan
Vivek is a senior product marketing manager at Infineon responsible for PSOC™ Edge microcontrollers. Vivek is responsible for driving the go to market plans for new products along with the customer engagements and the overall business performance. Vivek has close to two decades of experience working on microcontroller products spanning applications, validation, and marketing roles.
Resources
- Getting started with KIT_PSE84_AI and DEEPCRAFT - step by step guide
- KIT_PSE84_AI user guide
- KIT_PSE84_AI quick start guide
- KIT_PSE84_AI product brief
- KIT_PSE84_AI release notes
- PSOC™ Edge City (for access to lots of learning modules)
Contest Status
Timeline
Registration opens
September 8, 2026 at 12:00 PM PDT
Competition begins
October 13, 2026 at 12:00 PM PDT
Submissions close
January 3, 2027 at 11:59 PM PST
Winners announced by
Jan 29, 2027




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