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I know it’s a bit of a cliche talking about how hard it was to select the winners of a challenge like this one, but that’s because it’s true. The quality, innovation and effort that’s gone into these amazing projects is way beyond any of our expectations, which is why it’s taken us longer than anticipated to select a top three.

We’ve been deliberating with a panel of Axelera AI judges and even put it out to the entire company to help us refine the selection - it’s been that close! So if your name’s not in the top three, rest assured you were within a hair’s breadth of being there.

Before we dive into the full roundup, please join me in congratulating the winners…


🥇 1st Place — €1,000

Elderly Safety Guardian, by ​@moorebrett0 

A real-world solution to a real-world challenge: detecting falls and alerting carers without false positives.

Judges were hugely impressed by the clarity of the use case, the low-cost, real-world deployability, and especially the thoughtful use of pose estimation to avoid false alarms. One of our judges commented: “It doesn’t just work. It’s built in a way that could actually be trialled tomorrow.”


🥈 2nd Place — €500

Sauron – The Intelligent Gimbal, by ​@saadtiwana 

An ambitious marine surveillance system that combines AI vision, object detection, and custom mechanical hardware.

Judges praised the mechanical design, depth of documentation, and complexity of the system, especially given the hardware constraints. “A very impressive multidisciplinary project with real potential for remote monitoring,” was one of many comments on this great project.


🥉 3rd Place — €500

ANPR For All, by ​@shabaz 

A drop-in licence plate recognition engine that could scale to real-world gate, fleet, and security systems.

A standout for its completeness, clarity, and real-world relevance. “A super polished project with strong storytelling and great technical depth. This could go commercial!” said one of our judges.

 


🌟 Honourable Mentions & Community Highlights

We want to take a moment to spotlight every completed project. Each one brought something unique, and the feedback from judges reflected genuine admiration for the creativity, effort and potential behind each submission.

It’s worth remembering that the people who were judging this challenge are working with, and building, AI projects, pipelines, promotions and products all day, every day. They’re the people who are building Axelera AI, so when they say they’re incredibly impressed by the quality of these projects, it’s coming from people who are supremely qualified to say that!


🧠 

BroBot: AI-Powered Gym Companion, by ​@llrds 

Real-time pose feedback and training insights for solo workouts.

Judges loved the concept of turning AI vision into a training partner with safety, form-checking, and even motivational feedback. “The symmetry check is genius.” Another noted the potential for gamification and fun interaction to motivate users. This one genuinely feels like it has legs (and abs!).


🐾 

Summer Sidekick, by ​@mcunha 

An AI-powered pet and plant sitter, because automation should include the ones you care about.

A technically ambitious project with tons of potential. Judges highlighted the impressive hardware integrations, training of custom vision models, and creative automation setup. “It’s the kind of project I’d genuinely use at home.”


🧏 

See and Hear, by ​@skroedel 

A smart microphone that visually tracks who’s speaking. Perfect for hybrid calls and assistive tech.

Judges were intrigued by the novel combination of vision and audio. While the use case needed a clearer pitch, the integration across modalities was highly appreciated. “Nice to see audio incorporated into an AI vision pipeline,” noted one.

 


🤖 

Autonomous Welding Cobot, by ​@aly.elghanam 

An industrial robot with a vision-based safety kill switch—because automation should never compromise safety.

“This is what AI at the edge should look like. Multi-disciplinary, safety-first, and practical.” Judges highlighted the clever application of object detection to protect human operators, and praised its extensibility into broader manufacturing tasks with literally thousands of applications.

 


💬 Final Words

To everyone who submitted a project, shared updates, asked questions, or helped others: you’ve shown exactly what this community is all about. Whether you took home a prize or not, you created something impressive, meaningful, and shareable. And for that, we can’t thank you enough.

Stay tuned too, as we’re planning a lot more project challenges and other activities for all you awesome Axelerators out there to show us what the future of AI is really going to look like!

Until next time, keep building, keep sharing, and keep recognising and reacting!

Congratulations to the winners and great effort by all!

Pioneer 10. At Axelera, we are all in awe of you putting in this effort over and above whatever else in life you are doing! 💪🏼

I look forward to connecting with you and other community members here. 👥

Keep building Recognize & React AI solutions!

Best,

Radhika


Wow..I'm truly honored to have secured second place in the Pioneer 10 Project Challenge! A big thank you to the Axelera AI team and the community for organizing such an amazing competition. It was a fantastic opportunity to learn, create, and connect with brilliant minds. Congratulations to all the winners and participants—looking forward to more innovation and collaboration ahead!


Congrats everyone! And wow - the Elderly Safe Guardian looks really valuable, it's a concern for us all as we get older, and parents and other family members are now at the age where it is a concern that they may need urgent help. I can see us all wanting this sort of technology for elders.

By the way ​@saadtiwana  I was really impressed how effective your image capture and processing was for the AI to work with. By coincidence I too am interested in attaching a photo camera to a motorized mount, I ended up acquiring a closed-loop stepper motor, and a harmonic gearbox drive, but I've yet to assemble it. I suspect your BLDC-based solution is a lot faster to move to different positions, so I might rethink my approach.

I finally had time to look through all the entries, and loved reading the projects, and learned something from them all.  It was a pleasure to be a part of this challenge group.

Thanks to the judges for taking the time to go through all the work, and to everyone at Axelera responsible for supporting and executing the challenge and bringing it to life.


Thanks for the opportunity to compete and innovate!


This community has been such an incredible source of knowledge and support throughout the process, and I want to sincerely thank everyone who contributed ideas, shared resources, and pushed the discussions forward.

The insights here made a real difference for me, and I’m grateful to be part of such a talented and engaged group. I’m excited to see what comes next for all of us and to continue learning and building together.


Thank you all for the amazing submissions! It was an absolute privilege to (from the background) see your progress and review the results.