Deadline: 15-Jul-2026
The Automatic Extraction of Pinna Shape Anatomical Landmarks Challenge invites students and recent graduates from Europe and the United Kingdom to develop innovative media technology solutions focused on automatic extraction of anatomical landmarks from pinna shapes. The competition promotes analytical modelling, optimization, simulation, and AI-driven innovation while offering cash prizes, internships, research opportunities, and industry exposure through Huawei.
The challenge includes a live Final Hackathon and Awards Ceremony at the 2026 Tech Arena Munich, with a total prize pool of €18,000.
Overview of the Competition
The competition encourages young researchers and technology innovators to develop advanced solutions related to:
- Automatic anatomical landmark extraction
- Pinna shape analysis
- Computational modelling
- Optimization techniques
- Simulation technologies
- Media technology innovation
Participants will showcase their technical and problem-solving abilities through collaborative team-based innovation.
What is Pinna Shape Landmark Extraction?
The pinna is the visible outer part of the human ear.
Anatomical landmark extraction involves:
- Detecting key ear structure points
- Mapping ear geometry automatically
- Using computational and AI-based methods
- Supporting advanced media and audio technologies
This type of research can contribute to:
- Audio personalization
- 3D modelling
- Human-computer interaction
- Biometric systems
- Immersive media technologies
Key Focus Areas
The challenge focuses on:
- Anatomical landmark extraction
- Analytical modelling
- Optimization algorithms
- Simulation methods
- Artificial intelligence applications
- Media technology research
- Industry-oriented innovation
Solutions should demonstrate strong technical accuracy and innovative problem-solving approaches.
Competition Structure
Selected finalist teams will:
- Present solutions live
- Participate in the Final Hackathon
- Pitch before a Huawei Jury Panel
- Compete during the Awards Ceremony
The final event is expected to take place between:
- October and November 2026
The programme is connected to:
- Tech Arena Munich 2026
Prize Pool and Benefits
Total Prize Pool
- €18,000
First Prize
- €6,000
Additional rewards may include:
- Second and third prizes
- Honor awards
- Certificates
- Internship opportunities
- PhD thesis opportunities
- Master’s thesis opportunities
- Career opportunities at Huawei
- Potential visits to China
The competition also provides networking and research exposure.
Who Can Apply?
Eligible participants include:
- Bachelor’s students
- Master’s students
- PhD candidates
- Recent graduates within the last 3 years
Applicants must study or have studied in fields such as:
- IT
- Computer Science
- Mathematics
- Engineering
- Physics
- Related technical disciplines
Geographic Eligibility
Participants must be:
- Enrolled at a higher education institution in Europe or the United Kingdom
Eligibility applies at the time of registration.
Team Requirements
Applicants must participate in teams.
Team Size
Each team must include:
- Minimum 3 members
- Maximum 6 members
Additional Recommendation
It is recommended that teams include:
- At least one PhD candidate
Participation Rule
- Each participant may join only one team
Ineligible Participants
The following are not eligible:
- Huawei employees
- Sponsor representatives
Why the Competition Matters
The challenge supports innovation at the intersection of:
- Artificial intelligence
- Computational modelling
- Human anatomy analysis
- Media technology
- Simulation and optimization
Participants gain opportunities to:
- Work on real-world technology problems
- Collaborate internationally
- Present solutions to industry experts
- Build research and industry connections
- Explore future academic and career pathways
The programme also strengthens industry-academia collaboration in advanced technology fields.
Skills Participants Can Develop
Participants may strengthen skills in:
- AI and machine learning
- Computer vision
- Image analysis
- Data modelling
- Mathematical optimization
- Simulation techniques
- Team collaboration
- Technical presentation and pitching
The competition is particularly valuable for students pursuing research or technology careers.
How the Competition Works
Participation Process
- Form an eligible team
- Develop a technical solution
- Submit challenge materials
- Participate in evaluation rounds
- Advance to finalist selection if shortlisted
- Present the solution during the Final Hackathon
Finalist teams will pitch their projects live before the jury panel.
Tips for a Strong Submission
Teams should:
- Focus on technical accuracy
- Demonstrate innovation and efficiency
- Present clear modelling approaches
- Explain optimization techniques clearly
- Show practical applications
- Prepare strong live presentations
Strong submissions usually include:
- Well-structured algorithms
- Reliable simulation methods
- Scalable approaches
- Effective teamwork
- Clear documentation and visualization
Frequently Asked Questions (FAQs)
What is the challenge about?
The competition focuses on automatic extraction of anatomical landmarks from pinna shapes using advanced computational methods.
Who can participate?
Students and recent graduates from Europe and the UK in technical or scientific disciplines can apply.
What is the team size requirement?
Teams must have between 3 and 6 members.
Is a PhD candidate required?
No, but it is recommended that each team include at least one PhD candidate.
What is the total prize pool?
The competition offers a total prize pool of €18,000.
What additional opportunities are available?
Participants may receive internships, thesis opportunities, certificates, career opportunities, and potential visits to China.
When will the final event take place?
The Final Hackathon and Awards Ceremony are expected between October and November 2026.
Conclusion
The Automatic Extraction of Pinna Shape Anatomical Landmarks Challenge 2026 offers students and recent graduates an opportunity to develop innovative computational and media technology solutions while gaining industry exposure and research experience. Through live pitching, collaboration, and technical problem-solving, participants can strengthen expertise in AI, optimization, simulation, and anatomical modelling.
The competition also provides valuable career development opportunities through networking, internships, research collaboration, and direct engagement with industry professionals.
For more information, visit Huawei Tech Arena.