TII OrbitSight Challenge
TII invites proposals for an innovative model that can process raw neuromorphic vision sensor (NVS) data from input to resident space objectives (RSOs) detection, tracking, and visualization.
Space is getting crowded.
Build the AI that keeps it safe.
Build the AI that keeps it safe.
Welcome to the TII OrbitSight Challenge
Can you redefine how we see space? The TII OrbitSight Challenge calls on startups, researchers, students and enterprises to tackle a real-world space operations problem – and shape the future of Space Situational Awareness (SSA).
We're looking for breakthrough AI solutions for Neuromorphic Vision Sensor (NVS) data that:
• Detect space objects with greater speed and precision
• Advance real-time, autonomous SSA capabilities for the UAE
• Strengthen satellite resilience and national space security
We're looking for breakthrough AI solutions for Neuromorphic Vision Sensor (NVS) data that:
• Detect space objects with greater speed and precision
• Advance real-time, autonomous SSA capabilities for the UAE
• Strengthen satellite resilience and national space security
This is your chance to collaborate with TII, push the boundaries of space tech, and leave a mark on the field.
Call for proposals are now open!
ExploreChallenge Statement
How might we develop high-performance AI/ML algorithms/pipelines that:
- Process raw neuromorphic vision sensor (NVS) data from input to resident space objects (RSOs) detection, tracking and visualization
- Achieve real-time RSO detection and tracking in noisy, low-light NVS data feeds
- Deliver real-time AI inference for efficient object detection and tracking
- Support broad compatibility with TII-provided NVS datasets across variable neuromorphic sensor resolutions
- Provide visualization tools for interpreting and presenting detection results
Opportunities & Incentives
US$50,000
Total of up to US$50,000 directly awarded to a winning solution.
Partnership Opportunities
Opportunity to collaborate with TII post competition if mutually agreeable
1 winner
selected
Timeline Overview
1
Application Phase
June - 9 September 2026
(16 weeks)
(16 weeks)
Participants to submit their solutions, including a 5-page written proposal and a technical package (Docker image) of their solution.
2
Evaluation of submissions
September
Submissions are evaluated based on
- Technical Innovation (AI Approach),
- Detection Accuracy (on test data),
- Real-time Performance,
- Documentation / Visualization & Reporting, and
- Team Competency / Solution Articulation
3
Validation
The top 5 finalists will be notified by the challenge organizer and will be given a new dataset to test their solution on.
Within 7 calendar days of notification, the short-listed candidates must submit the required files based on the new dataset.
Within 7 calendar days of notification, the short-listed candidates must submit the required files based on the new dataset.
4
Finalist Pitches (Video Pitch)
(More information on the specific date to be released soon)
Participants in the Finalist Pitches are expected to present their solutions through short live-video pitches.