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.
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
This is your chance to collaborate with TII, push the boundaries of space tech, and leave a mark on the field.
- 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
Awards:-
- US$50,000
- Partnership opportunities
- Developing real-time AI-powered computer vision solutions for space surveillance using neuromorphic sensor data to detect, track, and visualize resident space objects.
Deadline:- 09-09-2026
