Event Sensor
Asynchronous, sparse event-driven output that captures only change in the scene with microsecond temporal resolution.
Neuromorphic Vision Intelligence
See FASTER.
Think at the EDGE.
Act in REAL TIME.
EtherX builds complete event-based vision systems, from AI algorithms to edge hardware, for real-time detection, tracking, and motion analysis of satellites, debris, drones, and aerial entities.
Hardware Platform
Meet HOMI
HOMI is our end-to-end EdgeAI platform, combining a high-speed event sensor with FPGA compute and our in-house AI accelerator in a compact board designed for deployment in space, aerial, and defense systems.
10x5cm
Compact form factor
Sub-ms
Ultra-low latency architecture
On-device
Full edge inference - no cloud
Multi-task
Detection, tracking & classification - simultaneously
Front view
Top view
FPGA
FPGA-based compute backbone with hardware-optimized preprocessing pipelines and headroom for multi-task deployments.
In-House AI Accelerator
Quantization-aware neural network accelerator optimized for sparse event data across detection, classification, and tracking.
Compact & Deployable
10 cm x 5 cm form factor designed for edge deployment in satellites, UAVs, ground stations, and embedded systems.
Algorithms built for event-based intelligence
01
Motion Estimation
Compute velocity vectors in real time from sparse event streams for trajectory prediction at speeds frame cameras cannot resolve.
02
Object Detection & Tracking
Continuously detect and track satellites, debris, drones, and aerial objects using event-based clustering and centroid trajectories.
03
Star vs. Satellite Classification
Distinguish satellites from stars and clutter in dense fields using AI models trained on event-based motion signatures.
04
Collision Avoidance & Prediction
Run real-time trajectory analysis and motion prediction to estimate collision risk and enable early warning.
Why event cameras outperform frame-based
Microsecond temporal resolution.
No motion blur and no missed fast events.
Sparse, low-power data.
Only changing pixels generate data.
High dynamic range.
Handles dark space and sunlit objects without saturation.
Edge-native.
Full inference near 1 ms latency with ultra-low power.
FeatureFrame-basedEvent-based
Latency~33ms~1ms
Temporal res.~30 fps>1M events/s
Data volumeFull framesSparse events
Motion blurSignificantNone
Power drawHighUltra-low
Dynamic range~60 dB~120 dB
Edge inferenceCloud-dependentOn-device
Built for any domain where speed matters
HOMI and our algorithm stack are domain-agnostic. If it moves fast and you need to understand it in real time, we can track it.
Space Domain
Track satellites and orbital debris in LEO, detect tumbling behavior, support collision avoidance research, and analyze object attitude.
Aerial & Drone
Detect and track UAVs, drones, and low-altitude flying objects in real time even in cluttered visual environments.
Defense & Security
Enable autonomous airspace surveillance with ultra-low-latency threat detection and on-device inference.
Research & Development
Use a full-stack neuromorphic testbed from event preprocessing to on-device AI with flexible latency/accuracy studies.
Build smarter vision systems with us
Whether you are working in space operations, defense, aerial robotics, or research, we bring neuromorphic hardware and AI algorithms to turn raw events into real-time intelligence.
Contact us