Key Capabilities
Ultra-Low Power
Deliver vision systems at <2W power consumption, enabling real-time AI where GPUs physically fail. Process 10,000 fps equivalent performance with minimal energy requirements.
Sub-Millisecond Latency
Achieve ~1ms response times for mission-critical applications. Perfect for tactical edge scenarios requiring instant decision-making without cloud dependency.
High Dynamic Range
Capture 120dB dynamic range, enabling simultaneous tracking of objects in bright and dark environments. Track satellites at 17,000 mph without motion blur or saturation.
Event-Driven Processing
Process only changed pixels instead of full frames. Event cameras fire only when pixels detect change, dramatically reducing computational overhead and power consumption.
Neuromorphic Computing
Brain-inspired processors optimized for spiking neural networks. Native spike processing eliminates frame reconstruction overhead, enabling true event-driven AI.
Edge AI Ready
Zero cloud dependency for mission-critical systems. Deploy AI at the edge with deterministic, low-latency inference suitable for defense, space, and autonomous systems.
Performance Comparison
Gesture Recognition Benchmark (DVS128 Dataset)
Energy efficiency measured on neuromorphic-emulated FPGA hardware
244× more efficient than CPU, 9.5× more efficient than Jetson
Validated Performance Across Industries
Defense Applications
- Gesture Recognition: 75.76 GOP/s/W demonstrated
Enable split-second human-machine interaction for safety-critical military systems without cloud dependency - Object Detection: SpikeYOLO 5.7× efficiency improvement
Track fast-moving threats in real-time using 5× less power than conventional AI systems - UAV Control: 7× more efficient than Jetson Nano
Navigate drones in GPS-denied environments at <1W power consumption - Radiation Tolerant Compute: 5x higher MTBF
Sustain deterministic, low-latency inference under high-radiation LEO/HEO spacecraft environments
Research Applications
- HVAC Optimization: 21% energy reduction
Cut building energy costs while improving occupant comfort through real-time predictive control - Medical EEG: 90% Parkinson's detection accuracy
Enable bedside neurological diagnostics without cloud processing, preserving patient privacy - Surgical Tracking: <3ms latency instrument detection
Provide surgeons with instant safety alerts and workflow analytics during procedures
The Event-Driven Advantage
Traditional cameras capture full frames 30 times per second—wasting power processing unchanged pixels. Event-driven sensors fire only when pixels detect change, enabling:
Frame-Based (Wasteful)
Processes all pixels every frame
Event-Driven (Efficient)
Processes only changed pixels
SPACE SURVEILLANCE: Track satellites moving 17,000 mph against bright Earth or dark space simultaneously—impossible for frame cameras that saturate or lose contrast.
This same principle scales to autonomous vehicles, industrial systems, drones, and robotics requiring instant obstacle detection.