Real-Time AI
Low-latency inference directly on embedded hardware, reducing dependency on cloud connectivity and remote compute.
Real-time multimodal perception at the edge
Real-Time Edge Perception
Tilius Systems develops embedded AI and computer vision technologies that process multimodal sensor data in real time, enabling efficient perception in constrained computing environments.
RGB camera
Depth
Thermal
Radar
Lidar
IMU
Embedded AI
Accelerator
Accelerator
DetectionTrackingSegmentationRange mapScene state
Value proposition
Constrained perception
Sensor Fusion
Fusion and interpretation of vision, depth, thermal, radar, lidar, and other sensor streams.
Efficient Vision
Optimised perception pipelines for limited power, memory, and compute budgets.
Hardware-Aware AI
AI models and perception stacks designed for deployment on constrained devices from the start.
What we build
Prototype to deployment
Tilius Systems builds the embedded perception layer needed to turn sensor data into timely, reliable machine understanding on real-world hardware.
- Embedded computer vision pipelines
- Hardware-accelerated inference systems
- Sensor fusion architectures
- Real-time perception modules
- Edge deployment optimisation
- Custom AI solutions for constrained environments
Deployment characteristics
Built for constraints
Representative target ranges for edge perception deployments. Final figures depend on model size, sensors, hardware, and thermal limits.
Latency16-33 ms30-60 FPS class
Power7-25 WEdge module class
ComputeINT8 / FP16On-device inference
Input2-6 streamsTypical sensor fusion
Memory< 8 GBConstrained targets
Output30 FPSReal-time perception