01
Layer 1
1. Perception hardware
Camera, proximity and radar/lidar-ready sensor paths with embedded power, housing and mounting considerations.
Technology
Layered architecture for perception, decision-making and active assistance
DOCK-Y's technology story is built around an integration-ready stack that can extend from compact ARAS deployments into broader intelligent mobility programmes.
02
Layer 2
2. Edge AI
On-device model execution, optimisation and low-latency inference for mobile and constrained environments.
03
Layer 3
3. Sensor fusion
Cross-sensor logic for more reliable awareness, object persistence and environment context.
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Layer 4
4. Risk and warning algorithms
Context-aware scoring, alert triggers, safety thresholds and interaction logic tuned for riders and operators.
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Layer 5
5. HMI / ACT feedback
Haptic, audio and visual warnings with integration routes for speed limiting and assisted control interfaces.
06
Layer 6
6. Vehicle and fleet integration
CAN, LIN and API-based workflows connecting vehicle systems, analytics and operator software.
Capability matrix
What DOCK-Y builds across the sensing-to-response chain
The stack is broader than one assistance product. The homepage now expresses that breadth through a cleaner matrix and a dedicated programme lane instead of another generic grid.
Capability lane
AI perception
Detection, tracking and context understanding designed for dynamic, cluttered mobility environments.
Capability lane
Computer vision
Vision pipelines that convert raw scene data into useful awareness, alerts and machine-actionable signals.
Capability lane
Sensor fusion
Cross-sensor decision logic that improves reliability, persistence and edge-case awareness under real operating conditions.
Capability lane
Embedded hardware
Vehicle-side electronics, compute, power and packaging shaped for constrained form factors and rugged deployment.
Programme lane
06
Core technical lanes spanning sensing, inference, warning systems and operational software. Each lane is usable on its own, but stronger when integrated as one deployment system.
Capability 05
HMI and warning systems
Human-centred cues spanning haptics, audio and visual signalling to support earlier, clearer operator response.
Capability 06
Connectivity and fleet software
Telemetry, analytics and workflow layers that connect on-vehicle events to operational insight and reporting.
Hardware capability
Embedded components designed for real mobility environments
The hardware layer spans HMI, sensing, connectivity and edge compute, with room for product-specific packaging and vehicle integration.
Proprietary HMI concepts
Haptics and audio-visual warning interfaces
Connectivity and harness design
Edge AI compute integration
Camera, radar, lidar and proximity sensor support
Embedded power and vehicle-side integration
Software capability
Real-time software for perception, warning logic and analytics
Software scope includes AI perception, decision logic, edge deployment, API integration and fleet-facing operator workflows.
AI perception algorithms
Risk scoring and decision logic
SDK and API integration
Real-time, low-latency architecture
Linux and edge deployments
Fleet-management server/client concepts
Operator UI/UX and incident analytics
Integration-ready
Designed for connected, software-defined mobility workflows
DOCK-Y is not positioned as a closed concept. The site emphasises interfaces, power, vehicle links and downstream analytics pathways.
CAN/LIN and software-defined vehicle workflows
Power and harness integration planning
Connectivity and telemetry design
Analytics, alerts and incident data pathways
Next step
Need the technical capability deck version of this story?
The architecture, hardware and integration sections here are structured so they can translate directly into partner and grant-facing material.
Pilot framingIntegration reviewConsortium support