Edge Intelligence

Edge AI and computer vision: Edge Intelligence

Local inference, vision, sensing and control close to the physical asset — for low latency, resilience and data control.

Capabilities

What runs at the edge

Vision

Computer vision

Detection, counting, defect and safety analytics from cameras and drones.

Sense

Sensor fusion

Combining vision, thermal, lidar and IoT signals into one picture.

Infer

Local inference

Open models optimised to run on edge hardware.

Control

Device control

Closing the loop with machines, under permissions.

Data Path

Edge first, trusted always

  1. Sensor
  2. Edge inference
  3. Local action
  4. Hash & sync
  5. Trusted Data Space
  6. Audit

Sensor → Edge inference → Local action → Hash & sync → Trusted Data Space → Audit.

Use Cases

Where it is used

  • Vision-based quality and safety checks
  • Inventory and asset counting
  • On-site inference where connectivity is limited
  • Keeping sensitive video on premises

Boundaries

  • Edge hardware is selected per site on a multi-vendor basis.
  • Model choice depends on licence review and on-device performance.

Drones Trusted Data Space

Related Ventures

Ventures building on this

Physical IntelligenceIn Development

AI Robotic Logistics Warehouse

A smart, robotics-driven fulfilment warehouse for cross-border small-goods e-commerce — WMS, OMS and TMS with AI vision quality checks and robotics-assisted picking.

Layer
Open Physical Intelligence Layer — Industrial Intelligence
Industry
Logistics & Warehousing, Cross-border Trade
Core capabilities
Robotics-assisted picking · AI vision quality checks · WMS / OMS / TMS · Fulfilment-as-a-Service

On DNY infrastructure: Combines the Physical Intelligence Layer with enterprise integration and agents; operational data is governed in the Trusted Data Space.

RoboticsComputer visionAI agents
View venture
FAQ

Edge AI — common questions

What is Physical AI?

Physical AI is artificial intelligence that perceives the real world through sensors, reasons about it, and acts through machines such as drones, robots and industrial equipment.

What is the Open Physical Intelligence Layer?

It is DNY’s unified connection layer between trusted AI infrastructure and real devices. It links models, agents, data governance, identity, security and audit with drones, robots, edge devices and vision systems, while staying compatible with multiple model, cloud and hardware vendors.

Is DNY a drone company or a robotics company?

Neither on its own. Drones and robotics are directions within the Physical Intelligence Layer. Specific drone and robotics businesses, such as DNY Aerial Systems and DNY Robotic Systems, are separate ventures that reuse the group’s infrastructure.

How are physical AI actions kept safe and accountable?

Every device, model and agent is bound to an identity and a set of permissions. Key decisions and actions are logged for audit, humans stay in the loop where full autonomy is inappropriate, and anomalies escalate to people.

Next Step

Put intelligence next to the asset