THE CHALLENGE
- Missing Source-Integrity
During material transfer, automated guided vehicles (AGVs) and smart infrastructure (e.g., rolling doors, inbound stations) often operate based on isolated, unverified data streams. - Lack of Traceability
In the event of accidents or errors on the shop floor, it is nearly impossible to determine the cause with certainty after the fact using asynchronous, isolated data streams.
THE SOLUTION
- Cross-machine testing
AGVs, robots, and systems validate their tracking and sensor data locally and in real time directly with one another (peer-to-peer), even before any physical actions are carried out. - Collaborative Overview
This joint verification creates a local chain linking all events, which provides a completely reliable overall picture for process control. - Absolute Provability
Every incident and every interaction is documented completely and indisputably right on the Edge.
Measurable Added Value through Cross-Machine Verification.
Minimized Downtime
Significantly accelerated troubleshooting of malfunctions through jointly verified data streams
Fail-Safe Handovers
Fully traceable material transfer from inbound stations directly to the production line
Increased Workplace Safety
Transparent, tamper-proof documentation of all interactions between autonomous robots and the factory environment
How It Works
Three steps to a tamper-proof, decentralized trust network right on the shop floor.
1
Local Data Collection.
AGVs, industrial trucks, and machines continuously record their sensor and position data during operation.
2
Peer-to-Peer Synchronization.
When autonomous vehicles and systems encounter each other, the interplay kicks in: They immediately share and verify this data with one another.
3
An tamper-proof History.
The validated data streams provide a verified overall picture that records system errors or accidents in a tamper-proof and permanent manner.
Solution Highlights
No Single Point of Failure
Traditional guidance systems can fail completely or be compromised at the central level. Our local mesh network distributes the trust anchor across all machines, ensuring that process reliability remains intact even in the event of server failures.
Unambiguous Accident Reconstruction
If an AGV collides with the infrastructure, the logs – which are corroborated across all devices – prevent any subsequent alteration of the history. The exact sequence of events is proven cryptographically.
Zero-Overhead Integration
Industrial systems cannot tolerate latency caused by resource-intensive IT processes. Our technology verifies data streams in real time without placing a noticeable computational burden on autonomous vehicles.