Platform 4.0

Distributed deployment across sites

Separate local processing from central oversight without confusing deployment with federated learning.

Browsing: Platform 4.0
Distributed oversight
01

Site sources

Cameras and local operating context.

02

Edge processing

Inference close to the source.

03

Site / cluster services

Configured aggregation and control.

04

Central oversight

Agreed events, evidence and management.

Deployment topology, not federated training. Offline behaviour must be specified for the delivery.

A deployment topology

The product materials describe a central office, subsidiary clusters and site-level edge servers. This is a distributed deployment pattern, not a claim of federated model training. Camera counts shown in an example diagram are not platform limits.

Processing and oversight

Place source acquisition and inference according to connectivity, latency and data locality. Specify which metadata, event evidence and control information are exchanged with the central environment.

Versions and local settings

Manage shared model/scenario versions while retaining justified site-specific zones and parameters. Record which version and configuration is assigned to each source.

Interrupted connectivity

Define local behaviour, buffering, retries and reconciliation. Confirm which services remain available during a disconnect and which actions require the central environment. The topology alone does not establish these guarantees.

Rollout and recovery

Use staged deployment, per-site validation, monitoring and rollback. Assign owners to central services, local nodes, network connections and operator workflows.

Separate result flows from configuration flows

DirectionContentAgree before deployment
Site → cluster / centerJSON events, snapshots and selected video clipsScope, volume, latency, queue and retention
Management → executionModel versions, policies and scenariosCompatibility, testing, permissions and distribution procedure
Between analytical levelsAggregated events and local reportsAggregation rules and reference-data mapping
Corporate data store / BIAgreed results and analytical dataFormat, owners, access and retention

Loss of Internet connectivity is different from losing camera access. If the processing node cannot read its source, it cannot analyze new frames. Specify diagnostics and any later processing of available recordings.

Third-party models shown in an architecture remain subject to package, category and runtime compatibility. Their presence in a diagram does not establish support for every artifact.

Use the documentation and configuration supplied for your installed release. Environment addresses and access credentials are provided privately with the delivery.