Traditional camera
Records footage that a person or another system may need to review later.
Mesher Live
Use local visual processing to detect agreed movements, counts, stoppages and process activity without relying on continuous cloud video.

Illustrative configuration. Final hardware and installation are selected for each site.
Mesher Live uses edge AI machine vision to interpret defined activity close to the source. It can share events, counts or metadata instead of continuous video.
Records footage that a person or another system may need to review later.
Interprets defined activity locally and creates operational information for dashboards, alerts and connected workflows.
Conventional sensors explain individual signals. Vision can provide the wider context.
Each application starts with a specific operational question, then selects the visual events and outputs needed to answer it.
Translate visible motion and inactivity into defined operating events.
Observe steps, interactions and counts that may be difficult to capture through one signal.
Create anonymous operational measures where personal identification is unnecessary.
Combine visual events with Mesher data so that useful context reaches the right team.
Mesher Live can complement Mesher Sense signals, adding context before information reaches the shared operational platform.
Physical environment
Machines, zones and assets
Sense and Live
Telemetry and vision inputs
Mesher Gateway
Interfaces and protocol bridge
Edge processing
Rules, filtering and inference
Client platform
APIs, MQTT and exports
The purpose, data flow, retention and access model must be defined for each deployment before operation.
Read the Privacy PolicyProcessing can occur locally with Mesher Live. Systems can be configured to transmit events, counts or metadata instead of continuous video.
Anonymous measurement should be used where personal identification is unnecessary. Facial identification must not be implied or enabled by default.
Data retention and access controls must be configured for each deployment. Every project must follow applicable UK data-protection requirements.
A pilot can test whether a specific movement, count, stoppage or process step creates useful operational information.
Define the objective, privacy controls and useful output, then review measured results before adding sites or use cases.
See how it worksClear answers for teams considering a connected monitoring or edge-intelligence project.
It is positioned as an edge intelligence system for defined operational tasks. A conventional camera primarily records footage, while Mesher Live can interpret configured activity and create operational information.
Not necessarily. Processing can occur locally, and a deployment can be configured to transmit defined events, counts or metadata rather than continuous video.
Facial identification is not implied or enabled by default. Anonymous measurement should be used whenever personal identification is unnecessary for the agreed operational purpose.
Yes, where the application is engineered for it. Vision events can be considered alongside Mesher Sense sensor data to provide wider operating context.
Start with the movement, count, stoppage or process event that your current controls cannot show.