Skip to content
Contact us
Language: en

Platform

Platform industrial module

Machine vision turns an industrial process into data: equipment condition, materials on the line and people's safety – on the company's infrastructure and connected to process control systems.

Discuss your projectRequest a presentation

What the module monitors

The industrial module is the part of MU Platform built for industrial processes. It uses the platform's shared mechanisms – video quality monitoring, the incident cycle, “human in the loop” – and adds industrial detectors and integration with control systems.

Equipment

Condition of moving conveyor belts: belt surface and splice defects, belt misalignment, the defect's position along the belt. Thermal imaging monitoring of equipment overheating.

Materials and process

Fragmentation and oversize on the conveyor, bulk material volume from video and lidar, truck load completeness, flotation froth, AI core logging.

People

PPE by role and area, hazardous areas with several criticality levels, staff behavior, fire, smoke and steam. Night shifts are monitored on a par with day shifts.

Built for industrial conditions

Where a standard camera is not enough, the module uses industrial cameras and laser profile scanners; where it is enough, the module works on existing cameras. The system operates reliably under vibration and dust.

Models are fine-tuned on data from the specific site. Missing detectors are developed for the company's task.

Integration with process control systems

The module is deployed within the company's perimeter, including isolated networks. Events are sent to process control systems and SCADA via PLC over OPC UA and Modbus TCP, and to enterprise systems via REST API and ERP.

In a critical event – for example, belt damage – the module sends a stop signal to the control system. Decisions on further action remain with the responsible person.

  • Process control systems
  • SCADA
  • PLC (OPC UA, Modbus TCP)
  • ERP
  • REST API

Condition-based maintenance

Reports show zones of recurring defects and trends. This is the basis for moving from scheduled inspections to maintenance based on the actual condition of equipment.

Case studies

    • Mining and metals
    • Machine vision

    Mining: conveyor belt monitoring

    Cameras and laser scanners above the belt detect surface and splice defects and pinpoint them on the belt. The belt is monitored continuously, with no stoppages for inspection.

    Pilot
    • Oil, gas and chemicals
    • Video analytics on existing infrastructure

    Chemicals: PPE, hazardous areas and behavior

    Analytics on existing cameras recognizes PPE, hazardous areas and behavior; night shifts are monitored on a par with day shifts.

    Pilot
    • Mining and metals
    • Deep learning

    Exploration: AI core logging

    Photos of core boxes referenced to depth, identification of rock types, fractures and ore intervals; a geologist checks the results.

    Pilot deployment

How we work

  1. Defining the task

    We analyze the customer's process and define scenarios and control points.

  2. Pilot

    We run the scenario on real data and existing infrastructure.

  3. Full-scale operation

    We scale the solution and connect related systems.

  4. Development and support

    We update modules, add scenarios and provide ongoing support.

Engagement models: turnkey project, module licensing, subscription, service model.

Contact

Discuss your project

We will send you a presentation of any solution you are interested in.

Discuss your projectRequest a presentation
Address
25 Amir Temur Avenue, Tashkent
Office hours
Mon–Fri 9:00–18:00 (UTC+5)