Manufacturing Industry

Measurable Technology Solutions for Manufacturing

At M&L Technology, we help manufacturers transform production environments into measurable, traceable and data-driven operations. By combining Artificial Intelligence, Computer Vision, IoT, electronic hardware and industrial software, we develop end-to-end solutions from the production floor to management dashboards.

Camera streams, machine signals, sensor measurements and physical I/O data can be combined within central software platforms, allowing manufacturers to monitor production in real time, analyze historical performance and identify operational losses more effectively.

AI-Powered Production Counting

Our Computer Vision and AI solutions can automatically detect and count products moving across conveyors, platforms and production areas in real time.

Standard IP or industrial cameras can be transformed into intelligent production monitoring points, reducing manual counting errors while providing shift-based and line-based production data.

Automated Quality Inspection and Defect Detection

Machine-learning and Computer Vision models can analyze products directly on the production line to identify missing components, assembly errors, surface defects, dimensional anomalies, color differences and project-specific visual quality criteria.

When a defect is detected, the system can create an event, notify operators or trigger a physical sorting, alarm or control action through field I/O solutions such as NetRelay.

Machine Runtime and Downtime Monitoring

Running, stop and fault signals from production equipment can be collected through digital I/O and transferred to central monitoring software.

This data can provide the foundation for calculating actual operating time, unplanned downtime, machine availability, MTBF and MTTR.

Real-Time Production Visibility

Production quantities, machine status, quality results, faults and sensor information can be visualized through centralized dashboards.

Managers can monitor active lines, stopped machines, current production volume, target-versus-actual performance and active alarms through modern web-based interfaces.

Data Infrastructure for OEE and Performance Analytics

Runtime, downtime, production quantity and quality information can provide the field-level data required for OEE and other manufacturing performance indicators.

M&L Technology solutions can integrate with existing ERP, MES or custom production systems to transform physical production events into meaningful management KPIs.

Field I/O Integration with NetRelay

NetRelay IoT, developed by our engineers, connects sensors, relays, dry contacts and production equipment directly with software systems.

Machine status signals, production pulses, door contacts, temperature values and other field information can be transmitted over Ethernet or Wi-Fi. Relay outputs can also control warning lights, fans, pumps, barriers or other equipment when automated actions are required.

ERP, MES and Production Software Integration

Production data does not need to remain isolated in a separate monitoring application. API, MQTT, HTTP, TCP and custom integration services can connect field information directly with ERP, MES, WMS and existing enterprise applications.

Work orders, serial numbers, products, shifts and machine information can be associated with real production events to create comprehensive traceability.

Barcode and Serial Number Tracking

Serial barcode readers can be connected through NetRelay and barcode information can be transferred in real time using TCP Socket or MQTT.

This allows manufacturing stations to track assembly, testing, quality control, packaging and shipping activities without requiring a dedicated workstation solely for barcode acquisition.

Energy and Consumption Monitoring

Data from suitable energy and current measurement equipment can be used to analyze consumption by machine, production line or shift.

By correlating energy consumption with production quantities, manufacturers can calculate indicators such as energy usage per unit produced.

Thermal and Optical Camera Analytics

In addition to conventional optical cameras, thermal imaging data can be analyzed using AI and Computer Vision to identify excessive temperatures, localized heating and project-specific thermal anomalies.

Fire, Smoke and Safety Analytics

AI-based analysis of standard camera feeds can be used to detect smoke, flames, restricted-area violations and other project-specific safety events in manufacturing and warehouse environments.

Detected events can generate central alarms, notifications or physical outputs through integrated automation systems.

Weighing and Logistics Automation

Vehicle weighing information can be associated with camera images, license plates and business software to create traceable and auditable logistics workflows.

ERP and logistics integrations allow vehicle, product, weighing and shipping information to be managed as part of a unified process.

Centralized Reporting

• Daily, weekly and monthly production quantities
• Shift-based production reports
• Performance by production line and machine
• Machine runtime and downtime
• Fault history and fault duration
• MTBF and MTTR analysis
• Target versus actual production
• Good-versus-defective product ratios
• Product and serial number history
• Energy consumption reports
• Energy usage per produced unit
• Quality inspection and defect history

Make Existing Infrastructure Smarter

Digital transformation does not always require replacing an entire production line. Existing cameras, machinery, sensors and production equipment can often be transformed into intelligent data sources through the right integration architecture.

We analyze existing infrastructure and add the required AI, software, camera or IoT layers to create practical solutions tailored to the production environment.

Software and Hardware Developed Together

We do more than build software. When required, our projects include custom electronics, embedded software, sensor interfaces, physical I/O infrastructure and centralized applications as part of the same system.

This end-to-end engineering approach enables Computer Vision, AI, production software and physical automation to operate as a unified solution.

Turn Production into Measurable Data

A product passing through a conveyor, a machine fault contact or a defect detected by a camera may initially be only a field event. With the right software and automation architecture, these events become measurable data for production performance, quality management, maintenance and cost analysis.

With M&L Technology, do more than automate production — measure it, monitor it, analyze it and continuously improve it.