Real-Time Quality Monitoring

LanSub Edge Platform enhances production quality by continuously monitoring raw materials, machine performance, and process deviations. Using AI-driven analytics, it detects quality risks in real-time, allowing teams to take corrective actions before defects occur.

Defect Prevention & Process Optimization

LanSub provides instant alerts on temperature, pressure, and speed variations, helping teams adjust parameters and improve first-pass yield. By analyzing historical quality data, it predicts issues and recommends process improvements, ensuring consistent quality.

Seamless Integration & Compliance

Integrating with ERP and MES systems, LanSub aligns production quality with business objectives. Automated reporting and compliance tracking simplify quality audits and reduce manual inspections.

Collaborative Quality Management

A centralized quality interface enables teams to log issues, track resolutions, and share real-time insights, fostering seamless communication and proactive issue resolution.


Enhancing Quality with AI & Machine Vision

AI-driven quality control uses machine vision and deep learning to detect defects in real time. By analyzing images and sensor data, AI ensures precise quality inspection, reducing human error and improving product consistency.

Reducing Defects & Waste

AI systems identify defective products instantly, allowing manufacturers to take corrective action before faulty items reach customers. This reduces scrap, rework costs, and material waste, leading to higher efficiency and sustainability.

Automated Inspection & Predictive Analysis

AI-powered inspection systems analyze patterns and predict potential quality issues before they escalate. By integrating with IIoT sensors, manufacturers can monitor production lines 24/7 and ensure compliance with quality standards.

Case Study: Electronics Manufacturing

A leading electronics manufacturer implemented AI-driven quality control, reducing defect rates by 40% and increasing production efficiency. Real-time defect detection helped them maintain high product reliability and customer satisfaction.

The Future of AI in Quality Control

As AI technology advances, smart factories will adopt AI-driven predictive quality control, combining real-time monitoring with automated decision-making. This will further improve accuracy, reduce costs, and enhance manufacturing excellence.


In the digital transformation era, factories are evolving into smart factories where data plays a crucial role in optimizing operations and enhancing productivity. The LanSub Edge Platform is designed to bridge the gap between machines, sensors, and cloud systems by enabling real-time data collection, processing, and automation at the edge.

1. Collect PLC & Machine Control Data

The LanSub Edge Platform connects directly to Programmable Logic Controllers (PLCs) and machine control systems using standard industrial protocols like Modbus, OPC UA, and MQTT. This integration helps extract critical machine data such as operational status, cycle time, fault signals, and temperature readings. The platform ensures seamless data flow without disrupting machine operations.

2. Connect & Integrate External Sensors

Modern factories require more than just machine data to monitor production environments. LanSub allows manufacturers to integrate external IoT sensors to capture additional parameters such as vibration, temperature, humidity, or energy consumption. It supports both wired and wireless sensor connections, enabling comprehensive factory floor monitoring.

3. Automate Data Transformation

Raw machine and sensor data often need cleaning and reformatting before analysis. LanSub automates data transformation by applying configurable pipelines that filter, normalize, and aggregate raw signals. This structured data output is ready for further analysis or cloud storage, eliminating the need for manual data processing.

4. Leverage High-Frequency Data

With the ability to process high-frequency data at millisecond intervals, LanSub captures fast-changing machine signals essential for applications like real-time performance monitoring, anomaly detection, and predictive maintenance. This ensures that manufacturers can react to operational changes without delays.

5. Deploy Custom Edge Applications

LanSub allows developers to create and deploy custom applications directly on the edge platform. These applications can perform local data analysis, anomaly detection, or machine learning inference without requiring cloud connectivity. The platform uses Docker containers to run isolated applications efficiently on edge devices.

6. Secure & Scalable Cloud Integration

LanSub supports secure cloud integration with platforms like AWS IoT, Azure IoT Hub, or custom cloud servers. It uses end-to-end encryption, API-based data transmission, and token-based authentication to protect data integrity during cloud communication. This ensures scalable and reliable data storage and remote analysis.

7. Flexible & Remote Deployment

With built-in over-the-air (OTA) update capabilities, LanSub supports remote software deployments and configuration management across multiple factory sites. Users can remotely install updates, configure devices, and monitor edge applications via a centralized dashboard — minimizing on-site maintenance.

Conclusion

The LanSub Edge Platform provides a comprehensive solution for smart factories by enabling real-time data collection, transformation, and analysis at the edge. Its seamless integration with machines, sensors, and cloud platforms empowers manufacturers to improve operational efficiency, optimize machine performance, and enable predictive maintenance. With support for custom applications and remote deployment, LanSub is a scalable and future-ready platform that helps factories unlock the full potential of their data in the Industry 4.0 landscape.