February 25, 2026
CloudRAN.AI and Firecell Partner to Cut the Cost and Complexity of Private 5G
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BREAKING NEWS: Firecell and Accelleran Merge to Deliver Sovereignty-Compliant Industrial Private 5G Learn more
5G is transforming manufacturing by enabling real-time defect detection. Here’s how it works: high-resolution cameras identify flaws on production lines and transmit data via ultra-reliable, low-latency 5G to edge servers. AI models then analyse this data in milliseconds, allowing immediate adjustments to prevent further defects.
Key benefits include:
Real-world examples, like CJ Logistics and John Deere, show how private 5G networks reduce waste, improve productivity, and enhance quality control. With pre-configured solutions like Firecell‘s 5G networks, manufacturers can seamlessly integrate these systems into their operations.
How 5G Enables Real-Time Defect Detection in Manufacturing: 3-Step Process
Private 5G networks are designed to handle the unique challenges of industrial settings, offering the speed, capacity, and reliability needed for immediate defect detection. These networks combine ultra-low latency, high bandwidth, and dependable connectivity to enable cutting-edge quality control systems that were previously unattainable.
In manufacturing, time is critical. When a camera identifies a defect on the production line, the system must act immediately. Thanks to ultra-reliable, low-latency communication, data can travel to edge servers in less than 10 milliseconds. This rapid response time ensures that production systems can adjust parameters in real time, preventing further defects.
"Connected cameras could transmit data to edge computing servers, potentially using ultra‐low latency to rapidly respond to flaws in units and improve quality." – Verizon
Private 5G also enables precise, time-synchronised data transmission across large factory floors. This is essential for integrating sensor data from multiple inspection points, ensuring comprehensive defect detection. Moreover, the networks support industrial protocols like PROFINET, which are widely used in automation systems.
Beyond speed, private 5G delivers the bandwidth needed to handle the vast amounts of data generated by modern manufacturing systems. High-resolution cameras inspecting components at high speeds produce significant data loads. Private 5G supports simultaneous high-resolution video streams and multiple camera feeds, with peak data rates of up to 10 Gbps. This capability also extends to thousands of IoT sensors monitoring equipment conditions.
A smart factory demonstration in August 2023 by Hitachi America R&D, AWS, and Ericsson showcased the potential of private 5G. Using AI and 5G-connected cameras, the system inspected 24 assembly components simultaneously for faults. The network’s high bandwidth allowed parallel inspections, reducing material waste and minimising production delays.
Speed and capacity are important, but reliability is the backbone of any defect detection system. In industrial environments filled with steel structures, concrete barriers, and electromagnetic interference, maintaining uninterrupted connectivity is no small feat. Private 5G excels in such conditions, offering interference-free, dedicated resources that ensure quality control processes are never compromised by competing network traffic.
This reliability directly enhances operational efficiency. With support for up to 1 million devices per square kilometre, private 5G allows manufacturers to deploy sensors across every critical point in the production process. This dependable connectivity not only ensures ongoing quality control but also powers predictive maintenance systems. By identifying potential equipment failures early, manufacturers can prevent defective products and costly downtime.
"5G networks add a vital new dimension for success when digitalisation use cases require performance, reliability and security." – Ericsson
Setting up a 5G-powered defect detection system requires meticulous planning, covering hardware, network setup, and AI integration. The aim is to position advanced sensors, configure dedicated network resources, and deploy intelligent models that process data instantly. Here’s how to create a system that identifies defects as they happen.
Install high-resolution (4K/8K) cameras at key inspection points along your production line. These cameras capture the fine details needed to identify surface flaws, misalignments, and dimensional issues that might escape lower-quality equipment. Complement these with IoT sensors to track variables like vibration, temperature, and pressure.
Take Worcester Bosch in the UK as an example. The company implemented a private 5G network with Multi-access Edge Computing (MEC) infrastructure provided by Ericsson and BT. By integrating machine sensors into their production line, they improved machine performance and boosted output by up to 2%, while addressing potential failures before they occurred. Carl Arntzen, CEO of Worcester Bosch, shared:
"We are using this innovative 5G testbed to pioneer secure Industry 4.0 use cases in the areas of Preventative Maintenance and Robotics to drive productivity. These require large numbers of sensors and high network availability hence our interest in 5G."
To handle the massive data streams generated by these cameras, connect all devices to a private 5G network. Transmit the data to on-premises MEC servers to reduce latency and enable near-instant analysis. This setup ensures defects are detected in milliseconds, allowing immediate responses on the production line. Dedicated network slices are essential here to guarantee smooth, low-latency data transmission.
Network slicing provides an isolated, dedicated channel for defect detection data, preventing interference from other factory traffic. Assign specific resources to the slice to ensure sufficient bandwidth and low latency. This setup is critical for real-time data transfer between mobile devices and edge servers.
For instance, Valin Xiangtan Iron & Steel in China uses 5G, cloud, and AI technologies to detect defects on steel surfaces. High-resolution images from industrial cameras are sent via 5G to the cloud, where AI-driven machine vision identifies subtle defects during the hot rolling process. This approach eliminates the need for risky manual inspections. Wang Guodong, Academician at the Chinese Academy of Engineering, highlighted the benefits:
"The combination of cloud, AI, and the large bandwidth and low latency of 5G can fully address the requirements of industrial manufacturing."
To achieve this, use 5G Standalone (SA) architecture, which supports advanced slicing and ultra-reliable low-latency communication. Configure the slice for high upstream bandwidth, as defect detection relies on transmitting data-rich video from cameras to servers. Place the User Plane Function (UPF) on-site for local data switching, ensuring the fastest possible analysis. With dedicated slices, data moves quickly, enabling AI systems to evaluate quality in real time.
With low-latency 5G and on-site MEC, deploy AI and computer vision models on edge servers to monitor tolerances, spot misalignments, and detect defects. These models process video streams and sensor data, comparing each component against quality benchmarks. When a defect is found, the system can issue alerts or automatically tweak production parameters to prevent further issues.
John Deere provides a practical example. The company uses AI and machine vision to identify and fix welding defects automatically. The system analyses weld imagery, detects issues like gaps or misalignments, and adjusts parameters such as speed or heat to maintain consistent quality. Jason Wallin, Senior Principal Architect at Deere & Company, explained:
"Private wireless helps when the bottleneck is moving large or real-time data between mobile endpoints and the on-prem edge."
Start with a pilot on a single production line for 4–8 weeks to validate AI accuracy and connectivity before scaling up. Implement tiered inference by running smaller AI models on the edge for fast, low-latency processing, while reserving more complex analyses for larger models when latency allows. Integrate the detection system with Manufacturing Execution Systems (MES) and Quality Management Systems (QMS) to automate responses and maintain detailed audit trails.
Deploying private 5G networks for defect detection doesn’t have to be complicated. Firecell simplifies the process with its ready-made solutions, letting manufacturers focus on improving production rather than wrestling with network complexities. This approach ensures defect detection systems can be integrated smoothly without unnecessary delays.
Firecell’s Orion and Pegasus networks provide pre-configured 5G infrastructure specifically designed for defect detection. These solutions allow manufacturers to transition quickly from testing to full-scale operations without the complications of custom-built setups. The networks offer the dedicated uplink bandwidth needed to handle real-time analysis of high-resolution visuals from multiple cameras.
The scalability of these networks is a game-changer. Similar industrial setups have shown considerable improvements in both cost efficiency and operational effectiveness.
Before scaling up, manufacturers can experiment with Firecell’s Orion Labkit, a flexible tool for pilot testing. This lab network supports areas ranging from 10m² to 1,000m² and includes a single 5G access point. It’s perfect for indoor testing, allowing teams to validate AI performance, camera integration, and network reliability in a controlled environment.
Additionally, Firecell provides pre-tested 5G devices that integrate seamlessly into existing production systems. These devices simplify the scaling process by removing potential integration challenges. For larger-scale deployments, the Pegasus Network offers coverage for areas exceeding 10,000m², with up to 10 access points. This extensive coverage is ideal for production lines with multiple inspection points. By successfully completing pilot tests, manufacturers can confidently scale up to full production with uninterrupted quality control.
Firecell ensures that defect detection systems operate without interruptions by using dedicated spectrum and unique PLMN (MCC/MNC) codes. This setup isolates private 5G networks from public ones, guaranteeing interference-free connectivity. Even when other factory systems are heavily loaded, Firecell’s networks maintain smooth and uninterrupted data flow, ensuring defect detection processes run seamlessly.
Private 5G networks are reshaping real-time defect detection by offering ultra-low latency, high bandwidth, and dependable connectivity. These features enable manufacturers to spot flaws instantly and make real-time adjustments to production lines, avoiding costly disruptions and ensuring consistent quality. With the ability to support high-resolution cameras and dense sensor networks, private 5G provides the foundation for robust monitoring systems that catch issues before they escalate into expensive problems.
Setting up such a system is relatively straightforward. It involves installing high-resolution cameras and sensors, leveraging dedicated network slices to ensure consistent performance, and deploying AI models for immediate analysis of visual data. A crucial first step is understanding your facility’s specific latency and bandwidth needs to choose the right deployment model. Firecell’s solutions serve as a practical example of how these technologies can be seamlessly integrated into modern production settings.
Firecell makes the process easier with its pre-configured Orion and Pegasus networks, along with lab kits that allow manufacturers to test and validate systems before scaling up. Pre-tested devices integrate smoothly into existing production lines. By using dedicated spectrum and unique PLMN codes, Firecell ensures interference-free connectivity, keeping defect detection systems operational without interruptions. This streamlined approach allows manufacturers to quickly realise the operational and competitive benefits of private 5G.
The advantages go beyond just quality control. Manufacturers have reported significant productivity improvements and lower infrastructure costs. As production lines need to adapt to growing demands for customisation, the ability to reconfigure wireless networks in days – rather than spending months on rewiring – becomes a critical edge in a competitive market.
For manufacturers looking to enhance quality control and operational efficiency, private 5G offers a powerful solution. The technology is reliable, the deployment process is straightforward, and the benefits are measurable.
5G transforms defect detection in manufacturing by delivering ultra-low latency and reliable connectivity. This allows advanced tools like AI-driven computer vision to analyse production line data in real time, spotting defects the moment they happen.
By leveraging 5G, manufacturers can inspect multiple components at once, cutting down on manual inspections and boosting efficiency. Its stable network ensures smooth operation of automated systems, reducing downtime and maintaining consistent product quality.
Private 5G networks offer fast response times, dependable performance, and strong security measures, making them perfect for real-time defect detection in production lines. These capabilities allow manufacturers to quickly and accurately spot defects, cutting down on waste, enhancing product quality, and streamlining operations.
Thanks to their capacity to manage vast amounts of data and provide seamless connectivity, private 5G networks ensure continuous monitoring and analysis, even in the toughest industrial settings. This makes them an essential asset for today’s manufacturing processes.
Manufacturers can tap into 5G technology to revolutionise defect detection, thanks to its low latency and high-speed connectivity. With private 5G networks, cameras and sensors can instantly transmit high-resolution images and data to AI systems. These systems then analyse the information at lightning speed, spotting defects with incredible precision. The result? Faster inspections, greater accuracy, and less waste.
5G also makes condition-based monitoring and predictive maintenance more practical than ever. By supporting dense sensor networks, it allows manufacturers to identify potential equipment issues early, reducing the risk of unexpected downtime and expensive repairs. Private 5G networks, such as those offered by Firecell, are tailored for industrial settings, providing secure, scalable, and reliable connectivity that works seamlessly with existing production systems.
