5G-SEDAR in Imagine-B5G Open Call #2

The project 5G Sensor Platform-Enabled Dynamic AR Assistance for Enhanced Manufacturing (5G-SEDAR), proposed by HUN-REN SZTAKI and MM-VILL Kft, has been selected as part of the second IMAGINE-B5G Open Call under the Vertical Experiments (VE) initiative. Its main objective is to enhance collaborative robotic scenarios in Industry 4.0 by facilitating a 5G network, a 5G compatible sensor platform, and an artificial intelligence-infused virtual assistant through an AR environment to optimize productivity, improve safety, reduce costs and minimize human errors.

The proposed solution aims to impact the IMAGINE-B5G project on the societal level as follows:

• Safety: The mental stress associated with an industrial environment, particularly in the context of Human-Robot Collaboration (HRC), is a critical consideration. Consequently, mental stress will be evaluated using objective and subjective measures during the Augmented Reality (AR) assistant experiments. This aligns with the Key Value Indicator (KVI), which promotes good health and safety and a sustainable workforce.
• Coverage and access: Improvements in the coverage of sensor data are inherited from the purpose and system design of the sensor platform. The sensor platform relies on a 5G network to transfer data; therefore, the coverage is determined by the coverage of the 5G network. This is a significant improvement to wired robotic arm sensors, where the length of the data transfer cable limits the coverage. Improvements in the access to sensor data are also inherited from the purpose and architecture of the sensor platform. Access is significantly easier than wired solutions because it requires no cabling. Access to the collected data requires no physical access but is determined by the network access.
• Cost and affordability: The cost and affordability of using the 5G network-based sensor platform could be measured by measuring the installation time of the sensor platform. The sensor platform incorporates multiple sensors. Therefore, the installation time could be compared to the installation time of such sensors when mounted individually. This result can be extrapolated to real-world use cases of robotic arms in production environments where installation time is a significant cost factor (high product variations and low volumes).
• Trustworthiness: To demonstrate the improvement of the 5G solution compared to Wi-Fi or other wired and wireless connections, we will focus on key performance metrics such as latency, bandwidth, throughput, and reliability. Using tools like iPerf and ping, we will measure the latency by comparing round-trip times for data packets and the bandwidth by assessing the maximum throughput under 5G and alternative networks. Based on current benchmarks, we expect 5G to deliver up to 50-70% lower latency than Wi-Fi, reducing delays from 30-50 ms to 10-20 ms. Regarding bandwidth, 5G should provide a 50- 100% improvement, potentially reaching up to 1 Gbps or more, compared to the average 300-500 Mbps on Wi-Fi. Additionally, under multi-threaded load scenarios—such as streaming the camera feed in real-time while conducting performance tests—5G will likely show greater reliability and less packet loss, highlighting its superior handling of high data rates and real-time applications.
• Security: Network slicing or other means of isolation in 5G offers significant opportunities to enhance security by allowing each slice to be customized with specific, robust configurations. With slicing, we can implement customized authentication protocols for each slice, ensuring that only authorized users or devices can access

This project has already started its work in the IMAGINE-B5G second open call. If you want to learn more about this and the other selected projects, stay tuned to our website and social media channels.